Alessandro E. P. Villa

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 15

Top Topics

Computational Power

Fuzzy Clustering

Granger Causality

Event Related Potentials

Top Venues

Publications

Almo Farina, Alessandro E. P. Villa
On the semantics of ecoacoustic codes. Biosyst. 232 (2023)
Chris Christodoulou, Giuseppe D'Onofrio, Michael Stiber, Alessandro E. P. Villa
Editorial: Selected papers from the 14th international neural coding workshop, Seattle, Washington. Biosyst. 223 (2023)
Paolo Masulli, Francesco Masulli, Stefano Rovetta, Alessandra Lintas, Alessandro E. P. Villa
Fuzzy Clustering for Exploratory Analysis of EEG Event-Related Potentials. IEEE Trans. Fuzzy Syst. 28 (1) (2020)
Mark McCormick, Alessandro E. P. Villa
LSTM and 1-D Convolutional Neural Networks for Predictive Monitoring of the Anaerobic Digestion Process. ICANN (Workshop) (2019)
Jérémie Cabessa, Alessandro E. P. Villa
A Memory-Based STDP Rule for Stable Attractor Dynamics in Boolean Recurrent Neural Networks. IJCNN (2019)
Alessandra Lintas, Takeshi Abe, Alessandro E. P. Villa, Yoshiyuki Asai
Granger Causality to Reveal Functional Connectivity in the Mouse Basal Ganglia-Thalamocortical Circuit. ICANN (2) (2018)
Jérémie Cabessa, Alessandro E. P. Villa
An STDP Rule for the Improvement and Stabilization of the Attractor Dynamics of the Basal Ganglia-Thalamocortical Network. ICANN (3) (2018)
Paolo Masulli, Alessandro E. P. Villa
Weighted Clique Analysis Reveals Hierarchical Neuronal Network Dynamics. ICANN (1) (2017)
Jérémie Cabessa, Alessandro E. P. Villa
Interactive Control of Computational Power in a Model of the Basal Ganglia-Thalamocortical Circuit by a Supervised Attractor-Based Learning Procedure. ICANN (1) (2017)
Alessandra Lintas, Sarat Chandra Vysyaraju, Manon Jaquerod, Alessandro E. P. Villa
Event Related Potentials Reveal Fairness in Willingness-to-share. ICANN (1) (2017)
Jérémie Cabessa, Alessandro E. P. Villa
Expressive power of first-order recurrent neural networks determined by their attractor dynamics. J. Comput. Syst. Sci. 82 (8) (2016)
Jérémie Cabessa, Alessandro E. P. Villa
Attractor Dynamics Driven by Interactivity in Boolean Recurrent Neural Networks. ICANN (1) (2016)
Paolo Masulli, Francesco Masulli, Stefano Rovetta, Alessandra Lintas, Alessandro E. P. Villa
Unsupervised Analysis of Event-Related Potentials (ERPs) During an Emotional Go/NoGo Task. WILF (2016)
Jérémie Cabessa, Alessandro E. P. Villa
Attractor-based complexity of a Boolean model of the basal ganglia-thalamocortical network. IJCNN (2016)
Paolo Masulli, Alessandro E. P. Villa
Dynamics of Evolving Feed-Forward Neural Networks and Their Topological Invariants. ICANN (1) (2016)
Jérémie Cabessa, Alessandro E. P. Villa
Computational capabilities of recurrent neural networks based on their attractor dynamics. IJCNN (2015)
Daniel Malagarriga, Mariano Alberto García-Vellisca, Alessandro E. P. Villa, Javier M. Buldú, Jordi García-Ojalvo, Antonio J. Pons Rivero
Synchronization-based computation through networks of coupled oscillators. Frontiers Comput. Neurosci. 9 (2015)
Daniel Malagarriga, Alessandro E. P. Villa, Jordi García-Ojalvo, Antonio J. Pons Rivero
Mesoscopic Segregation of Excitation and Inhibition in a Brain Network Model. PLoS Comput. Biol. 11 (2) (2015)
Jérémie Cabessa, Alessandro E. P. Villa
Interactive Evolving Recurrent Neural Networks Are Super-Turing Universal. ICANN (2014)
Daniel Malagarriga, Alessandro E. P. Villa, Jordi García-Ojalvo, Antonio J. Pons Rivero
Excitation/Inhibition Patterns in a System of Coupled Cortical Columns. ICANN (2014)
Jérémie Cabessa, Alessandro E. P. Villa
The Super-Turing Computational Power of Interactive Evolving Recurrent Neural Networks. ICANN (2013)
Jérémie Cabessa, Alessandro E. P. Villa
Recurrent Neural Networks - A Natural Model of Computation beyond the Turing Limits. IJCCI (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)
Vladyslav V. Shaposhnyk, Alessandro E. P. Villa
An Effect of Short and Long Reciprocal Projections on Evolution of Hierarchical Neural Networks. ICANN (1) (2012)
Jérémie Cabessa, Alessandro E. P. Villa
The expressive power of analog recurrent neural networks on infinite input streams. Theor. Comput. Sci. 436 (2012)
Yoshiyuki Asai, Alessandro E. P. Villa
Distributed Deterministic Temporal Information Propagated by Feedforward Neural Networks. ICANN (1) (2011)
Leonardo L. Gollo, Claudio R. Mirasso, Alessandro E. P. Villa
Dynamic control for synchronization of separated cortical areas through thalamic relay. NeuroImage 52 (3) (2010)
Jérémie Cabessa, Alessandro E. P. Villa
A Hierarchical Classification of First-Order Recurrent Neural Networks. LATA (2010)
Yoshiyuki Asai, Alessandro E. P. Villa
Transmission of Distributed Deterministic Temporal Information through a Diverging/Converging Three-Layers Neural Network. ICANN (1) (2010)
Vladyslav V. Shaposhnyk, Alessandro E. P. Villa, Tetiana Aksenova
Advances in structural modeling robust to outliers in explanatory and response variables. IJCNN (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)
Alessandro E. P. Villa, Javier Iglesias, Solange Ghernaouti-Helie
OpenAdap.net: a Community-Based Sharing System. IICS (2010)
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)
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)
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)
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)
Yoshiyuki Asai, Apratim Guha, Alessandro E. P. Villa
Deterministic neural dynamics transmitted through neural networks. Neural Networks 21 (6) (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)
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) (2008)
Olga K. Chibirova, Javier Iglesias, Vladyslav V. Shaposhnyk, Alessandro E. P. Villa
Dynamics of Firing Patterns in Evolvable Hierarchically Organized Neural Networks. ICES (2008)
Javier Iglesias, Jordi García-Ojalvo, Alessandro E. P. Villa
Effect of Feedback Strength in Coupled Spiking Neural Networks. ICANN (2) (2008)
Javier Iglesias, Alessandro E. P. Villa
Effect of stimulus-driven pruning on the detection of spatiotemporal patterns of activity in large neural networks. Biosyst. 89 (1-3) (2007)
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)
Alessandro E. P. Villa, Yoshiyuki Asai, José Pedro Segundo
Influence of the temporal distribution of electric pulses on transcallosal single unit responses. Biosyst. 89 (1-3) (2007)
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)
Tatyana S. Turova, Alessandro E. P. Villa
On a phase diagram for random neural networks with embedded spike timing dependent plasticity. Biosyst. 89 (1-3) (2007)
Yoshiyuki Asai, Takashi Yokoi, Alessandro E. P. Villa
Deterministic Nonlinear Spike Train Filtered by Spiking Neuron Model. ICANN (1) (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)
Alessandro E. P. Villa, Javier Iglesias
OpenAdap.net: Evolvable Information Processing Environment. WILF (2007)
Jan Eriksson, Alessandro E. P. Villa
Artificial Neural Networks simulation of learning of auditory equivalence classes for vowels. IJCNN (2006)
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)
Javier Iglesias, Alessandro E. P. Villa
Neuronal Cell Death and Synaptic Pruning Driven by Spike-Timing Dependent Plasticity. ICANN (1) (2006)
Yoshiyuki Asai, Takashi Yokoi, Alessandro E. P. Villa
Detection of a Dynamical System Attractor from Spike Train Analysis. ICANN (1) (2006)
Tatyana I. Aksenova, Vladimir Volkovich, Alessandro E. P. Villa
Robust Structural Modeling and Outlier Detection with GMDH-Type Polynomial Neural Networks. ICANN (2) (2005)
Yoshiyuki Asai, Tatyana I. Aksenova, Alessandro E. P. Villa
Unsupervised Recognition of Neuronal Discharge Waveforms for On-line Real-Time Operation. BVAI (2005)
Javier Iglesias, Jan Eriksson, Beatriz Pardo, Marco Tomassini, Alessandro E. P. Villa
Stimulus-Driven Unsupervised Synaptic Pruning in Large Neural Networks. BVAI (2005)
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)
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)
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)
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)
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)
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)
Tatyana I. Aksenova, Olga K. Chibirova, Alim-Louis Benabid, Alessandro E. P. Villa
Nonlinear Oscillation Models for Spike Separation. ISMDA (2002)
Igor V. Tetko, Vsevolod Yu. Tanchuk, Tamara N. Kasheva, Alessandro E. P. Villa
Estimation of Aqueous Solubility of Chemical Compounds Using E-State Indices. J. Chem. Inf. Comput. Sci. 41 (6) (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. J. Chem. Inf. Comput. Sci. 41 (2) (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. J. Chem. Inf. Comput. Sci. 41 (5) (2001)
Alessandro E. P. Villa, Igor V. Tetko, Javier Iglesias
Computer assisted neurophysiological analysis of cell assemblies activity. Neurocomputing (2001)
Igor V. Tetko, Alessandro E. P. Villa
Pattern grouping algorithm and de-convolution filtering of non-stationary correlated Poisson processes. Neurocomputing (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. J. Chem. Inf. Comput. Sci. 38 (4) (1998)
Luc Jeandenans, Michel Gautero, François Grize, Igor V. Tetko, Alessandro E. P. Villa
Computer assisted neurophysiology by a distributed JAVA program. HCC (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. J. Chem. Inf. Comput. Sci. 38 (4) (1998)
Igor V. Tetko, Alessandro E. P. Villa
An Efficient Partition of Training Data Set Improves Speed and Accuracy of Cascade-correlation Algorithm. Neural Process. Lett. 6 (1-2) (1997)
Igor V. Tetko, Alessandro E. P. Villa
Efficient Partition of Learning Data Sets for Neural Network Training. Neural Networks 10 (8) (1997)
Igor V. Tetko, Alessandro E. P. Villa
Fast combinatorial methods to estimate the probability of complex temporal patterns of spikes. Biol. Cybern. 76 (5) (1997)
Igor V. Tetko, Alessandro E. P. Villa
An Enhancement of Generalization Ability in Cascade Correlation Algorithm by Avoidance of Overfitting/Overtraining Problem. Neural Process. Lett. 6 (1-2) (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)
Alessandra Celletti, Alessandro E. P. Villa
Low-dimensional chaotic attractors in the rat brain. Biol. Cybern. 74 (5) (1996)
Igor V. Tetko, Alessandro E. P. Villa, David J. Livingstone
Neural Network Studies, 2. Variable Selection. J. Chem. Inf. Comput. Sci. 36 (4) (1996)
Alessandra Celletti, Alessandro E. P. Villa
Low-dimensional chaotic attractors in the rat brain. Biol. Cybern. 75 (6) (1996)