• 203. Sharpening focus: EEG evidence of attention network plasticity following adaptive working memory training in adult ADHD.
    Lintas A., Villa A.E.P.
    Int J Neuropsychopharmacol. 29(Suppl 1): i6, 2026. Pubmed doi: 10.1093/ijnp/pyag040.011


  • Artificial Neural Networks and Machine Learning – ICANN 2026
    Editors: Luca Pasa, Alessandra Lintas, Igor V. Tetko, Alessio Micheli, Nicolò Navarin, Alessandro E. P. Villa, Domenico Tortorella, Mirko Polato
    Part I, Lecture Notes in Computer Science, vol 17089, 2027. doi: 10.1007/978-3-032-38398-3
    Part II, Lecture Notes in Computer Science, vol 17090, 2027. doi: 10.1007/978-3-032-38401-0
    Part III, Lecture Notes in Computer Science, vol 17091, 2027. doi: 10.1007/978-3-032-38410-2
    Part IV, Lecture Notes in Computer Science, vol 17092, 2027. doi: 10.1007/978-3-032-38407-2
    Part V, Lecture Notes in Computer Science, vol 17093, 2027. doi: 10.1007/978-3-032-38404-1


  • Risk attitude and choice consistency identify robust behavioral profiles in decision-making under risk.
    Lintas A., Villa A.E.P.
    Biosystems 268: 105927, 2026. Pubmed doi: 10.1016/j.biosystems.2026.105927


  • Spatial and Temporal Precision in Whole-Brain Mapping via Simultaneous EEG–FONI Recordings.
    Lescuyer-DeDecker L., Villa A.E.P., Lintas L., Kerzel D.
    Brainiacs Journal of Brain Imaging And Computing Sciences 6: W87F1A123, 2025. doi: 10.48085/W87F1A123


  • Boosting Working Memory in ADHD: Adaptive Dual N-Back Training Enhances WAIS-IV Performance, but Yields Mixed Corsi Outcomes.
    Lintas A., Bader M., Villa A.E.P.
    Brain Sciences 15: 998, 2025. Pubmed doi: 10.3390/brainsci15090998


  • Spatial and Temporal Precision in Whole-Brain Mapping via Simultaneous EEG–FONI Recordings.
    Samengo I., Villa A.E.P., Lintas L.
    Brainiacs Journal of Brain Imaging And Computing Sciences 6: EF03F05F2, 2025. doi: 10.48085/EF03F05F2


  • Attractor Regimes of Boolean Recurrent Neural Networks subject to STDP and Global Plasticity.
    Cabessa J., Villa A.E.P.
    2025 International Joint Conference on Neural Networks (IJCNN) : 1-8, 2025. doi: 10.1109/IJCNN64981.2025.11228685


  • Neurovascular Mechanisms in Peripheral Arterial Disease: Impact of Physical Exercise and Cognitive Training.
    Boffy C., Leroy C., Lanzi S., Mazzolai L., Lintas L.
    Brainiacs Journal of Brain Imaging And Computing Sciences 6: YD2D1576B, 2025. doi: 10.48085/YD2D1576B


  • Neuroimaging Fairness in Economic Decisions: EEG and EROS Analysis in the Ultimatum Game.
    Lintas A., Knight R.S., Villa A.E.P.
    Brainiacs Journal of Brain Imaging And Computing Sciences 6: UD194FE74, 2025. doi: 10.48085/UD194FE74


  • Shaping Attractor Landscapes in Boolean Liquid State Machines via STDP and Global Plasticity.
    Cabessa J., Villa A.E.P.
    Lecture Notes in Computer Science 16072: 213-223, 2026. doi: 10.1007/978-3-032-04552-2_20


  • Redefining cognitive neurodynamics through transdisciplinary innovation.
    Villa A.E.P.
    Cognitive Neurodynamics 19: 144, 2025. Pubmed doi: 10.1007/s11571-025-10332-z


  • Asymmetry of attentive networks contributes to adult Attention-deficit/hyperactivity disorder (ADHD) pathophysiology.
    Parlatini V., Radua J., Robertsson N., Lintas A., Atuk E., dell'Acqua F., Thiebaut de Schotten M., Murphy D.
    Eur Arch Psychiatry Clin Neurosci. , 2024. Pubmed doi: 10.1007/s00406-024-01927-4


  • Neuroheuristics, a flexible, problem-solving paradigm in Neuroscience.
    Villa A.E.P.
    in Collana della Rivista di Diritto Romano: Automatisierung-Juristischen-Entscheidungen (Iole Fargnoli, Editor) pp.97-110, 2024. ISBN 978-88-5513-201-5_9


  • A Dual Role for the Dorsolateral Prefrontal Cortex (DLPFC) in Auditory Deviance Detection.
    Jaquerod M.E., Kinght R.S., Lintas A., Villa A.E.P.
    Brain Sciences 14: 994, 2024. Pubmed doi: 10.3390/brainsci14100994


  • Detection of quadratic phase coupling by cross-bicoherence and spectral Granger causality in bifrequencies interactions.
    Abe T., Asai Y., Lintas A., Villa A.E.P.
    Scientific Reports 14: 8521, 2024. Pubmed doi: 10.1038/s41598-024-59004-8


  • Sleep stages dependency of distinct distribution of oscillatory activity across frontal and central cortical areas studied by Frequency-Domain functional Near-Infrared Spectroscopy.
    Perrig S., Lintas A., M. Jaquerod M., Villa A.E.P.
    Sleep Medicine 115:29, 2024. doi: 10.1016/j.sleep.2023.11.117


  • On the semantics of ecoacoustic codes.
    Farina, A., Villa A.E.P
    Biosystems 232: 105002, 2023. Pubmed doi: 10.1016/j.biosystems.2023.105002


  • Detection of quadratic phase coupling by cross- bicoherence and spectral Granger causality in bifrequencies interactions.
    Abe T., Asai Y., Lintas A., Villa A.E.P.
    Research Square Preprint, 2023. doi: 10.21203/rs.3.rs-3325144/v1


  • Editorial: Selected papers from the 14th international neural coding workshop, Seattle, Washington.
    Christodoulou C., D'Onofrio G., Stiber M., Villa A.E.P
    Biosystems 223: 104818, 2023. Pubmed doi: 10.1016/j.biosystems.2022.104818


  • Detection of phase coupling in interacting networks of cortical columns.
    Abe T., Asai Y., Villa A.E.P.
    TechRxiv Preprint, 2022.. doi: 10.36227/techrxiv.19606189.v1


  • Electrophysiological Markers of Fairness and Selfishness Revealed by a Combination of Dictator and Ultimatum Games.
    Miraghaie A.M., Pouretemad H., Villa A.E.P, Mazaheri M.A., Khosrowabadi R., Lintas A.
    Frontiers in Systems Neuroscience e765720, 2022. Pubmed doi: 10.3389/fnsys.2022.765720


  • Event-Related Potentials and Fast Optical Imaging of Cortical Activity During An Auditory Oddball Task.
    Jaquerod M.E., Knight R., Villa A.E.P, Lintas A.
    Advances in Cognitive Neurodynamics (VII) pp. 155-175, 2021. doi: 10.1007/978-981-16-0317-4_18


  • ERPs in Controls and ADHD Patients During Dual n-Back Task.
    Lintas A, Mesrobian S. K, Bader, M, Villa, A.E.P.
    Advances in Cognitive Neurodynamics (VII) pp. 189-203, 2021. doi: 10.1007/10.1007/978-981-16-0317-4_20


  • Initial Topology in Hierarchically Organized Evolvable Neural Networks Determines the Emergence of Synfire Chains.
    Masulli P., Villa A.E.P.
    Advances in Cognitive Neurodynamics (VII) pp. 247, 2021. doi: 10.1007/978-981-16-0317-4_28


  • Neural correlates of individual differences in aversion to risk and choice inconsistencies.
    Jaquerod M.E., Lintas A., Gratton G., Fabiani M., Low K.A., Tobler P.N., Villa A.E.P.
    bioRxiv 443362v1, 2021. doi: 10.1101/2021.05.10.443362


  • Unsupervised Analysis of EEG Signals Reveals Common Personality Traits During an Iterated Ultimatum Game.
    Zheng Q., Liu S., Villa A.E.P., Lintas A.
    Advances in Cognitive Neurodynamics (VII) pp. 275-276, 2021. doi: 10.1007/978-981-16-0317-4_41


  • Causal Interactions Among Cortical Regions During Sleep Based on fNIRS Recordings.
    Abe T, Asai Y., Dotare M., Hayano T., Perrig S.H., Jaquerod M.E., Lintas A., Villa A.E.P.
    Advances in Cognitive Neurodynamics (VII) pp. 273-274, 2021. doi: 10.1007/978-981-16-0317-4_40


  • Operant conditioning deficits and modified local field potential activities in parvalbumin-deficient mice.
    Lintas A., Sánchez-Campusano R., Villa A.E.P., Gruart A., Delgado-García J.M.
    Scientific Reports 11(1): 2970, 2021. Pubmed doi: 10.1038/s41598-021-82519-3


  • Attention Networks in ADHD Adults after Working Memory Training with a Dual n-Back Task.
    Dotare M., Bader M., Mesrobian S.K., Asai Y., Villa A.E.P., Lintas A.
    Brain Sciences 10: 715, 2020. Pubmed doi: 10.3390/brainsci10100715


  • ERP correlates of heuristic decision making strategy and risk attitudes during risky decision making.
    Jaquerod M.E., Lintas A., Gratton G., Fabiani M., Low K., Villa A.E.P.
    Psychophysiology 57: S63-S63, 2020. doi: 10.1111/psyp.13670


  • Early Attentional Modulation by Working Memory Training in Young Adult ADHD Patients during a Risky Decision-Making Task.
    Jaquerod M.E., Mesrobian S.K., Villa A.E.P., Bader M., Lintas A.
    Brain Sciences 10: 38, 2020. Pubmed doi: 10.3390/brainsci10010038


  • Fuzzy Clustering for Exploratory Analysis of EEG Event-Related Potentials.
    Masulli P., Masulli F., Rovetta S., Lintas A., Villa A.E.P.
    IEEE Transactions on Fuzzy Systems 28: 28-38, 2020. doi: 10.1109/TFUZZ.2019.2910499


  • LSTM and 1-D Convolutional Neural Networks for Predictive Monitoring of the Anaerobic Digestion Process.
    McCormick M., Villa A.E.P.
    Lecture Notes in Computer Science 11731: 725-736, 2019. doi: 10.1007/978-3-030-30493-5_65


  • A Memory-Based STDP Rule for Stable Attractor Dynamics in Boolean Recurrent Neural Networks.
    Cabessa J., Villa A.E.P.
    2019 International Joint Conference on Neural Networks (IJCNN) pp. 1-8, 2019. doi: 10.1109/IJCNN.2019.8852043


  • Complex temporal patterns processing by a neural mass model of a cortical column.
    Malagarriga D., Pons A.J., Villa A.E.P.
    Cognitive Neurodynamics 13: 379-392, 2019. doi: 10.1007/s11571-019-09531-2


  • Response Adaptation in Barrel Cortical Neurons Facilitates Stimulus Detection during Rhythmic Whisker Stimulation in Anesthetized Mice.
    Barros-Zulaica N., Villa A.E.P., Nuñez A.
    eNeuro 6: e0471-18, 2019. Pubmed doi: 10.1523/ENEURO.0471-18.2019


  • Attractor dynamics of a Boolean model of a brain circuit controlled by multiple parameters.
    Cabessa J., Villa A.E.P.
    Chaos 28: e106318, 2018. Pubmed doi: 10.1063/1.5042312


  • Granger Causality to Reveal Functional Connectivity in the Mouse Basal Ganglia-Thalamocortical Circuit.
    Lintas A., Abe T., Villa A.E.P., Asai Y.
    Lecture Notes in Computer Science 11140: 393-402, 2018. doi: 10.1007/978-3-030-01421-6_38


  • An STDP Rule for the Improvement and Stabilization of the Attractor Dynamics of the Basal Ganglia-Thalamocortical Network.
    Cabessa J., Villa A.E.P.
    Lecture Notes in Computer Science 11141: 693-702, 2018. doi: 10.1007/978-3-030-01424-7_68


  • An ERP Study Reveals How Training with Dual N-Back Task Affects Risky Decision Making in a Gambling Task in ADHD Patients.
    Mesrobian S.K., Lintas A., Jaquerod M., Bader M., Götte L., Villa A.E.P.
    Advances in Cognitive Neurodynamics (VI) pp. 271-277, 2018. doi: 10.1007/978- 981- 10- 8854- 4_34


  • ERFo: An Algorithm for Extracting a Range of Optimal Frequencies for Filtering Electrophysiological Recordings.
    Caro-Martín C.R., Gruart A., Delgado-García J-M., Villa A.E.P.
    Advances in Cognitive Neurodynamics (VI) pp. 227-233, 2018. doi: 10.1007/978- 981- 10- 8854- 4_29


  • Event-Related Potentials during a Gambling Task in Young Adults with Attention-Deficit/Hyperactivity Disorder.
    Mesrobian S.K., Villa A.E.P., Bader M., Götte L., Lintas A.
    Front. Hum. Neurosci. 12: 79, 2018. Pubmed doi: 10.3389/fnhum.2018.00079


  • Event Related Potentials Reveal Fairness in Willingness-to-share.
    Lintas A., Vysyaraju S.C., Jaquerod M., Villa A.E.P.
    Lecture Notes in Computer Science 10613: 191-198, 2017. doi: 10.1007/978-3-319-68600-4_23


  • Interactive Control of Computational Power in a Model of the Basal Ganglia-Thalamocortical Circuit by a Supervised Attractor-Based Learning Procedure.
    Cabessa J., Villa A.E.P.
    Lecture Notes in Computer Science 10613: 334-342, 2017. doi: 10.1007/978-3-319-68600-4_39


  • Weighted Clique Analysis Reveals Hierarchical Neuronal Network Dynamics.
    Masulli P., Villa A.E.P.
    Lecture Notes in Computer Science 10613: 317-325, 2017. doi: 10.1007/978-3-319-68600-4_37


  • Consistency of heterogeneous synchronization patterns in complex weighted networks.
    Malagarriga D., Villa A.E.P., García-Ojalvo J., Pons A.J.
    Chaos 27: 031102, 2017. Pubmed doi: 10.1063/1.4977972


  • Unsupervised Analysis of Event-Related Potentials (ERPs) During an Emotional Go/NoGo Task.
    Masulli P., Masulli, F., Rovetta, S., Lintas, A., Villa A.E.P.
    Lecture Notes in Artificial Intelligence 10147: 151-161, 2017. doi: 10.1007/978-3-319-52962-2_13


  • Attractor dynamics driven by interactivity in Boolean recurrent neural networks.
    Cabessa J., Villa A.E.P.
    Lecture Notes in Computer Science 9886: 115-122, 2016. doi: 10.1007/978-3-319-44778-0_14


  • Dynamics of evolving feed-forward neural networks and their topological invariants.
    Masulli P., Villa A.E.P.
    Lecture Notes in Computer Science 9886: 99-106, 2016. doi: 10.1007/978-3-319-44778-0_12


  • Attractor-Based Complexity of a Boolean Model of the Basal Ganglia-Thalamocortical Network.
    Cabessa J., Villa A.E.P.
    IEEE Proceeding of the 2016 World Congress on Computational Intelligence 9886: 4664-4671, 2016. doi: 10.1109/IJCNN.2016.7727812


  • Expressive power of first-order recurrent neural networks determined by their attractor dynamics.
    Cabessa J., Villa A.E.P.
    Journal of Computer and System Sciences 82: 1232-1250, 2016. doi: 10.1016/j.jcss.2016.04.006


  • The topology of the directed clique complex as a network invariant.
    Masulli P., Villa A.E.P.
    SpringerPlus 5: e388, 2016. Pubmed doi: 10.1186/s40064-016-2022-y


  • Theoretical Models of Decision-Making in the Ultimatum Game: Fairness vs. Reason.
    Guy T.V., Kárný M., Lintas A., Villa A.E.P.
    Advances in Cognitive Neurodynamics (V) pp. 185-191, 2016. doi: 10.1007/978-981-10-0207-6_26


  • Effect of Parvalbumin Deficiency on Distributed Activity and Interactions in Neural Circuits Activated by Instrumental Learning.
    Gruart A., Delgado-García J.M., Lintas A.
    Advances in Cognitive Neurodynamics (V) pp. 111-117, 2016. doi: 10.1007/978-981-10-0207-6_17


  • Algebro-topological invariants in network theory.
    Masulli P., Villa A.E.P.
    Int. J. Complex Systems in Science 5: 13-17, 2015. ISSN: 2174-6036


  • Computational capabilities of recurrent neural networks based on their attractor dynamics.
    Cabessa J., Villa A.E.P.
    IEEE Proceeding of the 2015 World Congress on Computational Intelligence pp. 628-635, 2015. doi: 10.1109/IJCNN.2015.7280648


  • Synchronization-based computation through networks of coupled oscillators.
    Malagarriga D., García-Vellisca M.A., Villa A.E.P., Buldú J.M., JGarcía-Ojalvo J, Pons A.J.
    Front. Comput. Neurosci. 9: 97, 2015. Pubmed doi: 10.3389/fncom.2015.00097


  • Imperfect Decision Making and Risk Taking Are Affected by Personality.
    Mesrobian S.K., Bader M., Götte L., Villa A.E.P., Lintas A.
    Studies in Computational Intelligence 538: 145-184, 2015. doi: 10.1007/978-3-319-15144-1_6


  • Mesoscopic Segregation of Excitation and Inhibition in a Brain Network Model.
    Malagarriga D., Villa A.E.P., Garcia-Ojalvo J., Pons A.J.
    PLoS Comput Biol 11(2): e1004007, 2015. Pubmed doi: 10.1371/journal.pcbi.1004007


  • Neural Dynamics Associated to Preferred Firing Sequences.
    Villa A.E.P., Lintas A., Cabessa J.
    Advances in Cognitive Neurodynamics (IV) pp. 597-603, 2015. doi: 10.1007/978-94-017-9548-7_86


  • Recurrent Neural Networks and Super-Turing Interactive Computation.
    Cabessa J., Villa A.E.P.
    Springer Series in Bio-/Neuroinformatics Volume 4: 1-29, 2015. doi: 10.1007/978-3-319-09903-3_1


  • Excitation/Inhibition Patterns in a System of Coupled Cortical Columns.
    Malagarriga D., Villa A.E.P., García-Ojalvo J., Pons A.J.
    Lecture Notes in Computer Science 8681: 651-658, 2014. doi: 10.1007/978-3-319-11179-7_82


  • Interactive Evolving Recurrent Neural Networks Are Super-Turing Universal.
    Cabessa J., Villa A.E.P.
    Lecture Notes in Computer Science 8681: 57-64, 2014. doi: 10.1007/978-3-319-11179-7_8


  • An Attractor-Based Complexity Measurement for Boolean Recurrent Neural Networks.
    Cabessa J., Villa A.E.P.
    PLoS ONE 9(4): e0094204, 2014. Pubmed doi: 10.1371/journal.pone.0094204


  • Cooperative behavior in a jump diffusion model for a simple network of spiking neurons.
    Sirovich R., Sacerdote L., Villa A.E.P.
    Math Biosci Eng 11: 385-401, 2014. Pubmed doi: 10.3934/mbe.2014.11.385


  • Visual thalamocortical circuits in parvalbumin-deficient mice.
    Lintas A., Schwaller B., Villa A.E.P.
    Brain Research 1536: 107-118, 2013. Pubmed doi: 10.1016/j.brainres.2013.04.048


  • The Calcium-binding protein parvalbumin modulates the firing properties of the Reticular Thalamic Nucleus bursting neurons.
    Albéri L., Lintas A., Kretz R., Schwaller B., Villa A.E.P.
    Journal of Neurophysiology 109: 2827-2841, 2013. Pubmed doi: 10.1152/jn.00375.2012


  • Effect of Emotion and Personality on Deviation from Purely Rational Decision-Making.
    Fiori M., Lintas A., Mesrobian S., Villa A.E.P.
    Studies in Computational Intelligence 474: 129-161, 2013. doi: 10.1007/978-3-642-36406-8_5


  • The expressive power of analog recurrent neural networks on infinite input streams.
    Cabessa J., Villa A.E.P.
    Theoretical Computer Science 436: 23-34, 2012. doi: 10.1016/j.tcs.2012.01.042


  • Spike Transmission on Diverging/Converging Neural Network and Its Implementation on a Multilevel Modeling Platform.
    Asai Y., Villa A.E.P.
    Lecture Notes in Computer Science 7552: 272-279, 2012. doi: 10.1007/978-3-642-33269-2_35


  • Reciprocal projections in hierarchically organized evolvable neural circuits affect EEG-like signals.
    Shaposhnyk V., Villa A.E.P.
    Brain Research 1434: 266-276, 2012. Pubmed doi: 10.1016/j.brainres.2011.08.018


  • Dopamine deficiency increases synchronized activity in the rat subthalamic nucleus.
    Lintas A., Silkis I.G., Albéri L., Villa A.E.P.
    Brain Research 1434: 142-151, 2012. Pubmed doi: 10.1016/j.brainres.2011.09.005


  • Integration and transmission of distributed deterministic neural activity in feed-forward networks.
    Asai Y., Villa A.E.P.
    Brain Research 1434: 17-33, 2012. Pubmed doi: 10.1016/j.brainres.2011.10.012


  • Neuroheuristics of decision making: from neuronal activity to EEG.
    Villa, A.E.P., Missonnier P., Lintas A.
    Intelligent Systems Reference Library 28: 159-194, 2012.


  • An Effect of Short and Long Reciprocal Projections on Evolution of Hierarchical Neural Networks.
    Shaposhnyk V. V., Villa A.E.P.
    Lecture Notes in Computer Science 7552: 371-378, 2012. doi: 10.1007/978-3-642-33269-2_47


  • Distributed Deterministic Temporal Information Propagated by Feedforward Neural Networks.
    Asai Y., Villa A.E.P.
    Lecture Notes in Computer Science 6791: 258-265, 2011. doi: 10.1007/978-3-642-21735-7_32


  • Dynamical Systems and Accurate Temporal Information Transmission in Neural Networks.
    Villa A.E.P., Asai Y., Iglesias J., Chibirova O.K., Cabessa J., Dutoit P., Shaposhnyk V.
    Advances in Cognitive Neurodynamics (II) pp. 61-65, 2011. doi: 10.1007/978-90-481-9695-1_8


  • A Hierarchical Classification of First-Order Recurrent Neural Networks.
    Cabessa J., Villa A.E.P.
    Chinese Journal of Physiology 53: 407-416, 2010. Pubmed


  • Functional Interactions in Hierarchically Organized Neural Networks Studied with Spatiotemporal Firing Patterns Phase-Coupling Frequencies.
    Perrig S., Iglesias J., Shaposhnyk V., Chibirova O., Dutoit P., Cabessa J., Espa-Cervena K., Pelletier L., Berger F., Villa A.E.P.
    Chinese Journal of Physiology 53: 382-395, 2010. Pubmed


  • OpenAdap.net: a Community-Based Sharing System.
    Villa A.E.P., Iglesias J., Ghernaouti-Helie S.
    Lecture Notes in Informatics P-165: 321-328, 2010. LNI


  • Transmission of Distributed Deterministic Temporal Information through a Diverging/Converging Three-Layers Neural Network.
    Asai Y., Villa A.E.P.
    Lecture Notes in Computer Science 6352: 145-154, 2010. doi: 10.1007/978-3-642-15819-3_19


  • Dynamic control for synchronization of separated cortical areas through thalamic relay.
    Gollo L.L., Mirasso C., Villa A.E.P.
    NeuroImage 52: 947-955, 2010. Pubmed doi: 10.1016/j.neuroimage.2009.11.058


  • Advances in structural modeling robust to outliers in explanatory and response variables.
    Shaposhnyk V., Villa A.E.P, Aksenova T.
    IEEE Proceeding of the 2010 World Congress on Computational Intelligence pp. 628-635, 2010. doi: 10.1109/IJCNN.2010.5596814


  • A Hierarchical Classification of First-Order Recurrent Neural Networks.
    Cabessa J., Villa A.E.P.
    Lecture Notes in Computer Science 6031: 142-153, 2010. doi: 10.1007/978-3-642-13089-2_12


  • Recurrent spatiotemporal firing patterns in large spiking neural networks with ontogenetic and epigenetic processes.
    Iglesias J., Villa A.E.P.
    Journal of Physiology-Paris 104: 137-146, 2010. Pubmed doi: 10.1016/j.jphysparis.2009.11.016


  • Cross-frequency coupling in mesiotemporal EEG recordings of epileptic patients.
    Villa A.E.P., Tetko I.V.
    Journal of Physiology-Paris 104: 197-202, 2010. Pubmed doi: 10.1016/j.jphysparis.2009.11.024


  • Extending existing applications functionality through OpenAdap.net.
    Iglesias J., Villa A.E.P.
    in: Collaborative Environments for Sustainable Innovation, (C. Boer, L. Canetta, Eds.), Proceedings of the 16th International Conference on Concurrent Enterprising, VE-Forum.org, pp. 207-213, 2010. ICE Conference Proceedings


  • JubiTool: Unified design flow for the Perplexus SIMD hardware accelerator.
    Brousse O., Guillot J., Gil T., Grize F., Sassatelli G., Moreno J.M., Madrenas J., Villa A.E.P., Volken H., Robert M.
    Proceedings of the IEEE Congress on Evolutionary Computation 2070-2075, 2009. doi: 10.1109/CEC.2009.4983196


  • A Framework for Simulation and Analysis of Dynamically Organized Distributed Neural Networks.
    Shaposhnyk V.V., Dutoit P., Contreras-Lámus V., Perrig S., Villa A.E.P.
    Lecture Notes in Computer Science 5768: 277-286, 2009. doi: 10.1007/978-3-642-04274-4_29


  • Changes in quadratic phase coupling of EEG signals during wake and sleep in two chronic insomnia patients, before and after cognitive behavioral therapy.
    Perrig S., Dutoit P., Espa-Cervena K., Shaposhnyk V.V., Pelletier L., Berger F., Villa A.E.P.
    Frontiers in Artificial Intelligence and Applications 204: 217-228, 2009. doi: 10.3233/978-1-60750-072-8-217


  • A Bio-Inspired Agent Framework for Hardware Accelerated Distributed Pervasive Applications.
    Brousse O., Guillot J., Sassatelli G., Gil T., Robert M., Moreno J.M., Villa A.E.P., Sanchez E.
    Proceedings of the Fourth NASA/ESA Conference on Adaptive Hardware and Systems 415-422, 2009. doi: 10.1109/AHS.2009.54


  • The Wadge Hierarchy of Max-Regular Languages.
    Cabessa J., Duparc J., Facchini A., Murlak F.
    in IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2009), Leibniz International Proceedings in Informatics (LIPIcs) (Ravi Kannan and K. Narayan Kumar Eds.), 4:121-132, 2009. doi: 10.4230/LIPIcs.FSTTCS.2009.2312


  • Limit knowledge of rationality.
    Bach C.W, Cabessa J.
    in TARK '09: Proceedings of the 12th Conference on Theoretical Aspects of Rationality and Knowledge 34-40, 2009. doi: 10.1145/1562814.1562823


  • Deterministic neural dynamics transmitted through neural networks.
    Asai Y., Guha A., Villa A.E.P.
    Neural Networks 21: 799-809, 2008. Pubmed doi: 10.1016/j.neunet.2008.06.014


  • Emergence of preferred firing sequences in large spiking neural networks during simulated neural development.
    Iglesias J., Villa A.E.P.
    International Journal of Neural Systems 18: 267-277, 2008. Pubmed doi: 10.1142/S0129065708001580


  • Dynamics of Firing Patterns in Evolvable Hierarchically Organized Neural Networks.
    Chibirova O.K., Iglesias J., Shaposhnyk V., Villa A.E.P.
    Lecture Notes in Computer Science 5216: 296-307, 2008. doi: 10.1007/978-3-540-85857-7_26


  • OpenAdap.net: Dynamical and Open Source Approach to Knowledge Sharing.
    Villa A.E.P., Iglesias J.
    in: Collaboration and the Knowledge Economy: Issues, Applications, Case Studies, Eds. P. Cunningham and M. Cunningham, IOS Press, Amsterdam , pp. 715-722, 2008. ISBN: 978-1-58603-924-0


  • Reconstruction of underlying nonlinear deterministic dynamics embedded in noisy spike trains.
    Asai Y., Villa A.E.P.
    Journal of Biological Physics 34: 325-340, 2008. Pubmed doi: 10.1007/s10867-008-9093-0


  • Effect of Feedback Strength in Coupled Spiking Neural Networks.
    Iglesias J., García-Ojalvo J., Villa A.E.P.
    Lecture Notes in Computer Science 5164: 646-654, 2008. doi: 10.1007/978-3-540-87559-8_67


  • Neural Coding in the Neuroheuristic Perspective.
    Villa A.E.P.
    Biosemiotics 1: 357-377, 2008. doi: 10.1007/978-1-4020-6340-4_16


  • Detection of Dynamical Systems from Noisy Multivariate Time Series.
    Asai Y., Villa A.E.P.
    Progress in Probability 59: 3-17, 2008. doi: 10.1007/978-3-7643-8458-6_1


  • Deterministic Nonlinear Spike Train Filtered by Spiking Neuron Model.
    Asai Y., Yokoi T., Villa A.E.P.
    Lecture Notes in Computer Science 4668: 924-933, 2007. doi: 10.1007/978-3-540-74690-4_94


  • PERPLEXUS: Pervasive Computing Framework for Modeling Complex Virtually-Unbounded Systems.
    Sanchez E., Perez-Uribe A., Upegui A., Thoma Y., Moreno J.M., Villa, A.E.P., Volken H., Napieralski A., Sassatelli G., Lavarec E.
    Proceedings of the Second NASA/ESA Conference on Adaptive Hardware and Systems 587-591, 2007. doi: 10.1109/AHS.2007.84


  • Nonlinear Dynamics Emerging in Large Scale Neural Networks with Ontogenetic and Epigenetic Processes.
    Iglesias J., Chibirova O.K., Villa A.E.P.
    Lecture Notes in Computer Science 4668: 924-933, 2007. doi: 10.1007/978-3-540-74690-4_59


  • OpenAdap.net: Evolvable Information Processing Environment.
    Villa A.E.P., Iglesias J.
    Lecture Notes in Artificial Intelligence 4578: 227-236, 2007. doi: 10.1007/978-3-540-73400-0_28


  • Effect of increasing inhibitory inputs on information processing within a small network of spiking neurons.
    Sirovich R., Sacerdote L., Villa A.E.P.
    Lecture Notes in Computer Science 4507: 23-30, 2007. doi: 10.1007/978-3-540-73007-1_4


  • Influence of the temporal distribution of electric pulses on transcallosal single unit responses.
    Villa A.E.P., Asai Y., Segundo J. P.
    BioSystems 89: 143-153, 2007. Pubmed doi: 10.1016/j.biosystems.2006.04.013


  • On a phase diagram for random neural networks with embedded spike timing dependent plasticity.
    Turova T.S., Villa A.E.P.
    BioSystems 89: 280-286, 2007. Pubmed doi: 10.1016/j.biosystems.2006.05.019


  • Knowledge Sharing by means of OpenAdap.net.
    Villa A.E.P., Iglesias J., Ghernaouti-Helie S.
    in: Expanding the Knowledge Economy: Issues, Applications, Case Studies, Eds. P. Cunningham and M. Cunningham, IOS Press, Amsterdam , pp. 805-813, 2007. ISBN: 978-1-58603-801-4


  • Detection of spectral instability in EEG recordings during the preictal period.
    Aksenova T.I., Volkovych V.V., Villa A.E.P.
    J. Neural Eng. 4: 173-178, 2007. Pubmed doi: 10.1088/1741-2560/4/3/001


  • Effect of stimulus-driven pruning on the detection of spatiotemporal patterns of activity in large neural networks.
    Iglesias J., Villa A.E.P.
    BioSystems 89: 287-293, 2007. Pubmed doi: 10.1016/j.biosystems.2006.05.020


  • The neuroheuristic perspective of neural rhytms.
    Villa A.E.P.
    Symmetry: Culture and Science 18: 131-148, 2007. ISSN: 0865-4824


  • Differences in locomotor behavior revealed in mice deficient for the calcium-binding proteins parvalbumin, calbindin D-28k or both.
    Farré-Castany M.A., Schwaller B., Gregory P., Barski J., Mariethoz C., Eriksson J.L., Tetko I.V., Wolfer D., Celio M.R., Schmutz I., Albrecht U., Villa A.E.P.
    Behavioural Brain Research 178: 250-261, 2007. Pubmed doi: 10.1016/j.bbr.2007.01.002


  • Learning of auditory equivalence classes for vowels by rats.
    Eriksson J.L., Villa A.E.P.
    Behavioral Processes 73: 348-359, 2006. Pubmed doi: 10.1016/j.beproc.2006.08.005


  • The POEtic electronic tissue and its role in the emulation of large-scale biologically inspired spiking neural networks models.
    Moreno J.M., Thoma Y., Sanchez E., Eriksson J.L., Iglesias J., Villa A.E.P.
    ComPlexUs 3: 32-47, 2006. doi: 10.1159/000094186


  • Detection of a Dynamical System Attractor from Spike Train Analysis.
    Asai Y., Yokoi T., Villa A.E.P.
    Lecture Notes in Computer Science 4131: 623-631, 2006. doi: 10.1007/11840817_65


  • openAdap.net: A Collaborative Sharing Environment.
    Villa A.E.P., Iglesias J.
    in: Exploiting the Knowledge Economy: Issues, Applications, Case Studies, Eds. P. Cunningham and M. Cunningham, IOS Press, Amsterdam , pp. 753-760, 2006. ISBN: 978-1-58603-682-9


  • Neuronal Cell Death and Synaptic Pruning Driven by Spike-Timing Dependent Plasticity.
    Iglesias J, Villa A.E.P.
    Lecture Notes in Computer Science 4131: 953-962, 2006. doi: 10.1007/11840817_99


  • openAdap.net: A Technical Perspective.
    Villa A.E.P., Iglesias J., Ghernaouti-Helie S.
    in: IST-Africa 2006 Conference Proceedings, Eds. P. Cunningham and M. Cunningham, IIMC International Information Management Corporation, Dublin, pp 1-11, 2006. ISBN: 1-905824-01-7


  • On the Classification of Experimental Data Modeled Via a Stochastic Leaky Integrate and Fire Model Through Boundary Values.
    Sacerdote L., Villa A.E.P., Zucca C.
    Bulletin of Mathematical Biology 68: 1257-1274, 2006. Pubmed doi: 10.1007/s11538-006-9107-7


  • Implementation of Biologically Plausible Spiking Neural Networks Models on the POEtic Tissue.
    Moreno J.M., Eriksson J., Iglesias J., Villa A.E.P.
    Lecture Notes in Computer Science 3637: 188-197, 2005. doi: 10.1007/11549703_18


  • On-Line Real-Time Oriented Application for Neuronal Spike Sorting with Unsupervised Learning.
    Asai Y., Aksenova T.I., Villa A.E.P.
    Lecture Notes in Computer Science 3696: 109-114, 2005. doi: 10.1007/11550822_18


  • Algorithms of Classification of Neuron Impulses Based on Dynamic Equations.
    Chibirova O.K., Larouche L., Villa A.E.P., Aksenova T.I.
    Journal of Automation and Information Sciences 37(2): 46-54, 2005. doi: 10.1615/J Automat Inf Scien.v37.i2.60


  • Stimulus-Driven Unsupervised Synaptic Pruning in Large Neural Networks.
    Iglesias J., Eriksson J., Pardo B., Tomassini T., Villa A.E.P.
    Lecture Notes in Computer Science 3704: 59-68, 2005. doi: 10.1007/11565123_6


  • Emergence of Oriented Cell Assemblies Associated with Spike-Timing-Dependent Plasticity.
    Iglesias J., Eriksson J., Pardo B., Tomassini T., Villa A.E.P.
    Lecture Notes in Computer Science 3696: 127-132, 2005. doi: 10.1007/11550822_21


  • Robust Structural Modeling and Outlier Detection with GMDH-Type Polynomial Neural Networks.
    Aksenova T., Volkovich V., Villa A.E.P.
    Lecture Notes in Computer Science 3697: 881-886, 2005. doi: 10.1007/11550907_139


  • Spatio-Temporal Patterns of Spike Occurrences in Freely-Moving Rats Associated to Perception of Human Vowels.
    Villa A.E.P.
    Chapter 17 in: Auditory Cortex: Towards a Synthesis of Human and Animal Research, Eds. R. König, P. Heil, E. Budinger and H. Scheich, Lawrence Erlbaum Associates, Oxford, pp 241-254, 2005. ISBN: 978-0-8058-4938-7 / 978-0-415-65229-2


  • Event-related potentials in an auditory oddball situation in the rat.
    Eriksson J.L., Villa A.E.P.
    BioSystems 79: 207-212, 2005. doi: 10.1016/j.biosystems.2004.09.017


  • Unsupervised Spike Sorting of extracellular electrophysiological recording in subthalamic nucleus of Parkinsonian patients.
    Chibirova O.K., Aksenova T.I., Benabid A.L., Chabardes S., Larouche S., Rouat J., Villa A.E.P.
    BioSystems 79: 159-171, 2005. Pubmed doi: 10.1016/j.biosystems.2004.09.028


  • Dynamics of pruning in simulated large-scale spiking neural networks.
    Iglesias J., Eriksson J., Grize F., Tomassini M., Villa A.E.P.
    BioSystems 79: 11-20, 2005. Pubmed doi: 10.1016/j.biosystems.2004.09.016


  • Parvalbumin deficiency affects network properties resulting in increased susceptibility to epileptic seizures.
    Schwaller B., Tetko I.V., Tandon P., Silveira D.C., Vreugdenhil M., Henzi T., Potier M.-C., Celio M.R., Villa A.E.P.
    Molecular and Cellular Neuroscience 25: 650-663, 2004. Pubmed doi: 10.1016/j.mcn.2003.12.006


  • Hardware optimization and serial implementation of a novel spiking neuron model for the POEtic tissue.
    Torres O., Eriksson J., Moreno J.M., Villa A.E.P.
    BioSystems 76: 201-208, 2004. Pubmed doi: 10.1016/j.biosystems.2004.05.012


  • Dopamine modulation of glutamate metabotropic receptors in conditioned reaction of sensory motor cortex neurons of the cat.
    Storozhuk V.M., Khorevin V.I., Rozumna N.M., Villa A.E.P, Tetko I.V.
    Neuroscience Letters 356: 127130, 2004. Pubmed doi: 10.1016/j.neulet.2003.11.039


  • Detection of syntonies between multiple spike trains using a coarse-grain binarization of spike count distributions.
    Del Prete V., Martignon L., Villa A.E.P.
    Network: Computation in Neural Systems 15: 13-28, 2004. Pubmed doi: 10.1088/0954-898X_15_1_002


  • Nonparametric On-Line Detection of Changes in Signal Spectral Characteristics for Early Prediction of Epilepsy Seizure Onset
    Aksenova T.I., Volkovich V.V., Villa A.E.P.
    Journal of Automation and Information Sciences 36(8): 35-45, 2004. doi: 10.1615/JAutomatInfScien.v36.i8.30


  • Hardware Optimization of a Novel Spiking Neuron Model for the POEtic tissue.
    Torres O., Eriksson J., Moreno J.M., Villa A.E.P.
    Lecture Notes in Computer Science 2687: 113-120, 2003. doi: 10.1007/3-540-44869-1_15


  • An unsupervised automatic method for sorting neuronal spike waveforms in awake and freely moving animals.
    Aksenova T.I., Chibirova O.K., Dryga O.A., Tetko I.V., Benabid A.-L., Villa A.E.P.
    Methods 30: 178-187, 2003. Pubmed doi: 10.1016/S1046-2023(03)00079-3


  • POEtic : An Integrated Architecture for Bio-Inspired Hardware.
    Tyrrell A.M., Sanchez E., Floreano D., Tempesti G., Mange D., Moreno J.M., Rosenberg J., Villa A.E.P.
    Lecture Notes in Computer Science 2606: 129-140, 2003. doi: 10.1007/3-540-36553-2_12


  • Spiking Neural Networks for Reconfigurable POEtic Tissue.
    Eriksson J., Torres O., Mitchell A., Tucker G., Lindsay K., Halliday D., Rosenberg J., Moreno J.M., Villa A.E.P.
    Lecture Notes in Computer Science 2606: 165-174, 2003. doi: 10.1007/3-540-36553-2_15


  • The Effects of Activation of Glutamate Ionotropic Connections of Neurons in the Sensorimotor Cortex in a Conditioned Reflex.
    Storozhuk V.M., Khorevin V.I., Razumna N.M., Tetko I.V., Villa A.E.P.
    Neuroscience and Behavioral Physiology 33: 479-488, 2003. Pubmed doi: 10.1023/A:1023415317960


  • Cortical Modulation of Auditory processing in the Thalamus.
    Villa A.E.P.
    Chapter 4 in: Virtual lesions: Examining Cortical Function with reversible Deactivation, Eds. S.G. Lomber and R.A.W. Galuske, Oxford University Press, Oxford, pp. 83-119, 2002. ISBN: 978-0-19-850893-9


  • Dopamine modulation of activity of cat sensorimotor cortex neurons during conditioned reflexes.
    Storozhuk V.M., Khorevin V.I., Rozumna N.M., Villa A.E.P., Tetko I.V.
    Neuroscience Lett. 330: 171-174, 2002. Pubmed doi: 10.1016/S0304-3940(02)00775-9


  • A middle time recognition of epileptic seizures from geometrical patterns of EEG data.
    Makarenko A., Oleksandruk B., Schindler K., Donatti F., Villa A.E.P., Tetko I.V.
    System Research and Information Technologies 1: 120-127, 2002. ISSN: 1681-6048


  • [Activation of glutamate ionotropic connections of sensorimotor cortex neurons during conditioning].
    Storozhuk V.M., Khorevin V.I., Razumna N.N., Tetko I.V., Villa A.E.P.
    Zh Vyssh Nerv Deiat Im I P Pavlova [J. Higher Nervous Activity] 52: 292-301, 2002. Pubmed ISSN: 0044-4677


  • Clonazione, ex uno plures?
    Levi Montalcini R., Sgaramella V., Villa A.E.P.
    in: Libro dell'Anno 2000, Istituto della Enciclopedia Italiana, Roma, pp. 250-264, 2001. Treccani ISBN: 978-8-81200-003-6


  • Determination of chaotic attractors in short discrete time series.
    Celletti A., Froeschlé C., Tetko I.V., Villa A.E.P.
    in: The Restless Universe: Applications of Gravitational N-Body Dynamics to Planetary, Stellar and Galactic Systems , Eds B.A. Steves and A.J. Maciejewski, Institute of Physics, Bristol, pp. 339-360, 2001. ISBN: 978-0-7503-0822-9 doi: 10.1201/9781420033304.ch18


  • The "Conscious I": A Neuroheuristic Approach to the Mind.
    Taylor J.G., Villa A.E.P.
    in: Frontiers of Life, Academic Press, Volume 3, pp. 349-368, 2001. ISBN: 978-0-12-077340-4


  • Recognition of the Type of Interaction between Neurons from Their Cross-Correlation Histograms with the Use of the Voting Procedure.
    Villa A.E.P., Tetko I. V., Ivakhnenko A.G.,Ivakhnenko G.A., Sarychev A.P.
    Pattern Recognition and Image Analysis, 11: 743-750, 2001. ISSN: 1054-6618


  • Estimation of Aqueous Solubility of Chemical Compounds Using E-State Indices.
    Tetko I.V., Tanchuk V.Yu., Kasheva T.N., Villa A.E.P.
    J. Chem. Inf. Comput. Sci. 41: 1488-1493, 2001. Pubmed doi: 10.1021/ci000392t


  • Prediction of n-Octanol/Water Partition Coefficients from PHYSPROP Database Using Artificial Neural Networks and E-State Indices.
    Tetko I.V., Tanchuk V.Yu., Villa A.E.P.
    J. Chem. Inf. Comput. Sci. 41: 1407-1421, 2001. Pubmed doi: 10.1021/ci010368v


  • Internet software for the calculation of the lipophilicity and aqueous solubility of chemical compounds.
    Tetko I.V., Tanchuk V.Y., Kasheva T.N., Villa A.E.P.
    J. Chem. Inf. Comput. Sci. 41: 246-252, 2001. Pubmed doi: 10.1021/ci000393l


  • Different tonic regulation of neuronal activity in the rat dorsal raphe and medial prefrontal cortex via 5-HT1A receptors.
    Hajós M., Hoffmann W.E., Tetko I.V., Hyland B., Sharp T., Villa A.E.P.
    Neuroscience Letters 304: 129-132, 2001. Pubmed doi: 10.1016/S0304-3940(01)01751-7


  • Computer Assisted Neurophysiological Analysis of Cell Assemblies.
    Villa A.E.P., Tetko I.V., Iglesias J.
    Neurocomputing 38-40: 1025-1030, 2001. doi: 10.1016/S0925-2312(01)00379-4


  • Pattern Grouping Algorithm and De-Convolution Filtering of Non-Stationary Correlated Poisson Processes.
    Tetko I.V., Villa A.E.P.
    Neurocomputing 38-40: 1709-1714, 2001. doi: 10.1016/S0925-2312(01)00536-7


  • A Pattern Grouping Algorithm for Analysis of Spatiotemporal Patterns in Neuronal Spike Trains. 2. Application to Simultaneous Single Unit Recordings.
    Tetko I.V., Villa A.E.P.
    Journal of Neuroscience Methods 105: 15-24, 2001. Pubmed doi: 10.1016/S0165-0270(00)00337-X


  • A Pattern Grouping Algorithm for Analysis of Spatiotemporal Patterns in Neuronal Spike Trains. 1. Detection of Repeated Patterns.
    Tetko I.V., Villa A.E.P.
    Journal of Neuroscience Methods 105: 1-14, 2001. Pubmed doi: 10.1016/S0165-0270(00)00336-8


  • Empirical Evidence about Temporal Structure in Multi-unit Recordings. Villa A.E.P.
    in: Time and the Brain (R. Miller Ed.), Conceptual advances in brain research. Vol.3, pp. 1-51, 2000. ISBN: 978-9-05823-060-7


  • La neuroheuristique, un paradigme distinct en neurosciences. [Neuroheuristics, a new paradigm in neuroscience].
    Villa A.E.P.
    Revue Médicale de la Suisse Romande 120: 743-748, 2000. Pubmed


  • Non-linear cortico-cortical interactions modulated by cholinergic afferences from the rat basal forebrain.
    Villa A.E.P., Tetko I.V., Dutoit P., Vantini G.
    Biosystems 58: 195-202, 2000. Pubmed doi: 10.1016/S0303-2647(00)00126-X


  • Polynomial neural network for linear and non-linear model selection in quantitative-structure activity relationship studies on the internet.
    Tetko I.V., Aksenova T.I., Volkovich V.V., Kasheva T.N., Filipov D.V., Welsh W.J., Livingstone D.J., Villa A.E.P.
    SAR QSAR Environ. Res. 11: 263-280, 2000. Pubmed doi: 10.1080/10629360008033235


  • Variable Selection in the Cascade-Correlation Learning Architecture.
    Tetko I.V., Kovalyshyn V.V., Luik A.I., Kasheva T.N., Villa A.E.P., Livingstone D.J.
    in: Molecular Modeling and Prediction of Bioactivity (Klaus Gundertofte, Flemming Steen Jørgensen Eds.), pp. 243-246, World Scientific, Singapour, 2000. doi: 10.1007/978-1-4615-4141-7_124


  • Non-linear coupling of local field potentials across cortical sites in parvalbumin-deficient mice.
    Villa A.E.P., Dutoit P., Tetko I.V., Hunziker W., Celio M., Schwaller B.
    in: Chaos in Brain? (K. Lehnertz, J. Arnhold, P. Grassberger and C.E. Elger Eds.), pp. 243-246, World Scientific, Singapour, 2000. doi: 10.1142/9789812793782_0023


  • Detection of deterministic dynamics in short discrete time series.
    Celletti A., Froeschlé C., Tetko I.V., Villa A.E.P.
    in: Chaos in Brain? (K. Lehnertz, J. Arnhold, P. Grassberger and C.E. Elger Eds.), pp. 213-216, World Scientific, Singapour, 2000. doi: 10.1142/9789812793782_0016


  • L'Io cosciente: una visione neuroeuristica della mente.
    Villa A.E.P., Taylor J.G.
    in: Frontiere della Vita, Vol. 3, pp. 323-342, Istituto della Enciclopedia Italiana, Roma, 1999. TreccaniL'enciclopedia italiana


  • Stimulus congruence affects perceptual processes in a novel Go/Nogo conflict paradigm in rats.
    Villa A.E.P., Eriksson C., Eriksson J., Haeberli C., Hyland B., Najem A.
    Behavioural Processes 48: 69-88, 1999. doi: 10.1016/S0376-6357(99)00070-4


  • c-Fos expression in the auditory pathways related to the significance of acoustic signals in rats performing a sensory-motor task.
    Carretta D., Hervé-Minvielle A., Bajo V.M., Villa A.E.P., Rouiller E.M.
    Brain Research 841: 170-183, 1999. Pubmed doi: 10.1016/S0006-8993(99)01840-5


  • Spatiotemporal Activity Patterns Detected from Single Cell Measurements from Behaving Animals.
    Villa A.E.P., Tetko I.V.
    Proceedings of SPIE 3728: 20-34, 1999. doi: 10.1117/12.343039


  • Pharmaceutical Fingerprinting in Phase Space. 1 Construction of Phase Fingerprints.
    Aksenova T.I., Tetko I.V., Ivakhnenko A.G., Villa A.E.P., Welsh W.J., Zielinski W.L.
    Anal. Chem. 71:2423-2430, 1999. Pubmed doi: 10.1021/ac981345r


  • Pharmaceutical Fingerprinting in Phase Space. 2 Pattern Recognition.
    Tetko I.V., Aksenova T.I., Patiokha A.A., Villa A.E.P., Welsh W.J., Zielinski W.L., Livingstone D.J.
    Anal. Chem. 71:2431-2439, 1999. Pubmed doi: 10.1021/ac981346j


  • Deterministic behaviour of short time series.
    Celletti A., Froeschlé C., Tetko I.V., Villa A.E.P.
    Meccanica 34:145-152, 1999. doi: 10.1023/A:1004668310653


  • Spatiotemporal activity patterns of rat cortical neurons predict responses in a conditioned task.
    Villa A.E.P., Tetko I.V, Hyland B., Najem A.
    Proc. Natl. Acad. Sci. USA 96: 1006-1011, 1999. Pubmed doi: 10.1073/pnas.96.3.1106


  • Application of Neural Networks for Predicting Partition Coefficient Based on Atom-Type Electrotopological State Indices.
    Huuskonen J.J., Villa A.E.P., Tetko I.V.
    Journal of Pharmacological Sciences 88: 229-233, 1999. Pubmed doi: 10.1021/js980266s


  • Corticofugal modulation of functional connectivity within the auditory thalamus of rat, guinea pig and cat revealed by cooling deactivation.
    Villa A.E.P., Tetko I.V., Dutoit P., de Ribaupierre Y, de Ribaupierre F.
    Journal of Neuroscience Methods 86: 161-178, 1999. Pubmed doi: 10.1016/S0165-0270(98)00164-2


  • Preferential induction of Fos-like immunoreactivity (FLI) in granule cells of the cochlear nucleus by acoustic stimulation in behaving rats.
    Carretta D., Hervé-Minvielle A., Bajo V.M., Villa A.E.P., Rouiller E.M.
    Neuroscience Letters 259: 123-126, 1999. Pubmed doi: 10.1016/S0304-3940(98)00852-0


  • Discharge properties of single neurons in the dorsal nucleus of the lateral lemniscus (DNLL) of the rat.
    Bajo V.M., Villa A.E.P., de Ribaupierre F., Rouiller E.M.
    Brain Research Bulletin 47: 595-610, 1998. Pubmed doi: 10.1016/S0361-9230(98)00127-0


  • Computer assisted neurophysiology by a distributed Java program.
    Jeandenans L., Gautero M., Grize F., Tetko I.V., Villa A.E.P.
    Computers and Biomedical Research 31: 465-475, 1998. Pubmed doi: 10.1006/cbmr.1998.1494


  • Analysis of the deterministic behaviour of experimental series.
    Celletti A., Tetko I.V., Villa A.E.P.
    Journal de Physique IV 8: 209-214, 1998. doi: 10.1051/jp4:1998628


  • Correlation dimension for two experimental time series.
    Celletti A., Bajo Lorenzana V.M., Villa A.E.P.
    Meccanica 33: 381-396, 1998. doi: 10.1023/A:1004355114814


  • Dynamical cell assemblies in the rat auditory cortex in a reaction-time task.
    Villa A.E.P., Hyland B., Tetko I.V., Najem A.
    Biosystems 48: 269-278, 1998. Pubmed doi: 10.1016/S0303-2647(98)00074-4


  • Chaotic dynamics in the primate motor cortex depend on motor preparation in a reaction-time task.
    Villa A.E.P., Tetko I.V., Celletti A., Riehle A.
    Current Psychology of Cognition 17: 763-780, 1998.


  • Application of a Pruning Algorithm to Optimize Artificial Neural Networks for Pharmaceutical Fingerprinting.
    Tetko I.V., Villa A.E.P., Aksenova T.I., Zielinski W.L., Brower J., Collantes E.R., Welsh W.J.
    J. Chem. Inf. Comput. Sci. 38: 660-668, 1998. Pubmed doi: 10.1021/ci970439j


  • Neural Network Studies. 3. Variable Selection in the Cascade-Correlation Learning Architecture.
    Kovalishyn V.V., Tetko I.V., Luik A.I., Kholodovych V.V., Villa A.E.P., Livingstone D.J.
    J. Chem. Inf. Comput. Sci. 38: 651-659, 1998. doi: 10.1021/ci980325n


  • Correlation dimension for paired discrete time series.
    Celletti A., Bajo Lorenzana V.M., Villa A.E.P.
    J. Stat. Physics 89: 877-884, 1997. doi: 10.1007/BF02765549


  • A comparative study of pattern detection algorithm and dynamical system approach using simulated spike trains.
    Tetko I.V., Villa A.E.P.
    Lecture Notes in Computer Science 1327: 37-42, 1997. doi: 10.1007/BFb0020129


  • Ketamine modulation of the temporal pattern of discharges and spike train interactions in the rat substantia nigra pars reticulata.
    Villa A.E.P., Bajo V.M.,
    Brain Research Bulletin 43: 525-535, 1997. Pubmed doi: 1016/S0361-9230(96)00337-1


  • Evolution of c-fos expression in auditory structures during a sensori-motor learning in rats.
    Hervé-Minvielle A., Carretta D., Bajo V.M., Villa A.E.P., Rouiller E.M.
    in: Acoustical Signal Processing in the Central Auditory System (J. Syka Ed.), Plenum Press/New York, pp.49-55, 1997. doi: 10.1007/978-1-4419-8712-9_4


  • Fast combinatorial methods for estimation of complex temporal patterns of spikes.
    Tetko I.V., Villa A.E.P.
    Biological Cybernetics 76: 397-407, 1997. doi: 10.1007/s004220050353


  • Dynamic transitions in global network activity influenced by the balance of excitation and inhibition.
    Hill S.L., Villa A.E.P.
    Network: Computation in Neural Systems 8: 165-184, 1997. doi: 10.1088/0954-898X_8_2_004


  • Lesion-induced network plasticity in remote brain areas - A reply.
    Payne B.R., Lomber S.G., Villa A.E.P.
    Trends in Neuroscience 20: 348-349, 1997. Pubmed doi: 10.1016/S0166-2236(97)89936-5


  • An efficient partition of training data set improves speed and accuracy of cascade-correlation algorithm.
    Tetko I.V., Villa A.E.P.
    Neural Proc. Lett. 6: 51-59, 1997. doi: 10.1023/A:1009619010371


  • An enhancement of generalization ability in cascade correlation algorithm by avoidance of overfitting/overtraining problem.
    Tetko I.V., Villa A.E.P.
    Neural Proc. Lett. 6: 43-50, 1997. doi: 10.1023/A:1009610808553


  • Assessing connections in networks of biological neurons.
    Brillinger D.R., Villa A.E.P.
    in: The Practice of Data Analysis (D.R. Brillinger, L.T. Fernholz, S. Morgenthaler Eds.), Princeton University Press, Princeton, NJ, pp. 77-92, 1997. ISBN: 978-0-691-05782-8


  • Efficient Partition of Learning Data Sets for Neural Network Training.
    Tetko I.V., Villa A.E.P.
    Neural Networks 10: 1361-1374, 1997. Pubmed doi: 10.1016/S0893-6080(97)00005-1


  • Reversible deactivation of cerebral network components.
    Payne B.R., Lomber S.G., Villa A.E.P., Bullier J.
    Trends in Neuroscience 19: 535-542, 1996. Pubmed doi: 10.1016/S0166-2236(96)10061-8


  • Nerve Growth Factor (NGF) modulates information processing in the auditory thalamus.
    Villa A.E.P., Bajo V.M., Vantini G.
    Brain Research Bulletin 39: 139-147, 1996. Pubmed doi: 10.1016/0361-9230(95)02085-3


  • Low dimensional chaotic attractors in the rat brain.
    Celletti A., Villa A.E.P.
    Biological Cybernetics 74: 387-394, 1996. Pubmed doi: 10.1007/BF00206705


  • Determination of chaotic attractors in the rat brain.
    Celletti A., Villa A.E.P.
    J. Stat. Physics 84: 1379-1385, 1996. doi: 10.1007/BF02174137


  • Neural Network Studies. 2. Variable Selection.
    Tetko I.V., Villa A.E.P., Livingstone D.J.
    J. Chem. Inf. Comput. Sci. 36: 794-803, 1996. Pubmed doi: 10.1021/ci950204c


  • Evidence for a repetitive (burst) firing pattern in a sub-population of 5-HT neurones of dorsal and median raphe nuclei.
    Hajós M., Gartside SE, Villa A.E.P., Sharp T.
    Neuroscience 69: 189-197, 1995. Pubmed doi: 10.1016/0306-4522(95)00227-A


  • Visual processing in Alzheimer's Disease.
    Celesia G.G., Villa A.E.P., Brigell M., Lee J.M., Sigurdsson E.
    in Alzheimer's and Parkinson's diseases , (I. Hanin, Y. Mitsuo; A. Fisher, Eds.), Advances in Behavioral Biology 44: 1-12, 1995. ISBN: 978-0-306-45004-4


  • Spatio-temporal patterns of activity controlled by system parameters in a simulated thalamo-cortical neural network.
    Villa A.E.P., Tetko I.V.
    in: Supercomputing in Brain Research: from tomography to neural networks (H. J. Hermann, D. E. Wolf, E. Pöppel, Eds.), World Scientific Publishing/Singapour, pp. 379-388, 1995. ISBN: 978-9-810-22250-5


  • Global spatio-temporal activity influenced by local kinetics in a simulated cortical neural network.
    Hill S.L., Villa A.E.P.,
    in: Supercomputing in Brain Research: from tomography to neural networks (H. J. Hermann, D. E. Wolf, E. Pöppel, Eds.), World Scientific Publishing/Singapour, pp. 371-378, 1995. ISBN: 978-9-810-22250-5


  • Morphology and spatial distribution of corticothalamic terminals originating from the cat auditory cortex.
    Bajo V.M., Rouiller E.M., Welker E., Clarke S., Villa A.E.P., de Ribaupierre Y., de Ribaupierre F.
    Hearing Research 83: 161-174, 1995. Pubmed doi: 10.1016/0378-5955(94)00199-Z


  • Changes of single unit activities in the cat's auditory thalamus and cortex associated to different anesthetic conditions.
    Zurita P., Villa A.E.P., de Ribaupierre Y., de Ribaupierre F., Rouiller E.M.
    Neurosci. Res. 19: 303-316, 1994. Pubmed doi: 10.1016/0168-0102(94)90043-4


  • Examples of the investigation of neural information processing by point process analysis.
    Brillinger D.R., Villa A.E.P.
    in: Advanced Methods of Physiological System Modeling , vol.3, Plenum Press/New York, 111-127, 1994. ISBN: 978-0-306-44819-5


  • Emergence d'une nouvelle synergie entre Informatique et Neurosciences.
    Villa A.E.P.
    Flash Informatique (Ecole Polytechnique Fédérale de Lausanne, Ed.), numéro spécial Informatique et Médecine: 9-11, 1994. FI EPFL


  • An electrophysiological study of visual processing in Alzheimer’s Disease.
    Celesia G.G., Villa A.E.P., Brigell M., Rubboli G., Bolcioni G., Fiori M.G.
    Electroencephal. clin. Neurophysiology 87: 97-104, 1993. Pubmed doi: 10.1016/0013-4694(93)90116-D


  • Cognitive Correlates of Complex Temporal Patterns of Firing.
    Villa A.E.P., J.M. Fuster
    in: Pluridisciplinarité dans Les Sciences Cognitives, (O. Boussaid, M. Brissaud, G. Ritschard & J.-P. Royet, Eds.), Hermes Ed./Paris , 166-179, 1993. ISBN: 978-2-866-01373-8


  • Temporal correlates of information processing during visual short-term memory.
    Villa A.E.P., J.M. Fuster
    NeuroReport 3: 113-116, 1992. Pubmed ISSN: 0959-4965


  • Functional correlates of a three-component spatial model of the alpha rhythm.
    Gratton G., Villa A.E.P., Fabiani M., Bolcioni G., Fiori M.G.
    Brain Research 582: 159-162, 1992. Pubmed doi: 10.1016/0006-8993(92)90332-4


  • Temporal Aspects of Information Processing in the Central Nervous System.
    Villa A.E.P.
    Swiss Federal Inst. of Technology Lausanne (LAMI) CARNAC Annual Review 5: 15-42, 1992.


  • Les catastrophes cachées du cerveau.
    Villa A.E.P.
    Le Nouveau Golem 1: 33-63, 1992.


  • Auditory corticocortical interconnections in the cat: evidence for parallel and hierarchical arrangement of the auditory cortical areas.
    Rouiller E.M., G.M. Simm, A.E.P. Villa, Y. de Ribaupierre, F. de Ribaupierre.
    Exp. Brain Res. 86: 483-505, 1991. Pubmed doi: 10.1007/BF00230523


  • Corticofugal modulation of information processing in the auditory thalamus of the cat.
    Villa A.E.P., E.M. Rouiller, G.M. Simm, P. Zurita, Y. de Ribaupierre, F. de Ribaupierre.
    Exp. Brain Res. 86: 506-517, 1991. Pubmed


  • Evidence for spatio-temporal firing patterns within the auditory thalamus of the cat.
    Villa A.E.P., Abeles M.
    Brain Research 509: 325-327, 1990. Pubmed


  • Physiological differentiation within the auditory part of the thalamic reticular nucleus of the cat.
    Villa A.E.P.
    Brain Research Reviews 15: 25-40, 1990. Pubmed doi: 10.1016/0165-0173(90)90010-L


  • Functional organization of the medial division of the medial geniculate body of the cat: Tonotopic organization, spatial distribution of response properties and cortical connections.
    Rouiller E.M., C. Rodrigues-Dagaëff, G. Simm, Y. de Ribaupierre, A.E.P. Villa, F. de Ribaupierre.
    Hearing Research 39: 127-142, 1989. Pubmed doi: 10.1016/0378-5955(89)90086-5


  • Functional organization of the ventral division of the medial geniculate body of the cat: Evidencies for a rostro-caudal gradient of response properties and cortical projections.
    Rodrigues-Dagaëff C, G. Simm, Y. de Ribaupierre, A.E.P. Villa, F. de Ribaupierre, E.M. Rouiller.
    Hearing Research 39: 103-126, 1989. Pubmed doi: 10.1016/0378-5955(89)90085-3


  • Les réseaux de neurones, le point de vue du physiologiste.
    Villa A.E.P.
    Swiss Federal Inst. of Technology Lausanne (LAMI) CARNAC Annual Review 1: 65-81, 1988.


  • A computer-aided three-dimensional reconstruction of brain structures using high level computer graphics.
    Villa A.E.P., Bruchez M., Simm G., Jeandrevin S.
    Int. J. Biomed. Comp. 20: 289-302, 1987. Pubmed doi: 10.1016/0020-7101(87)90040-7