Alessandro E. P. Villa

Orcid: 0000-0002-4684-0027

According to our database1, Alessandro E. P. Villa authored at least 80 papers between 1996 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
On the semantics of ecoacoustic codes.
Biosyst., October, 2023

Editorial: Selected papers from the 14th international neural coding workshop, Seattle, Washington.
Biosyst., January, 2023

2020
Fuzzy Clustering for Exploratory Analysis of EEG Event-Related Potentials.
IEEE Trans. Fuzzy Syst., 2020

2019
A Memory-Based STDP Rule for Stable Attractor Dynamics in Boolean Recurrent Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

LSTM and 1-D Convolutional Neural Networks for Predictive Monitoring of the Anaerobic Digestion Process.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

2018
Granger Causality to Reveal Functional Connectivity in the Mouse Basal Ganglia-Thalamocortical Circuit.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

An STDP Rule for the Improvement and Stabilization of the Attractor Dynamics of the Basal Ganglia-Thalamocortical Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017
Weighted Clique Analysis Reveals Hierarchical Neuronal Network Dynamics.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Event Related Potentials Reveal Fairness in Willingness-to-share.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Interactive Control of Computational Power in a Model of the Basal Ganglia-Thalamocortical Circuit by a Supervised Attractor-Based Learning Procedure.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2016
Expressive power of first-order recurrent neural networks determined by their attractor dynamics.
J. Comput. Syst. Sci., 2016

Unsupervised Analysis of Event-Related Potentials (ERPs) During an Emotional Go/NoGo Task.
Proceedings of the Fuzzy Logic and Soft Computing Applications, 2016

Attractor-based complexity of a Boolean model of the basal ganglia-thalamocortical network.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Dynamics of Evolving Feed-Forward Neural Networks and Their Topological Invariants.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Attractor Dynamics Driven by Interactivity in Boolean Recurrent Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015
Imperfect Decision Making and Risk Taking Are Affected by Personality.
Proceedings of the Decision Making: Uncertainty, Imperfection, 2015

Mesoscopic Segregation of Excitation and Inhibition in a Brain Network Model.
PLoS Comput. Biol., 2015

Synchronization-based computation through networks of coupled oscillators.
Frontiers Comput. Neurosci., 2015

Computational capabilities of recurrent neural networks based on their attractor dynamics.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Excitation/Inhibition Patterns in a System of Coupled Cortical Columns.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

Interactive Evolving Recurrent Neural Networks Are Super-Turing Universal.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013
Effect of Emotion and Personality on Deviation from Purely Rational Decision-Making.
Proceedings of the Decision Making and Imperfection, 2013

The Super-Turing Computational Power of Interactive Evolving Recurrent Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012
The expressive power of analog recurrent neural networks on infinite input streams.
Theor. Comput. Sci., 2012

Recurrent Neural Networks - A Natural Model of Computation beyond the Turing Limits.
Proceedings of the IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5, 2012

An Effect of Short and Long Reciprocal Projections on Evolution of Hierarchical Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Spike Transmission on Diverging/Converging Neural Network and Its Implementation on a Multilevel Modeling Platform.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
Distributed Deterministic Temporal Information Propagated by Feedforward Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010
Dynamic control for synchronization of separated cortical areas through thalamic relay.
NeuroImage, 2010

A Hierarchical Classification of First-Order Recurrent Neural Networks.
Proceedings of the Language and Automata Theory and Applications, 2010

Advances in structural modeling robust to outliers in explanatory and response variables.
Proceedings of the International Joint Conference on Neural Networks, 2010

OpenAdap.net: a Community-Based Sharing System.
Proceedings of the 10th International Conference on Innovative Internet Community Services (I<sup>2</sup>CS), 2010

Functional Connectivity Driven by External Stimuli in a Network of Hierarchically Organized Neural Modules.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Transmission of Distributed Deterministic Temporal Information through a Diverging/Converging Three-Layers Neural Network.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009
Changes in quadratic phase coupling of EEG signals during wake and sleep in two chronic insomnia patients, before and after cognitive behavioral therapy.
Proceedings of the Neural Nets WIRN09, 2009

A Framework for Simulation and Analysis of Dynamically Organized Distributed Neural Networks.
Proceedings of the Artificial Neural Networks, 2009

JubiTool: Unified design flow for the Perplexus SIMD hardware accelerator.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

A Bio-Inspired Agent Framework for Hardware Accelerated Distributed Pervasive Applications.
Proceedings of the NASA/ESA Conference on Adaptive Hardware and Systems, 2009

2008
Deterministic neural dynamics transmitted through neural networks.
Neural Networks, 2008

Emergence of Preferred Firing Sequences in Large Spiking Neural Networks during Simulated Neuronal Development.
Int. J. Neural Syst., 2008

Dynamics of Firing Patterns in Evolvable Hierarchically Organized Neural Networks.
Proceedings of the Evolvable Systems: From Biology to Hardware, 2008

Effect of Feedback Strength in Coupled Spiking Neural Networks.
Proceedings of the Artificial Neural Networks, 2008

Effect of the Background Activity on the Reconstruction of Spike Train by Spike Pattern Detection.
Proceedings of the Artificial Neural Networks, 2008

2007
Influence of the temporal distribution of electric pulses on transcallosal single unit responses.
Biosyst., 2007

On a phase diagram for random neural networks with embedded spike timing dependent plasticity.
Biosyst., 2007

Effect of stimulus-driven pruning on the detection of spatiotemporal patterns of activity in large neural networks.
Biosyst., 2007

OpenAdap.net: Evolvable Information Processing Environment.
Proceedings of the Applications of Fuzzy Sets Theory, 2007

Effect of Increasing Inhibitory Inputs on Information Processing Within a Small Network of Spiking Neurons.
Proceedings of the Computational and Ambient Intelligence, 2007

Nonlinear Dynamics Emerging in Large Scale Neural Networks with Ontogenetic and Epigenetic Processes.
Proceedings of the Artificial Neural Networks, 2007

Deterministic Nonlinear Spike Train Filtered by Spiking Neuron Model.
Proceedings of the Artificial Neural Networks, 2007

PERPLEXUS: Pervasive Computing Framework for Modeling Complex Virtually-Unbounded Systems.
Proceedings of the Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007), 2007

2006
Artificial Neural Networks simulation of learning of auditory equivalence classes for vowels.
Proceedings of the International Joint Conference on Neural Networks, 2006

Physical Mapping of Spiking Neural Networks Models on a Bio-inspired Scalable Architecture.
Proceedings of the Artificial Neural Networks, 2006

Neuronal Cell Death and Synaptic Pruning Driven by Spike-Timing Dependent Plasticity.
Proceedings of the Artificial Neural Networks, 2006

Detection of a Dynamical System Attractor from Spike Train Analysis.
Proceedings of the Artificial Neural Networks, 2006

2005
Implementation of Biologically Plausible Spiking Neural Networks Models on the POEtic Tissue.
Proceedings of the Evolvable Systems: From Biology to Hardware, 2005

Emergence of Oriented Cell Assemblies Associated with Spike-Timing-Dependent Plasticity.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

On-Line Real-Time Oriented Application for Neuronal Spike Sorting with Unsupervised Learning.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

Robust Structural Modeling and Outlier Detection with GMDH-Type Polynomial Neural Networks.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Stimulus-Driven Unsupervised Synaptic Pruning in Large Neural Networks.
Proceedings of the Brain, 2005

Unsupervised Recognition of Neuronal Discharge Waveforms for On-line Real-Time Operation.
Proceedings of the Brain, 2005

2003
Hardware Optimization of a Novel Spiking Neuron Model for the POEtic Tissue.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

POEtic Tissue: An Integrated Architecture for Bio-inspired Hardware.
Proceedings of the Evolvable Systems: From Biology to Hardware, 2003

Spiking Neural Networks for Reconfigurable POEtic Tissue.
Proceedings of the Evolvable Systems: From Biology to Hardware, 2003

2002
Nonlinear Oscillation Models for Spike Separation.
Proceedings of the Medical Data Analysis, Third International Symposium, 2002

2001
Prediction of n-Octanol/Water Partition Coefficients from PHYSPROP Database Using Artificial Neural Networks and E-State Indices.
J. Chem. Inf. Comput. Sci., 2001

Estimation of Aqueous Solubility of Chemical Compounds Using E-State Indices.
J. Chem. Inf. Comput. Sci., 2001

Internet Software for the Calculation of the Lipophilicity and Aqueous Solubility of Chemical Compounds.
J. Chem. Inf. Comput. Sci., 2001

Computer assisted neurophysiological analysis of cell assemblies activity.
Neurocomputing, 2001

Pattern grouping algorithm and de-convolution filtering of non-stationary correlated Poisson processes.
Neurocomputing, 2001

1998
Application of a Pruning Algorithm To Optimize Artificial Neural Networks for Pharmaceutical Fingerprinting.
J. Chem. Inf. Comput. Sci., 1998

Neural Network Studies. 3. Variable Selection in the Cascade-Correlation Learning Architecture.
J. Chem. Inf. Comput. Sci., 1998

Computer assisted neurophysiology by a distributed JAVA program.
Proceedings of the Computers and Networks in the Age of Globalization, 1998

1997
An Efficient Partition of Training Data Set Improves Speed and Accuracy of Cascade-correlation Algorithm.
Neural Process. Lett., 1997

An Enhancement of Generalization Ability in Cascade Correlation Algorithm by Avoidance of Overfitting/Overtraining Problem.
Neural Process. Lett., 1997

Efficient Partition of Learning Data Sets for Neural Network Training.
Neural Networks, 1997

Fast combinatorial methods to estimate the probability of complex temporal patterns of spikes.
Biol. Cybern., 1997

A Comparative Study of Pattern Detection Algorithm and Dynamical System Approach Using Simulated Spike Trains.
Proceedings of the Artificial Neural Networks, 1997

1996
Neural Network Studies, 2. Variable Selection.
J. Chem. Inf. Comput. Sci., 1996

Low-dimensional chaotic attractors in the rat brain.
Biol. Cybern., 1996


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