Alessandro E. P. Villa

发表

A Comparative Study of Pattern Detection Algorithm and Dynamical System Approach Using Simulated Spike Trains

Igor V. Tetko, Alessandro E. P. Villa, I. Tetko, 1997, ICANN.

Dynamical Systems and Accurate Temporal Information Transmission in Neural Networks

Alessandro E. P. Villa, Yoshiyuki Asai, Javier Iglesias, 2011 .

Neural Coding in the Neuroheuristic Perspective

Alessandro E. P. Villa, A. Villa, 2008 .

Learning and memory phenomena in a complex sensory environment: a neuroheuristic approach

Alessandro E. P. Villa, Pierre Dutoit, Jérémie Cabessa, 2014 .

Fast combinatorial methods to estimate the probability of complex temporal patterns of spikes

Igor V. Tetko, Alessandro E. P. Villa, I. Tetko, 1997, Biological Cybernetics.

Implementation of Biologically Plausible Spiking Neural Networks Models on the POEtic Tissue

Jan Eriksson, Juan Manuel Moreno, Alessandro E. P. Villa, 2005, ICES.

Artificial Neural Networks and Machine Learning - ICANN 2012 : 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I

Günther Palm, Péter Érdi, Francesco Masulli, 2012 .

Artificial Neural Networks and Machine Learning – ICANN 2017

Stefano Rovetta, Paul F. M. J. Verschure, Alessandro E. P. Villa, 2017, Lecture Notes in Computer Science.

Emergence of Preferred Firing Sequences in Large Spiking Neural Networks during Simulated Neuronal Development

Alessandro E. P. Villa, Javier Iglesias, A. Villa, 2008, Int. J. Neural Syst..

PERPLEXUS: Pervasive Computing Framework for Modeling Complex Virtually-Unbounded Systems

Andres Upegui, Andrzej Napieralski, Yann Thoma, 2007, Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007).

RPNN: Structural modeling robust to outliers in input and output variables

Alessandro E. P. Villa, Vladyslav Shaposhnyk, Tetyana I. Aksenova, 2009 .

Dynamics of Firing Patterns in Evolvable Hierarchically Organized Neural Networks

Alessandro E. P. Villa, Olga K. Chibirova, Javier Iglesias, 2008, ICES.

Transmission of Distributed Deterministic Temporal Information through a Diverging/Converging Three-Layers Neural Network

Yoshiyuki Asai, Alessandro E. P. Villa, Yoshiyuki Asai, 2010, ICANN.

Computer assisted neurophysiological analysis of cell assemblies activity

Igor V. Tetko, Alessandro E. P. Villa, Javier Iglesias, 2001, Neurocomputing.

Efficient Partition of Learning Data Sets for Neural Network Training

Igor V. Tetko, Alessandro E. P. Villa, I. Tetko, 1997, Neural Networks.

Advances in structural modeling robust to outliers in explanatory and response variables

Alessandro E. P. Villa, Tetiana Aksenova, Vladyslav V. Shaposhnyk, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

A pattern grouping algorithm for analysis of spatiotemporal patterns in neuronal spike trains. 1. Detection of repeated patterns

Igor V. Tetko, Alessandro E. P. Villa, I. Tetko, 2001, Journal of Neuroscience Methods.

22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II

Péter Érdi, Francesco Masulli, Włodzisław Duch, 2012 .

Effect of the Background Activity on the Reconstruction of Spike Train by Spike Pattern Detection

Yoshiyuki Asai, Alessandro E. P. Villa, A. Villa, 2008, ICANN.

Physical Mapping of Spiking Neural Networks Models on a Bio-inspired Scalable Architecture

Jan Eriksson, Juan Manuel Moreno, Alessandro E. P. Villa, 2006, ICANN.

Neural Network Studies. 3. Variable Selection in the Cascade-Correlation Learning Architecture

Igor V. Tetko, Alessandro E. P. Villa, David J. Livingstone, 1998, J. Chem. Inf. Comput. Sci..

Excitation/Inhibition Patterns in a System of Coupled Cortical Columns

Jordi García-Ojalvo, Alessandro E. P. Villa, Antonio J. Pons Rivero, 2014, ICANN.

Unsupervised Recognition of Neuronal Discharge Waveforms for On-line Real-Time Operation

Yoshiyuki Asai, Alessandro E. P. Villa, Tatyana I. Aksenova, 2005, BVAI.

Stimulus-Driven Unsupervised Synaptic Pruning in Large Neural Networks

Marco Tomassini, Jan Eriksson, Alessandro E. P. Villa, 2005, BVAI.

Internet Software for the Calculation of the Lipophilicity and Aqueous Solubility of Chemical Compounds

Igor V. Tetko, Alessandro E. P. Villa, Vsevolod Yu. Tanchuk, 2001, J. Chem. Inf. Comput. Sci..

Synchronization-based computation through networks of coupled oscillators

Javier M. Buldú, Jordi García-Ojalvo, Alessandro E. P. Villa, 2015, Front. Comput. Neurosci..

On Super-Turing Neural Computation

Alessandro E. P. Villa, Jérémie Cabessa, A. Villa, 2015 .

Application of a Pruning Algorithm To Optimize Artificial Neural Networks for Pharmaceutical Fingerprinting

Igor V. Tetko, William J. Welsh, Alessandro E. P. Villa, 1998, J. Chem. Inf. Comput. Sci..

Multimodal inter-spike intervals distributions in a jump-diffusion neuronal model

Laura Sacerdote, Alessandro E. P. Villa, Roberta Sirovich, 2006 .

A Framework for Simulation and Analysis of Dynamically Organized Distributed Neural Networks

Stephen Perrig, Alessandro E. P. Villa, Pierre Dutoit, 2009, ICANN.

Alessandro E. P. Villa, Alessandra Lintas, Sarat Chandra Vysyaraju, 2017, ICANN.

Artificial Neural Networks and Machine Learning – ICANN 2014

Günther Palm, Stefan Wermter, Cornelius Weber, 2014, Lecture Notes in Computer Science.

Artificial Neural Networks and Machine Learning - ICANN 2013 : 23rd International Conference on Artificial Neural Networks Sofia, Bulgaria, September 10-13, 2013. Proceedings

Günther Palm, Petia Koprinkova-Hristova, Valeri Mladenov, 2013 .

Expressive power of first-order recurrent neural networks determined by their attractor dynamics

Alessandro E. P. Villa, Jérémie Cabessa, A. Villa, 2016, J. Comput. Syst. Sci..

Nonlinear Dynamics Emerging in Large Scale Neural Networks with Ontogenetic and Epigenetic Processes

Alessandro E. P. Villa, Olga K. Chibirova, Javier Iglesias, 2007, ICANN.

Dynamics of Evolving Feed-Forward Neural Networks and Their Topological Invariants

Alessandro E. P. Villa, Paolo Masulli, A. Villa, 2016, ICANN.

An STDP Rule for the Improvement and Stabilization of the Attractor Dynamics of the Basal Ganglia-Thalamocortical Network

Alessandro E. P. Villa, Jérémie Cabessa, 2018, ICANN.

openAdap.Net: A Technical Perspective

Solange Ghernaouti-Hélie, Alessandro E. P. Villa, Javier Iglesias, 2006 .

Weighted Clique Analysis Reveals Hierarchical Neuronal Network Dynamics

Alessandro E. P. Villa, Paolo Masulli, A. Villa, 2017, ICANN.

LSTM and 1-D Convolutional Neural Networks for Predictive Monitoring of the Anaerobic Digestion Process

Alessandro E. P. Villa, Mark McCormick, A. Villa, 2019, ICANN.

An Efficient Partition of Training Data Set Improves Speed and Accuracy of Cascade-correlation Algorithm

Igor V. Tetko, Alessandro E. P. Villa, 2004, Neural Processing Letters.

Fuzzy Clustering for Exploratory Analysis of EEG Event-Related Potentials

Francesco Masulli, Stefano Rovetta, Alessandro E. P. Villa, 2020, IEEE Transactions on Fuzzy Systems.

The expressive power of analog recurrent neural networks on infinite input streams

Alessandro E. P. Villa, Jérémie Cabessa, 2012, Theor. Comput. Sci..

Functional Connectivity Driven by External Stimuli in a Network of Hierarchically Organized Neural Modules

Stephen Perrig, Alessandro E. P. Villa, Pierre Dutoit, 2010, ICANN.

Robust Structural Modeling and Outlier Detection with GMDH-Type Polynomial Neural Networks

Alessandro E. P. Villa, Tatyana I. Aksenova, Vladimir Volkovich, 2005, ICANN.

Changes in quadratic phase coupling of EEG signals during wake and sleep in two chronic insomnia patients, before and after cognitive behavioral therapy

Stephen Perrig, Alessandro E. P. Villa, Pierre Dutoit, 2009, WIRN.

Integration and transmission of distributed deterministic neural activity in feed-forward networks

Alessandro E. P. Villa, Yoshiyuki Asai, A. Villa, 2012, Brain Research.

Prediction of n-Octanol/Water Partition Coefficients from PHYSPROP Database Using Artificial Neural Networks and E-State Indices

Igor V. Tetko, Alessandro E. P. Villa, Vsevolod Yu. Tanchuk, 2001, J. Chem. Inf. Comput. Sci..

Artificial Neural Networks and Machine Learning – ICANN 2013

Günther Palm, Nikola Kasabov, Petia Koprinkova-Hristova, 2013, Lecture Notes in Computer Science.

Multilevel modeling platform and its application for modeling in neuroscience

Hiroaki Kitano, Alessandro E. P. Villa, Yoshiyuki Asai, 2014 .

Detection of deterministic dynamics in short discrete time series.

Igor V. Tetko, Alessandro E. P. Villa, Alessandra Celletti, 2000 .

Pattern grouping algorithm and de-convolution filtering of non-stationary correlated Poisson processes

Igor V. Tetko, Alessandro E. P. Villa, 2001, Neurocomputing.

Proceedings of the 23rd International Conference on Artificial Neural Networks and Machine Learning ICANN 2013 - Volume 8131

Günther Palm, Nikola Kasabov, Petia Koprinkova-Hristova, 2013, ICANN 2013.

OpenAdap.net: a Community-Based Sharing System

Solange Ghernaouti-Helie, Alessandro E. P. Villa, Javier Iglesias, 2010, IICS.

Distributed Deterministic Temporal Information Propagated by Feedforward Neural Networks

Alessandro E. P. Villa, Yoshiyuki Asai, A. Villa, 2011, ICANN.

Imperfect Decision Making and Risk Taking Are Affected by Personality

Alessandro E. P. Villa, Alessandra Lintas, Lorenz Goette, 2015, Decision Making.

Determination of chaotic attractors in short discrete time series

Igor V. Tetko, Alessandro E. P. Villa, Alessandra Celletti, 2001 .

Computer assisted neurophysiology by a distributed JAVA program

Igor V. Tetko, Luc Jeandenans, Michel Gautero, 1998, HCC.

Attractor Dynamics Driven by Interactivity in Boolean Recurrent Neural Networks

Alessandro E. P. Villa, Jérémie Cabessa, 2016, ICANN.

Minor Planet Observations [B33 Libbiano Observatory, Peccioli]

Alessandro E. P. Villa, P. Bacci, R. Emilio, 2007, MPC'10 2010.

Neural Network Studies, 2. Variable Selection

Igor V. Tetko, Alessandro E. P. Villa, David J. Livingstone, 1996, J. Chem. Inf. Comput. Sci..

On a phase diagram for random neural networks with embedded spike timing dependent plasticity

Alessandro E. P. Villa, Tatyana S. Turova, A. Villa, 2007, Biosyst..

The topology of the directed clique complex as a network invariant

Alessandro E. P. Villa, Paolo Masulli, A. Villa, 2015, SpringerPlus.

Initial topology in hierarchically organized evolvable neural network determines the emergence of synfire chains

Alessandro E. P. Villa, Paolo Masulli, 2019 .

Effect of Increasing Inhibitory Inputs on Information Processing Within a Small Network of Spiking Neurons

Laura Sacerdote, Alessandro E. P. Villa, Roberta Sirovich, 2007, IWANN.

POEtic Tissue: An Integrated Architecture for Bio-inspired Hardware

Dario Floreano, Gianluca Tempesti, Andrew M. Tyrrell, 2003, ICES.

Effect of Emotion and Personality on Deviation from Purely Rational Decision-Making

Alessandro E. P. Villa, Alessandra Lintas, Sarah K. Mesrobian, 2013, Decision Making and Imperfection.

Dynamic control for synchronization of separated cortical areas through thalamic relay

Leonardo L. Gollo, Claudio R. Mirasso, Alessandro E. P. Villa, 2010, NeuroImage.

A Bio-Inspired Agent Framework for Hardware Accelerated Distributed Pervasive Applications

Eduardo Sanchez, Michel Robert, Juan Manuel Moreno, 2009, 2009 NASA/ESA Conference on Adaptive Hardware and Systems.

Spatiotemporal activity patterns detected from single cell measurements from behaving animals

Igor V. Tetko, Alessandro E. P. Villa, I. Tetko, 1999, Other Conferences.

Graph analysis on simulate hierarchical complex networks dynamic structure

Alessandro E. P. Villa, Vladyslav Shaposhnyk, Vincent Buntinx, 2014 .

Artificial Neural Networks and Machine Learning – ICANN 2012

Günther Palm, Péter Érdi, Francesco Masulli, 2012, Lecture Notes in Computer Science.

Interactive Control of Computational Power in a Model of the Basal Ganglia-Thalamocortical Circuit by a Supervised Attractor-Based Learning Procedure

Alessandro E. P. Villa, Jérémie Cabessa, 2017, ICANN.

On-Line Real-Time Oriented Application for Neuronal Spike Sorting with Unsupervised Learning

Yoshiyuki Asai, Alessandro E. P. Villa, Tatyana I. Aksenova, 2005, ICANN.

Attractor-based complexity of a Boolean model of the basal ganglia-thalamocortical network

Alessandro E. P. Villa, Jérémie Cabessa, A. Villa, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Nonlinear Oscillation Models for Spike Separation

Alessandro E. P. Villa, Olga K. Chibirova, Tatyana I. Aksenova, 2002, ISMDA.

Artificial Neural Networks and Machine Learning – ICANN 2017

Stefano Rovetta, Alessandro E. P. Villa, Alessandra Lintas, 2017, Lecture Notes in Computer Science.

The Super-Turing Computational Power of Interactive Evolving Recurrent Neural Networks

Alessandro E. P. Villa, Jérémie Cabessa, 2013, ICANN.

Extending existing applications functionality through OpenAdap.net

Alessandro E. P. Villa, Javier Iglesias, 2010, 2010 IEEE International Technology Management Conference (ICE).

An Effect of Short and Long Reciprocal Projections on Evolution of Hierarchical Neural Networks

Alessandro E. P. Villa, Vladyslav V. Shaposhnyk, A. Villa, 2012, ICANN.

Recurrent Neural Networks and Super-Turing Interactive Computation

Alessandro E. P. Villa, Jérémie Cabessa, A. Villa, 2015 .

A Hierarchical Classification of First-Order Recurrent Neural Networks

Alessandro E. P. Villa, Jérémie Cabessa, 2010, LATA.

OpenAdap.net: Evolvable Information Processing Environment

Alessandro E. P. Villa, Javier Iglesias, 2007, WILF.

Reciprocal projections in hierarchically organized evolvable neural circuits affect EEG-like signals

Alessandro E. P. Villa, Vladyslav Shaposhnyk, A. Villa, 2012, Brain Research.

JubiTool: Unified design flow for the Perplexus SIMD hardware accelerator

Michel Robert, Jordi Madrenas, Juan Manuel Moreno, 2009, 2009 IEEE Congress on Evolutionary Computation.

Computational capabilities of recurrent neural networks based on their attractor dynamics

Alessandro E. P. Villa, Jérémie Cabessa, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

An Attractor-Based Complexity Measurement for Boolean Recurrent Neural Networks

Alessandro E. P. Villa, Jérémie Cabessa, A. Villa, 2014, PloS one.

Mesoscopic Segregation of Excitation and Inhibition in a Brain Network Model

Jordi García-Ojalvo, Alessandro E. P. Villa, Antonio J. Pons Rivero, 2015, PLoS Comput. Biol..

Effect of Feedback Strength in Coupled Spiking Neural Networks

Jordi García-Ojalvo, Alessandro E. P. Villa, Javier Iglesias, 2008, ICANN.

A pattern grouping algorithm for analysis of spatiotemporal patterns in neuronal spike trains. 2. Application to simultaneous single unit recordings

Igor V. Tetko, Alessandro E. P. Villa, I. Tetko, 2001, Journal of Neuroscience Methods.

Effect of stimulus-driven pruning on the detection of spatiotemporal patterns of activity in large neural networks

Alessandro E. P. Villa, Javier Iglesias, A. Villa, 2007, Biosyst..

Deterministic Nonlinear Spike Train Filtered by Spiking Neuron Model

Yoshiyuki Asai, Takashi Yokoi, Alessandro E. P. Villa, 2007, ICANN.

Low-dimensional chaotic attractors in the rat brain

Alessandro E. P. Villa, Alessandra Celletti, 1996, Biological Cybernetics.

Emergence of Oriented Cell Assemblies Associated with Spike-Timing-Dependent Plasticity

Marco Tomassini, Jan Eriksson, Alessandro E. P. Villa, 2005, ICANN.

Granger Causality to Reveal Functional Connectivity in the Mouse Basal Ganglia-Thalamocortical Circuit

Yoshiyuki Asai, Takeshi Abe, Alessandro E. P. Villa, 2018, ICANN.

Hardware Optimization of a Novel Spiking Neuron Model for the POEtic Tissue

Jan Eriksson, Juan Manuel Moreno, Oriol Torres, 2009, IWANN.

Artificial Neural Networks simulation of learning of auditory equivalence classes for vowels

Jan Eriksson, Alessandro E. P. Villa, A. Villa, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Unsupervised Analysis of Event-Related Potentials (ERPs) During an Emotional Go/NoGo Task

Francesco Masulli, Stefano Rovetta, Alessandro E. P. Villa, 2016, WILF.

Neuronal Cell Death and Synaptic Pruning Driven by Spike-Timing Dependent Plasticity

Alessandro E. P. Villa, Javier Iglesias, A. Villa, 2006, ICANN.

Spiking Neural Networks for Reconfigurable POEtic Tissue

Jan Eriksson, David M. Halliday, Juan Manuel Moreno, 2003, ICES.

Recurrent Neural Networks - A Natural Model of Computation beyond the Turing Limits

Alessandro E. P. Villa, Jérémie Cabessa, A. Villa, 2012, IJCCI.

Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II

Günther Palm, Péter Érdi, Francesco Masulli, 2012 .

Low-dimensional chaotic attractors in the rat brain

Alessandro E. P. Villa, Alessandra Celletti, A. Villa, 1996, Biological Cybernetics.

Variable Selection in the Cascade-Correlation Learning Architecture

Igor V. Tetko, A. I. Luik, David J. Livingstone, 2000 .

Detection of a Dynamical System Attractor from Spike Train Analysis

Yoshiyuki Asai, Takashi Yokoi, Alessandro E. P. Villa, 2006, ICANN.

An Enhancement of Generalization Ability in Cascade Correlation Algorithm by Avoidance of Overfitting/Overtraining Problem

Igor V. Tetko, Alessandro E. P. Villa, 2004, Neural Processing Letters.

The POEtic Electronic Tissue and Its Role in the Emulation of Large-Scale Biologically Inspired Spiking Neural Networks Models

Eduardo Sanchez, Yann Thoma, Alessandro E. P. Villa, 2006, Complexus.

Spike Transmission on Diverging/Converging Neural Network and Its Implementation on a Multilevel Modeling Platform

Yoshiyuki Asai, Alessandro E. P. Villa, A. Villa, 2012, ICANN.

Neural Dynamics Associated to Preferred Firing Sequences

Alessandro E. P. Villa, Jérémie Cabessa, Alessandra Lintas, 2015 .

Estimation of Aqueous Solubility of Chemical Compounds Using E-State Indices

Igor V. Tetko, Alessandro E. P. Villa, Vsevolod Yu. Tanchuk, 2001, J. Chem. Inf. Comput. Sci..

Deterministic neural dynamics transmitted through neural networks

Yoshiyuki Asai, Apratim Guha, Alessandro E. P. Villa, 2008, Neural Networks.

Artificial Neural Networks and Machine Learning – ICANN 2016

Alessandro E. P. Villa, Antonio J. Pons Rivero, Paolo Masulli, 2016, Lecture Notes in Computer Science.

ERFo: An Algorithm for Extracting a Range of Optimal Frequencies for Filtering Electrophysiological Recordings

Alessandro E. P. Villa, Agnès Gruart, José M. Delgado-García, 2018 .

Correlation dimension for paired discrete time series

Alessandro E. P. Villa, Alessandra Celletti, A. Villa, 1997 .

Dopamine deficiency increases synchronized activity in the rat subthalamic nucleus

Alessandro E. P. Villa, Alessandra Lintas, A. Villa, 2012, Brain Research.

Dynamic transitions in global network activity influenced by the balance of excitation and inhibition

Alessandro E. P. Villa, Sean L. Hill, A. Villa, 1997 .

Evidence for spatiotemporal firing patterns within the auditory thalamus of the cat

Alessandro E. P. Villa, Moshe Abeles, M. Abeles, 1990, Brain Research.

Neuroheuristics of Decision Making: From Neuronal Activity to EEG

Alessandro E. P. Villa, Alessandra Lintas, Pascal Missonnier, 2012 .

Recurrent spatiotemporal firing patterns in large spiking neural networks with ontogenetic and epigenetic processes

Alessandro E. P. Villa, Javier Iglesias, A. Villa, 2010, Journal of Physiology-Paris.

Nerve growth factor modulates information processing in the auditory thalamus

Alessandro E. P. Villa, A. Villa, G. Vantini, 1996, Brain Research Bulletin.

Detection of Dynamical Systems from Noisy Multivariate Time Series

Yoshiyuki Asai, Alessandro E. P. Villa, A. Villa, 2007 .

Determination of chaotic attractors in the rat brain

Alessandro E. P. Villa, Alessandra Celletti, A. Villa, 1996 .

Ketamine Modulation of the Temporal Pattern of Discharges and Spike Train Interactions in the Rat Substantia Nigra Pars Reticulata

Alessandro E. P. Villa, A. Villa, Victoria M. Bajo Lorenzana, 1997, Brain Research Bulletin.

317 Early communication between stimulus evaluation and response systems in a novel Go/Nogo conflict paradigm in rats

Alessandro E. P. Villa, Brian I. Hyland, Christian Eriksson, 1998 .

Deterministic Behaviour of Short Time Series

Igor V. Tetko, Alessandro E. P. Villa, Alessandra Celletti, 1999 .

Learning of auditory equivalence classes for vowels by rats

Alessandro E. P. Villa, A. Villa, J. Eriksson, 2006, Behavioural Processes.

Physiological differentiation within the auditory part of the thalamic reticular nucleus of the cat

Alessandro E. P. Villa, A. Villa, 1990, Brain Research Reviews.