Professeurs et Recherche

Enseignements

master Neuro Economie
Formations concernées
Maîtrise universitaire ès Sciences en management, Orientation stratégie, organisation et leadership
Maîtrise universitaire ès Sciences en management, Orientation comportement, économie et évolution
Maîtrise universitaire ès Sciences en management, Orientation marketing
Maîtrise universitaire ès Sciences en management, Orientation business analytics

Assistants

	Manon Jaquerod manon.jaquerod@unil.ch page personnelle			Mark McCormick mark.mccormick@unil.ch

Publications

99 dernières publications

: Revue avec comité de lecture

2017

	Barros Zulaica Natalí, Nuñez Ángel (Dir.) (2017). SYNAPTIC PLASTICITY AND SENSORY INFORMATION ROCESSING THROUGH THE THALAMUS AND THE CORTEX OF THE RODENT BARREL FIELD. Université de Lausanne, Faculté des hautes études commerciales.

	Masulli P., Masulli F., Rovetta S., Lintas A. ; Villa A.E.P. (2017). Unsupervised Analysis of Event-related Potentials (ERPs) during an emotional Go/NoGo Task. Fuzzy Logic and Soft Computing Applications WILF 2016 (Vol. 10147, pp. 151-161). Springer International Publishing.

2016

	Cabessa J. , Villa A. E. P. (2016, Jan). Attractor Dynamics Driven by Interactivity in Boolean Recurrent Neural Networks. Artificial Neural Networks and Machine Learning – ICANN 2016, 9886 (pp. 115-122). Springer International Publishing.

	Cabessa J. , Villa A.E.P. (2016). Expressive power of first-order recurrent neural networks determined by their attractor dynamics. Journal of Computer and System Sciences, 82, 1232-1250.

	Cabessa J. , Villa A.E.P. (2016, Juil). Attractor-based complexity of a Boolean model of the basal ganglia-thalamocortical network. 2016 International Joint Conference on Neural Networks (IJCNN). IEEE.

	Guy T.V., Kárný M., Lintas A. ; Villa A.E.P. (2016). Theoretical Models of Decision-Making in the Ultimatum Game: Fairness vs. Reason. Advances in Cognitive Neurodynamics (V) (pp. 185-191). Springer Nature.

	Masulli P. , Villa A.E. P. (2016). Dynamics of Evolving Feed-Forward Neural Networks and Their Topological Invariants. Artificial Neural Networks and Machine Learning – ICANN 2016 (Vol. 9886, pp. 99-106). Springer Nature.

	Masulli Paolo , Villa Alessandro E. P. (2016). The topology of the directed clique complex as a network invariant. SpringerPlus, 5, 388.

2015

	Cabessa J. , Villa A.E.P. (2015, Jan). On Super-Turing Neural Computation. Advances in Cognitive Neurodynamics (IV), 4 (pp. 307-312). Springer Netherlands.

	Cabessa J. , Villa A.E.P. (2015, Jan). Recurrent Neural Networks and Super-Turing Interactive Computation. Artificial Neural Networks, 4 (pp. 1-29). Springer International Publishing.

	Cabessa J. , Villa A.E.P. (2015, Juil). Computational capabilities of recurrent neural networks based on their attractor dynamics. 2015 International Joint Conference on Neural Networks (IJCNN). IEEE.

	Malagarriga D., García-Vellisca M.A., Villa A.E.P., Buldú J.M., García-Ojalvo J. ; Pons A.J. (2015). Synchronization-based computation through networks of coupled oscillators. Frontiers in Computational Neuroscience, 9, NA.

	Malagarriga D., Villa A.E.P., Garcia-Ojalvo J. ; Pons A.J. (2015). Mesoscopic Segregation of Excitation and Inhibition in a Brain Network Model. PLOS Computational Biology, 11, e1004007.

	Mesrobian S.K., Bader M., Götte L., Villa A. E. P. ; Lintas A. (2015). Imperfect Decision Making and Risk Taking Are Affected by Personality. Decision Making: Uncertainty, Imperfection, Deliberation and Scalability (Vol. 538, pp. 145-184). Springer International Publishing.

	Mesrobian S. K., Villa A. E.P. (Dir.) (2015). Does working memory training affect decision making ? : a neuroeconomic study. Université de Lausanne, Faculté de biologie et médecine.

	Mesrobian S. K., Bader M., Götte L., Villa A. E. P. ; Lintas A. (2015). Imperfect Decision Making and Risk Taking Are Affected by Personality. Decision Making: Uncertainty, Imperfection, Deliberation and Scalability (Vol. 538, pp. 145-184). Springer Nature.

	Villa A.E.P., Lintas A. ; Cabessa J. (2015, Jan). Neural Dynamics Associated to Preferred Firing Sequences. Advances in Cognitive Neurodynamics (IV), 4 (pp. 597-604). Springer Netherlands.

2014

	Cabessa J. , Villa A.E.P. (2014). An Attractor-Based Complexity Measurement for Boolean Recurrent Neural Networks. PLoS ONE, 9, e94204.

	Cabessa J. , Villa A.E.P. (2014, Jan). Interactive Evolving Recurrent Neural Networks Are Super-Turing Universal. Artificial Neural Networks and Machine Learning – ICANN 2014, 8681 (pp. 57-64). Springer International Publishing.

	Malagarriga D., Villa A.E.P., García-Ojalvo J. ; Pons A.J. (2014, Jan). Excitation/Inhibition Patterns in a System of Coupled Cortical Columns. Artificial Neural Networks and Machine Learning – ICANN 2014, 8681 (pp. 651-658). Springer International Publishing.

2013

	Alberi L., Lintas A., Kretz R., Schwaller B. ; Villa A.E.P. (2013). The calcium-binding protein parvalbumin modulates the firing 1 properties of the reticular thalamic nucleus bursting neurons. Journal of Neurophysiology, 109, 2827-2841.

	Cabessa J. , Villa A.E.P. (2013, Jan). The Super-Turing Computational Power of Interactive Evolving Recurrent Neural Networks. Artificial Neural Networks and Machine Learning – ICANN 2013, 8131 (pp. 58-65). Springer Berlin Heidelberg.

	Fiori M., Lintas A., Mesrobian S. ; Villa A. E. P. (2013). Effect of Emotion and Personality on Deviation from Purely Rational Decision-Making. Decision Making and Imperfection (Vol. 474, pp. 129-161). Springer Berlin Heidelberg.

	Lintas A., Schwaller B. ; Villa A.E.P. (2013, Nov). Visual thalamocortical circuits in parvalbumin-deficient mice. Brain Research, 1536 (pp. 107-118). Elsevier BV.

	Lintas Alessandra, Mesrobian Sarah K. ; Villa Alessandro E.P. (2013, Sep). Event-related potentials associated with participant’s personality while performing an iterated ultimatum game. 9th Annual Conference of the Society for Neuroeconomics.

	Mesrobian Sarah K., Lintas Alessandra, Bader Michel, Götte Lorenz ; Villa Alessandro E.P. (2013, Sep). Effect of Feedback Information on Neuroeconomic Performance in ADHD and Control Participants . 9th Annual Conference of the Society for Neuroeconomics.

	Villa A.E.P., Sacerdote L. ; Sirovich R. (2013). Cooperative behavior in a jump diffusion model for a simple network of spiking neurons. Mathematical Biosciences and Engineering, 11, 385-401.

2012

	Asai Y. , Villa A.E.P. (2012). Integration and transmission of distributed deterministic neural activity in feed-forward networks. Brain Research, 1434, 17-33.

	Asai Y. , Villa A.E.P. (2012, Jan). Spike Transmission on Diverging/Converging Neural Network and Its Implementation on a Multilevel Modeling Platform. Artificial Neural Networks and Machine Learning – ICANN 2012, 7552 (pp. 272-279). Springer Berlin Heidelberg.

	Cabessa J. , Villa A. E. P. (2012). The expressive power of analog recurrent neural networks on infinite input streams. Theoretical Computer Science, 436, 23-34.

	Lintas A., Silkis I.G., Albéri L. ; Villa A.E.P. (2012). Dopamine deficiency increases synchronized activity in the rat subthalamic nucleus. Brain Research, 1434, 142-151.

	Shaposhnyk V. , Villa A.E.P. (2012). Reciprocal projections in hierarchically organized evolvable neural circuits affect EEG-like signals. Brain Research, 1434, 266-276.

	Shaposhnyk V. , Villa A.E.P. (2012, Jan). An Effect of Short and Long Reciprocal Projections on Evolution of Hierarchical Neural Networks. Artificial Neural Networks and Machine Learning – ICANN 2012, 7552 (pp. 371-378). Springer Berlin Heidelberg.

	Villa A.E. P., Missonnier P. ; Lintas A. (2012). Neuroheuristics of Decision Making: From Neuronal Activity to EEG. Intelligent Systems Reference Library (Vol. 28, pp. 159-194). Springer Berlin Heidelberg.

2011

	Asai Y. , Villa A.E.P. (2011, Jan). Distributed Deterministic Temporal Information Propagated by Feedforward Neural Networks. Artificial Neural Networks and Machine Learning – ICANN 2011, 6791 (pp. 258-265). Springer Berlin Heidelberg.

	Villa A., Fiori M., Mesrobian S., Lintas A., Shaposhnyk V. ; Missonnier P. (2011, Jan). Effect of emotion on the imperfectness of decision making. Proceedings of the 2nd International Workshop on Decision Making with Multiple Imperfect Decision Makers.

	Villa A.E.P., Asai Y., Iglesias J., Chibirova O.K., Cabessa J., Dutoit P. ; Shaposhnyk V. (2011, Jan). Dynamical Systems and Accurate Temporal Information Transmission in Neural Networks. Advances in Cognitive Neurodynamics (II) (pp. 61-65). Springer Netherlands.

2010

	A. E. P. Villa , J. Iglesias ; S. Ghernaouti-Hélie (2010, Jan). OpenAdap.net: a Community-Based Sharing System. 10th International Conference on Innovative Internet Community Services (I2CS), Jubilee Edition 2010, June 3-5, 2010, Bangkok, Thailand, 165 (pp. 321-328). GI.

	Asai Y. , Villa A.E.P. (2010, Jan). Transmission of Distributed Deterministic Temporal Information through a Diverging/Converging Three-Layers Neural Network. Artificial Neural Networks – ICANN 2010, 6352 (pp. 145-154). Springer Berlin Heidelberg.

	Cabessa J. , Villa A. E. P. (2010). A hierarchical classification of first-order recurrent neural networks. Lecture Notes in Computer Science, 6031, 142-153.

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

	Gollo L.L., Mirasso C. ; Villa A.E.P. (2010). Dynamic control for synchronization of separated cortical areas through thalamic relay. NeuroImage, 52, 947-955.

	Iglesias J. , Villa A.E. (2010). Recurrent spatiotemporal firing patterns in large spiking neural networks with ontogenetic and epigenetic processes. Journal of physiology, Paris, 104, 137-146.

	Iglesias J. , Villa A.E.P. (2010, Juin). Extending existing applications functionality through OpenAdap.net. 2010 IEEE International Technology Management Conference (ICE). IEEE.

	Perrig S., Iglesias J., Shaposhnyk V., Chibirova O., Dutoit P., Cabessa J. et al. (2010). Functional interactions in hierarchically organized neural networks studied with spatiotemporal firing patterns and phase-coupling frequencies. The Chinese Journal of Physiology, 53, 382-395.

	Shaposhnyk V., Villa A.E.P. ; Aksenova T. (2010, Juil). Advances in structural modeling robust to outliers in explanatory and response variables. The 2010 International Joint Conference on Neural Networks (IJCNN). IEEE.

	Villa A. E. P. , Tetko I. V. (2010). Cross-frequency coupling in mesiotemporal EEG recordings of epileptic patients. Journal of Physiology - Paris, 104, 197-202.

2009

	Brousse O., Guillot J., Gil T., Grize F., Sassatelli G., Moreno J. M. et al. (2009, Jan). JubiTool: Unified design flow for the Perplexus SIMD hardware accelerator. 2009 IEEE Congress on Evolutionary Computation, Vols. 1-5 (CEC '09) (pp. 2070-2075). IEEE.

	Brousse O., Guillot J., Sassatelli G., Gil T., Robert M., Moreno J. M. et al. (2009, Juil). A Bio-Inspired Agent Framework for Hardware Accelerated Distributed Pervasive Applications. 2009 NASA/ESA Conference on Adaptive Hardware and Systems (pp. 415-422). IEEE.

	Perrig S., Dutoit P., Espa-Cervena K., Shaposhnyk V., Pelletier L., Berger F. ; Villa A. E. P. (2009). Changes in quadratic phase coupling of EEG signals during wake and sleep in two chronic insomnia patients, before and after cognitive behavioral therapy. Frontiers in Artificial Intelligence and Applications, 204, 217-228.

	Shaposhnyk V., Dutoit P., Contreras-Lámus V., Perrig S. ; Villa A. E. P. (2009). A framework for simulation and analysis of dynamically organized distributed neural networks. Lecture Notes in Computer Science, 5768, 277-286.

2008

	Asai Y., Guha A. ; Villa A. E. P. (2008). Deterministic neural dynamics transmitted through neural networks. Neural Networks, 21, 799-809.

	Asai Y. , Villa A. E. P. (2008). Reconstruction of underlying nonlinear deterministic dynamics embedded in noisy spike trains. Journal of Biological Physics, 34, 325-340.

	Asai Y. , Villa A. E. P. (2008). Effect of the background activity on the reconstruction of spike train by spike pattern detection. Lecture Notes in Computer Science, 5164, 607-616.

	Chibirova O., Iglesias J., Shaposhnyk V. ; Villa A. E. P. (2008). Dynamics of firing patterns in evolvable hierarchically organized neural networks. Lecture Notes in Computer Science, 5216, 296-307.

	Iglesias J., Garcá-Ojalvo J. ; Villa A. E. P. (2008). Effect of feedback strength in coupled spiking neural networks. Lecture Notes in Computer Science, 5164, 646-654.

	Iglesias J. , Villa A. E. P. (2008). Emergence of preferred firing sequences in large spiking neural networks during simulated neuronal development. International Journal of Neural Systems, 18, 267-277.

2007

	Aksenova T. I., Volkovych V. V. ; Villa A. E. (2007). Detection of spectral instability in EEG recordings during the preictal period. Journal of Neural Engineering, 4, 173-178.

	Asai Y., Yokoi T. ; Villa A. E. P. (2007). Deterministic nonlinear spike train filtered by spiking neuron model. Lecture Notes in Computer Science, 4668, 924-933.

	Farré-Castany M. A., Schwaller B., Gregory P., Barski J., Mariethoz C., Eriksson J. L. et al. (2007). Differences in locomotor behavior revealed in mice deficient for the calcium-binding proteins parvalbumin, calbindin D-28k or both. Behavioural Brain Research, 178, 250-261.

	Iglesias J., Chibirova O. K. ; Villa A. E. P. (2007). Nonlinear dynamics emerging in large scale neural networks with ontogenetic and epigenetic processes. Lecture Notes in Computer Science, 4668, 579-588.

	Iglesias J. , Villa A. E. P. (2007). Effect of stimulus-driven pruning on the detection of spatiotemporal patterns of activity in large neural networks. BioSystems, 89, 287-293.

	Sanchez E., Perez-Uribe A., Upegui A., Thoma Y., Moreno J. M., Villa A. et al. (2007, Jan). PERPLEXUS: Pervasive computing framework for modeling complex virtually-unbounded systems. Proceedings of the Second NASA/ESA Conference on Adaptive Hardware and Systems (pp. 587-591).

	Sirovich R., Sacerdote L. ; Villa A. E. P. (2007). Effect of increasing inhibitory inputs on information processing within a small network of spiking neurons. Lecture Notes in Computer Science, 4507, 23-30.

	Turova T. S. , Villa A. E. P. (2007). On a phase diagram for random neural networks with embedded spike timing dependent plasticity. BioSystems, 89, 280-286.

	Villa A. E. P., Asai Y. ; Segundo J. P. (2007). Influence of the temporal distribution of electric pulses on transcallosal single unit responses. BioSystems, 89, 143-153.

	Villa A. E. P. , Iglesias J. (2007). OpenAdap.net: Evolvable information processing environment. Lecture Notes in Artificial Intelligence, 4578, 227-236.

	Villa A., Iglesias J. ; Ghernaouti-Hélie S. (2007, Oct). Knowledge Sharing by means of OpenAdap.net. Proceedings of 2nd Workshop IST_Africa - Supporting Research Engagement with Africa.

	Villa A., Iglesias J. ; Ghernaouti-Hélie S. (2007, Sep). OpenAdap.net - A socialware for knowledge sharing. Proceedings of International Conference on Internet Technologies and Applications (ITA).

	Villa A., Iglesias J. ; Ghernaouti-Hélie S. (2007, Juin). OpenAdapt.net: a dynamic middleware for knowledge production and distribution. Proceedings of International conference - Towards a Knowledge Society: Is Knowledge a Public Good? Dynamics of Knowledge Production and Distribution (ESSHRA). Bern.

2006

	Asai Y., Yokoi T. ; Villa A. E. P. (2006). Detection of a dynamical system attractor from spike train analysis. Lecture Notes in Computer Science, 4131, 623-631.

	Eriksson J. L. , Villa A. E. P. (2006, Jan). Artificial Neural Networks simulation of learning of auditory equivalence classes for vowels. Proceedings of International Joint Conference on Neural Networks, 2006. (pp. 526-533).

	Eriksson J. L. , Villa A. E. P. (2006). Learning of auditory equivalence classes for vowels by rats. Behavioural Processes, 73, 348-359.

	Iglesias J. , Villa A. E. P. (2006). Neuronal cell death and synaptic pruning driven by spike-timing dependent plasticity. Lecture Notes in Computer Science, 4131, 953-962.

	Moreno J. M., Iglesias J., Eriksson J. L. ; Villa A. E. P. (2006). Physical mapping of spiking neural networks models on a bio-inspired scalable architecture. Lecture Notes in Computer Science, 4131, 936-943.

	Moreno J. M., Thoma Y., Sanchez E., Eriksson J., Iglesias J. ; Villa A. (2006). The POEtic electronic tissue and its role in the emulation of large-scale biologically inspired spiking neural networks models. Complexus, 3, 32-47.

	Sacerdote L., Villa A. E. P. ; Zucca C. (2006). On the classification of experimental data modeled via a stochastic leaky integrate and fire model through boundary values. Bulletin of Mathematical Biology, 68, 1257-1274.

	Villa A.E.P., Iglesias J. ; Ghernaouti-Hélie S. (2006, Oct). OpenAdap.net: a collaborative sharing environment. Proceedings of E-Challenges 2006.

	Villa A.E.P., Iglesias J. ; Ghernaouti-Hélie S. (2006, Mai). OpenAdap.Net: a technical perspective. Proceedings Workshop IST_Africa - Supporting Research Engagement with Africa (IST-Africa 2006).

	Villa A.E.P., Iglesias J. ; Ghernaouti-Hélie S. (2006, Juin). OpenAdap.Net: a Community-Based Shared System. Proceedings of 6th International Workshop Innovative Internet Community Systems. Neuchâtel, Switzerland.

2005

	Aksenova T.I., Volkovich V.V. ; Villa A.E.P. (2005). Anticipated Detection of Epilepsy Seizure Onset with a Novel Online Disharmony Index. Epilepsia, 46, Suppl. 6, 380.

	Aksenova T.I., Volkovich V.V. ; Villa A.E.P. (2005, Jan). Robust Structural Modeling and Outlier Detection with GMDH-Type Polynomial Neural Networks. Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005: 15th International Conference, Warsaw, Poland, September 11-15, 2005. Proceedings, Part II, 3697 (pp. 881-886). Springer.

	Asai Y., Aksenova T.I. ; Villa A.E.P. (2005, Jan). On-Line Real-Time Oriented Application for Neuronal Spike Sorting with Unsupervised Learning. Artificial Neural Networks: Biological Inspirations – ICANN 2005: 15th International Conference, Warsaw, Poland, September 11-15, 2005. Proceedings, Part I, 3696 (pp. 109-114). Springer.

	Asai Y., Aksenova T.I. ; Villa A.E.P. (2005, Jan). Unsupervised Recognition of Neuronal Discharge Waveforms for On-line Real-Time Operation. Brain, Vision, and Artificial Intelligence: First International Symposium, BVAI 2005, Naples, Italy, October 19 – 21, 2005. Proceedings, 3704 (pp. 29-38). Springer.

	Chibirova O.K., Aksenova T.I., Benabid A.L., Chabardes S., Larouche S., Rouat J. ; Villa A.E.P. (2005). Unsupervised Spike Sorting of extracellular electrophysiological recording in subthalamic nucleus of Parkinsonian patients. BioSystems, 79, 159-171.

	Eriksson J.L. , Villa A.E.P. (2005). Event-related potentials in an auditory oddball situation in the rat. BioSystems, 79, 207-212.

	Iglesias J., Tomassini M. (Dir.) (2005). Emergence of oriented circuits driven by synaptic pruning associated with spike-timing-dependent plasticity (STDP). Université de Lausanne, Faculté des sciences.

	Iglesias J., Eriksson J., Grize F., Tomassini M. ; Villa A. (2005). Dynamics of pruning in simulated large-scale spiking neural networks. Biosystems, 79, 11 - 20.

	Iglesias J., Eriksson J., Pardo B., Tomassini M. ; Villa A. (2005, Jan). Emergence of oriented cell assemblies associated with spike-timing-dependent plasticity. Proceedings of ICANNN 2005, 3696 (pp. 127 - 132). Springer.

	Iglesias J., Eriksson J., Pardo B., Tomassini M. ; Villa A. (2005, Jan). Stimulus-driven unsupervised synaptic pruning in large neural networks. Proceedings of BV & Ai, 3704 (pp. 59 - 68). Springer.

	Moreno J.M., Eriksson J., Iglesias J. ; Villa A.E.P. (2005, Jan). Implementation of Biologically Plausible Spiking Neural Networks Models on the POEtic Tissue. Evolvable Systems: From Biology to Hardware: 6th International Conference, ICES 2005, Sitges, Spain, September 12-14, 2005. Proceedings, 3637 (pp. 188-197). Springer.

	Villa A.E.P. (2005). Spatio-Temporal Patterns of Spike Occurrences in Freely-Moving Rats Associated to Perception of Human Vowels. The Auditory Cortex: A Synthesis of Human and Animal Research (pp. 275-293). Lawrence Erlbaum Associates, Oxford, UK.

	Villa A.E.P., Asai Y., Tetko I.V., Pardo B., Celio M.R. ; Schwaller B. (2005). Cross-channel coupling of neuronal activity in parvalbumin-deficient mice susceptible to epileptic seizures. Epilepsia, 46, Suppl. 6, 359.

2004

	Aksenova T.I., Chibirova O.K. ; Villa A.E.P. (2004, Jan). Nonlinear oscillation models for the spike sorting of single units recorded extracellulary. 2004 IEEE International Joint Conference on Neural Networks, Proceedings, 4 (pp. 3029-3033). IEEE.

	Aksenova T.I., Volkovich V.V. ; Villa A.E.P. (2004). Nonparametric On-Line Detection of Changes in Signal Spectral Characteristics for Early Prediction of Epilepsy Seizure Onset. Journal of Automation and Information Sciences, 36, 35-45.

	Del Prete V., Martinon L. ; Villa A.E.P. (2004). Detection of syntonies between multiple spike trains using a coarse-grain binarization of spike count distributions. Network: Computation in Neural Systems, 15, 13-28.

	Schwaller B., Tetko I.V., Tandon P., Silveira D.C., Vreugdenhil M., Henzi T. et al. (2004). Parvalbumin-deficiency affects network properties resulting in increased susceptibility to epileptic seizure. Molecular and Cellular Neuroscience, 25, 650-663.

	Strozhuk V.M., Khorevin V.I., Rozuman N.M., Villa A.E.P. ; Tekto I.V. (2004). Dopamine modulation of glutamate metabotropic receptors in conditioned reaction of sensory motor cortex neurons of the cat. Neuroscience Letters, 356, 127-130.

	Toores O., Eriksson J., Moreno J.M. ; Villa A.E.P. (2004). Hardware optimization and serial implementation of a novel spiking neuron model for the POEtic tissue. BioSystems, 76, 201-208.

Mots-clés

développement de plateformes informatiques
neuroscience
prise de décision
systèmes d'information (7)

Alessandro Villa

Coordonnées