Alessandro E. P. Villa

Jérémie Cabessa, Alessandro E. P. Villa: The expressive power of analog recurrent neural networks on infinite input streams. Theor. Comput. Sci. 436: 23-34 (2012)

Yoshiyuki Asai, Alessandro E. P. Villa: Spike Transmission on Diverging/Converging Neural Network and Its Implementation on a Multilevel Modeling Platform. ICANN (1) 2012: 272-279

Vladyslav V. Shaposhnyk, Alessandro E. P. Villa: An Effect of Short and Long Reciprocal Projections on Evolution of Hierarchical Neural Networks. ICANN (1) 2012: 371-378

Jérémie Cabessa, Alessandro E. P. Villa: Recurrent Neural Networks - A Natural Model of Computation beyond the Turing Limits. IJCCI 2012: 594-599

Alessandro E. P. Villa, Wlodzislaw Duch, Péter Érdi, Francesco Masulli, Günther Palm (Eds.): Artificial Neural Networks and Machine Learning - ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I. Lecture Notes in Computer Science 7552, Springer 2012, isbn 978-3-642-33268-5

Alessandro E. P. Villa, Wlodzislaw Duch, Péter Érdi, Francesco Masulli, Günther Palm (Eds.): Artificial Neural Networks and Machine Learning - ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II. Lecture Notes in Computer Science 7553, Springer 2012, isbn 978-3-642-33265-4

Yoshiyuki Asai, Alessandro E. P. Villa: Distributed Deterministic Temporal Information Propagated by Feedforward Neural Networks. ICANN (1) 2011: 258-265

Leonardo L. Gollo, Claudio R. Mirasso, Alessandro E. P. Villa: Dynamic control for synchronization of separated cortical areas through thalamic relay. NeuroImage 52(3): 947-955 (2010)

Vladyslav V. Shaposhnyk, Pierre Dutoit, Stephen Perrig, Alessandro E. P. Villa: Functional Connectivity Driven by External Stimuli in a Network of Hierarchically Organized Neural Modules. ICANN (1) 2010: 135-144

Yoshiyuki Asai, Alessandro E. P. Villa: Transmission of Distributed Deterministic Temporal Information through a Diverging/Converging Three-Layers Neural Network. ICANN (1) 2010: 145-154

Alessandro E. P. Villa, Javier Iglesias, Solange Ghernaouti-Helie: OpenAdap.net: a Community-Based Sharing System. IICS 2010: 321-328

Vladyslav V. Shaposhnyk, Alessandro E. P. Villa, Tetiana Aksenova: Advances in structural modeling robust to outliers in explanatory and response variables. IJCNN 2010: 1-8

Jérémie Cabessa, Alessandro E. P. Villa: A Hierarchical Classification of First-Order Recurrent Neural Networks. LATA 2010: 142-153

Olivier Brousse, Jérémie Guillot, Gilles Sassatelli, Thierry Gil, Michel Robert, Juan Manuel Moreno, Alessandro E. P. Villa, Eduardo Sanchez: A Bio-Inspired Agent Framework for Hardware Accelerated Distributed Pervasive Applications. AHS 2009: 415-422

Olivier Brousse, Jérémie Guillot, Thierry Gil, François Grize, Gilles Sassatelli, Juan Manuel Moreno, Jordi Madrenas, Alessandro E. P. Villa, Henri Volken, Michel Robert: JubiTool: Unified design flow for the Perplexus SIMD hardware accelerator. IEEE Congress on Evolutionary Computation 2009: 2070-2075

Vladyslav V. Shaposhnyk, Pierre Dutoit, Victor Contreras-Lámus, Stephen Perrig, Alessandro E. P. Villa: A Framework for Simulation and Analysis of Dynamically Organized Distributed Neural Networks. ICANN (1) 2009: 277-286

Stephen Perrig, Pierre Dutoit, Katerina Espa-Cervena, Vladyslav V. Shaposhnyk, Laurent Pelletier, François Berger, Alessandro E. P. Villa: Changes in quadratic phase coupling of EEG signals during wake and sleep in two chronic insomnia patients, before and after cognitive behavioral therapy. WIRN 2009: 217-228

Javier Iglesias, Alessandro E. P. Villa: Emergence of Preferred Firing Sequences in Large Spiking Neural Networks during Simulated Neuronal Development. Int. J. Neural Syst. 18(4): 267-277 (2008)

Yoshiyuki Asai, Apratim Guha, Alessandro E. P. Villa: Deterministic neural dynamics transmitted through neural networks. Neural Networks 21(6): 799-809 (2008)

Yoshiyuki Asai, Alessandro E. P. Villa: Effect of the Background Activity on the Reconstruction of Spike Train by Spike Pattern Detection. ICANN (2) 2008: 607-616

Javier Iglesias, Jordi García-Ojalvo, Alessandro E. P. Villa: Effect of Feedback Strength in Coupled Spiking Neural Networks. ICANN (2) 2008: 646-654

Olga K. Chibirova, Javier Iglesias, Vladyslav V. Shaposhnyk, Alessandro E. P. Villa: Dynamics of Firing Patterns in Evolvable Hierarchically Organized Neural Networks. ICES 2008: 296-307

Alessandro E. P. Villa, Yoshiyuki Asai, José Pedro Segundo: Influence of the temporal distribution of electric pulses on transcallosal single unit responses. Biosystems 89(1-3): 143-153 (2007)

Tatyana S. Turova, Alessandro E. P. Villa: On a phase diagram for random neural networks with embedded spike timing dependent plasticity. Biosystems 89(1-3): 280-286 (2007)

Javier Iglesias, Alessandro E. P. Villa: Effect of stimulus-driven pruning on the detection of spatiotemporal patterns of activity in large neural networks. Biosystems 89(1-3): 287-293 (2007)

Eduardo Sanchez, Andrés Pérez-Uribe, Andres Upegui, Yann Thoma, Juan Manuel Moreno, Alessandro E. P. Villa, Henri Volken, Andrzej Napieralski, Gilles Sassatelli, Erwan Lavarec: PERPLEXUS: Pervasive Computing Framework for Modeling Complex Virtually-Unbounded Systems. AHS 2007: 587-591

Javier Iglesias, Olga K. Chibirova, Alessandro E. P. Villa: Nonlinear Dynamics Emerging in Large Scale Neural Networks with Ontogenetic and Epigenetic Processes. ICANN (1) 2007: 579-588

Yoshiyuki Asai, Takashi Yokoi, Alessandro E. P. Villa: Deterministic Nonlinear Spike Train Filtered by Spiking Neuron Model. ICANN (1) 2007: 924-933

Roberta Sirovich, Laura Sacerdote, Alessandro E. P. Villa: Effect of Increasing Inhibitory Inputs on Information Processing Within a Small Network of Spiking Neurons. IWANN 2007: 23-30

Alessandro E. P. Villa, Javier Iglesias: OpenAdap.net: Evolvable Information Processing Environment. WILF 2007: 227-236

Yoshiyuki Asai, Takashi Yokoi, Alessandro E. P. Villa: Detection of a Dynamical System Attractor from Spike Train Analysis. ICANN (1) 2006: 623-631

Juan Manuel Moreno, Javier Iglesias, Jan Eriksson, Alessandro E. P. Villa: Physical Mapping of Spiking Neural Networks Models on a Bio-inspired Scalable Architecture. ICANN (1) 2006: 936-943

Javier Iglesias, Alessandro E. P. Villa: Neuronal Cell Death and Synaptic Pruning Driven by Spike-Timing Dependent Plasticity. ICANN (1) 2006: 953-962

Jan Eriksson, Alessandro E. P. Villa: Artificial Neural Networks simulation of learning of auditory equivalence classes for vowels. IJCNN 2006: 526-533

Yoshiyuki Asai, Tatyana I. Aksenova, Alessandro E. P. Villa: Unsupervised Recognition of Neuronal Discharge Waveforms for On-line Real-Time Operation. BVAI 2005: 29-38

Javier Iglesias, Jan Eriksson, Beatriz Pardo, Marco Tomassini, Alessandro E. P. Villa: Stimulus-Driven Unsupervised Synaptic Pruning in Large Neural Networks. BVAI 2005: 59-68

Yoshiyuki Asai, Tatyana I. Aksenova, Alessandro E. P. Villa: On-Line Real-Time Oriented Application for Neuronal Spike Sorting with Unsupervised Learning. ICANN (1) 2005: 109-114

Javier Iglesias, Jan Eriksson, Beatriz Pardo, Marco Tomassini, Alessandro E. P. Villa: Emergence of Oriented Cell Assemblies Associated with Spike-Timing-Dependent Plasticity. ICANN (1) 2005: 127-132

Tatyana I. Aksenova, Vladimir Volkovich, Alessandro E. P. Villa: Robust Structural Modeling and Outlier Detection with GMDH-Type Polynomial Neural Networks. ICANN (2) 2005: 881-886

Juan Manuel Moreno, Jan Eriksson, Javier Iglesias, Alessandro E. P. Villa: Implementation of Biologically Plausible Spiking Neural Networks Models on the POEtic Tissue. ICES 2005: 188-197

Andrew M. Tyrrell, Eduardo Sanchez, Dario Floreano, Gianluca Tempesti, Daniel Mange, Juan Manuel Moreno, Jay R. Rosenberg, Alessandro E. P. Villa: POEtic Tissue: An Integrated Architecture for Bio-inspired Hardware. ICES 2003: 129-140

Jan Eriksson, Oriol Torres, Andrew Mitchell, Gayle Tucker, Ken Lindsay, David M. Halliday, Jay R. Rosenberg, Juan Manuel Moreno, Alessandro E. P. Villa: Spiking Neural Networks for Reconfigurable POEtic Tissue. ICES 2003: 165-173

Oriol Torres, Jan Eriksson, Juan Manuel Moreno, Alessandro E. P. Villa: Hardware Optimization of a Novel Spiking Neuron Model for the POEtic Tissue. IWANN (2) 2003: 113-120

Tatyana I. Aksenova, Olga K. Chibirova, Alim-Louis Benabid, Alessandro E. P. Villa: Nonlinear Oscillation Models for Spike Separation. ISMDA 2002: 61-70

Alessandro E. P. Villa, Igor V. Tetko, Javier Iglesias: Computer assisted neurophysiological analysis of cell assemblies activity. Neurocomputing 38-40: 1025-1030 (2001)

Igor V. Tetko, Alessandro E. P. Villa: Pattern grouping algorithm and de-convolution filtering of non-stationary correlated Poisson processes. Neurocomputing 38-40: 1709-1714 (2001)

Igor V. Tetko, Vsevolod Yu. Tanchuk, Tamara N. Kasheva, Alessandro E. P. Villa: Internet Software for the Calculation of the Lipophilicity and Aqueous Solubility of Chemical Compounds. Journal of Chemical Information and Computer Sciences 41(2): 246-252 (2001)

Igor V. Tetko, Vsevolod Yu. Tanchuk, Alessandro E. P. Villa: Prediction of n-Octanol/Water Partition Coefficients from PHYSPROP Database Using Artificial Neural Networks and E-State Indices. Journal of Chemical Information and Computer Sciences 41(5): 1407-1421 (2001)

Igor V. Tetko, Vsevolod Yu. Tanchuk, Tamara N. Kasheva, Alessandro E. P. Villa: Estimation of Aqueous Solubility of Chemical Compounds Using E-State Indices. Journal of Chemical Information and Computer Sciences 41(6): 1488-1493 (2001)

Vasyl V. Kovalishyn, Igor V. Tetko, Alexander I. Luik, Vladyslav V. Kholodovych, Alessandro E. P. Villa, David J. Livingstone: Neural Network Studies. 3. Variable Selection in the Cascade-Correlation Learning Architecture. Journal of Chemical Information and Computer Sciences 38(4): 651-659 (1998)

Igor V. Tetko, Alessandro E. P. Villa, Tatyana I. Aksenova, Walter L. Zielinski, James Brower, Elizabeth R. Collantes, William J. Welsh: Application of a Pruning Algorithm To Optimize Artificial Neural Networks for Pharmaceutical Fingerprinting. Journal of Chemical Information and Computer Sciences 38(4): 660-668 (1998)

Luc Jeandenans, Michel Gautero, François Grize, Igor V. Tetko, Alessandro E. P. Villa: Computer assisted neurophysiology by a distributed JAVA program. HCC 1998: 261-272

Igor V. Tetko, Alessandro E. P. Villa: Fast combinatorial methods to estimate the probability of complex temporal patterns of spikes. Biological Cybernetics 76(5): 397-408 (1997)

Igor V. Tetko, Alessandro E. P. Villa: Efficient Partition of Learning Data Sets for Neural Network Training. Neural Networks 10(8): 1361-1374 (1997)

Igor V. Tetko, Alessandro E. P. Villa: An Enhancement of Generalization Ability in Cascade Correlation Algorithm by Avoidance of Overfitting/Overtraining Problem. Neural Processing Letters 6(1-2): 43-50 (1997)

Igor V. Tetko, Alessandro E. P. Villa: An Efficient Partition of Training Data Set Improves Speed and Accuracy of Cascade-correlation Algorithm. Neural Processing Letters 6(1-2): 51-59 (1997)

Igor V. Tetko, Alessandro E. P. Villa: A Comparative Study of Pattern Detection Algorithm and Dynamical System Approach Using Simulated Spike Trains. ICANN 1997: 37-42

Alessandra Celletti, Alessandro E. P. Villa: Low-dimensional chaotic attractors in the rat brain. Biological Cybernetics 74(5): 387-393 (1996)

Alessandra Celletti, Alessandro E. P. Villa: Low-dimensional chaotic attractors in the rat brain. Biological Cybernetics 75(6): 509 (1996)

Igor V. Tetko, Alessandro E. P. Villa, David J. Livingstone: Neural Network Studies, 2. Variable Selection. Journal of Chemical Information and Computer Sciences 36(4): 794-803 (1996)