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Alessandro E. P. Villa
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Journal Articles
- 2023
- [j27]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: 104818 (2023) - [j26]Almo Farina
, Alessandro E. P. Villa
:
On the semantics of ecoacoustic codes. Biosyst. 232: 105002 (2023) - 2020
- [j25]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): 28-38 (2020) - 2016
- [j24]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): 1232-1250 (2016) - 2015
- [j23]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: 97 (2015) - [j22]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) - 2012
- [j21]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) - 2010
- [j20]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) - 2008
- [j19]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) - [j18]Yoshiyuki Asai, Apratim Guha, Alessandro E. P. Villa
:
Deterministic neural dynamics transmitted through neural networks. Neural Networks 21(6): 799-809 (2008) - 2007
- [j17]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): 143-153 (2007) - [j16]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): 280-286 (2007) - [j15]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): 287-293 (2007) - 2001
- [j14]Alessandro E. P. Villa
, Igor V. Tetko
, Javier Iglesias:
Computer assisted neurophysiological analysis of cell assemblies activity. Neurocomputing 38-40: 1025-1030 (2001) - [j13]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) - [j12]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): 246-252 (2001) - [j11]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): 1407-1421 (2001) - [j10]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): 1488-1493 (2001) - 1998
- [j9]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): 651-659 (1998) - [j8]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): 660-668 (1998) - 1997
- [j7]Igor V. Tetko
, Alessandro E. P. Villa
:
Fast combinatorial methods to estimate the probability of complex temporal patterns of spikes. Biol. Cybern. 76(5): 397-408 (1997) - [j6]Igor V. Tetko
, Alessandro E. P. Villa
:
Efficient Partition of Learning Data Sets for Neural Network Training. Neural Networks 10(8): 1361-1374 (1997) - [j5]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): 43-50 (1997) - [j4]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): 51-59 (1997) - 1996
- [j3]Alessandra Celletti, Alessandro E. P. Villa
:
Low-dimensional chaotic attractors in the rat brain. Biol. Cybern. 74(5): 387-393 (1996) - [j2]Alessandra Celletti, Alessandro E. P. Villa:
Low-dimensional chaotic attractors in the rat brain. Biol. Cybern. 75(6): 509 (1996) - [j1]Igor V. Tetko
, Alessandro E. P. Villa
, David J. Livingstone:
Neural Network Studies, 2. Variable Selection. J. Chem. Inf. Comput. Sci. 36(4): 794-803 (1996)
Conference and Workshop Papers
- 2019
- [c52]Mark McCormick
, Alessandro E. P. Villa
:
LSTM and 1-D Convolutional Neural Networks for Predictive Monitoring of the Anaerobic Digestion Process. ICANN (Workshop) 2019: 725-736 - [c51]Jérémie Cabessa, Alessandro E. P. Villa
:
A Memory-Based STDP Rule for Stable Attractor Dynamics in Boolean Recurrent Neural Networks. IJCNN 2019: 1-8 - 2018
- [c50]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: 393-402 - [c49]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: 693-702 - 2017
- [c48]Alessandra Lintas
, Sarat Chandra Vysyaraju, Manon Jaquerod, Alessandro E. P. Villa
:
Event Related Potentials Reveal Fairness in Willingness-to-share. ICANN (1) 2017: 191-198 - [c47]Paolo Masulli
, Alessandro E. P. Villa
:
Weighted Clique Analysis Reveals Hierarchical Neuronal Network Dynamics. ICANN (1) 2017: 317-325 - [c46]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: 334-342 - 2016
- [c45]Paolo Masulli
, Alessandro E. P. Villa
:
Dynamics of Evolving Feed-Forward Neural Networks and Their Topological Invariants. ICANN (1) 2016: 99-106 - [c44]Jérémie Cabessa
, Alessandro E. P. Villa
:
Attractor Dynamics Driven by Interactivity in Boolean Recurrent Neural Networks. ICANN (1) 2016: 115-122 - [c43]Jérémie Cabessa
, Alessandro E. P. Villa
:
Attractor-based complexity of a Boolean model of the basal ganglia-thalamocortical network. IJCNN 2016: 4664-4671 - [c42]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: 151-161 - 2015
- [c41]Jérémie Cabessa
, Alessandro E. P. Villa
:
Computational capabilities of recurrent neural networks based on their attractor dynamics. IJCNN 2015: 1-8 - 2014
- [c40]Jérémie Cabessa
, Alessandro E. P. Villa
:
Interactive Evolving Recurrent Neural Networks Are Super-Turing Universal. ICANN 2014: 57-64 - [c39]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: 651-658 - 2013
- [c38]Jérémie Cabessa
, Alessandro E. P. Villa
:
The Super-Turing Computational Power of Interactive Evolving Recurrent Neural Networks. ICANN 2013: 58-65 - 2012
- [c37]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 - [c36]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 - [c35]Jérémie Cabessa, Alessandro E. P. Villa:
Recurrent Neural Networks - A Natural Model of Computation beyond the Turing Limits. IJCCI 2012: 594-599 - 2011
- [c34]Yoshiyuki Asai, Alessandro E. P. Villa
:
Distributed Deterministic Temporal Information Propagated by Feedforward Neural Networks. ICANN (1) 2011: 258-265 - 2010
- [c33]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 - [c32]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 - [c31]Alessandro E. P. Villa, Javier Iglesias, Solange Ghernaouti-Helie:
OpenAdap.net: a Community-Based Sharing System. IICS 2010: 321-328 - [c30]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 - [c29]Jérémie Cabessa
, Alessandro E. P. Villa
:
A Hierarchical Classification of First-Order Recurrent Neural Networks. LATA 2010: 142-153 - 2009
- [c28]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 - [c27]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 - [c26]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 - [c25]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 - 2008
- [c24]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 - [c23]Javier Iglesias, Jordi García-Ojalvo
, Alessandro E. P. Villa
:
Effect of Feedback Strength in Coupled Spiking Neural Networks. ICANN (2) 2008: 646-654 - [c22]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 - 2007
- [c21]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 - [c20]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 - [c19]Yoshiyuki Asai, Takashi Yokoi, Alessandro E. P. Villa
:
Deterministic Nonlinear Spike Train Filtered by Spiking Neuron Model. ICANN (1) 2007: 924-933 - [c18]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 - [c17]Alessandro E. P. Villa
, Javier Iglesias:
OpenAdap.net: Evolvable Information Processing Environment. WILF 2007: 227-236 - 2006
- [c16]Yoshiyuki Asai, Takashi Yokoi, Alessandro E. P. Villa
:
Detection of a Dynamical System Attractor from Spike Train Analysis. ICANN (1) 2006: 623-631 - [c15]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 - [c14]Javier Iglesias, Alessandro E. P. Villa
:
Neuronal Cell Death and Synaptic Pruning Driven by Spike-Timing Dependent Plasticity. ICANN (1) 2006: 953-962 - [c13]Jan Eriksson, Alessandro E. P. Villa:
Artificial Neural Networks simulation of learning of auditory equivalence classes for vowels. IJCNN 2006: 526-533 - 2005
- [c12]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 - [c11]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 - [c10]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 - [c9]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 - [c8]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 - [c7]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 - 2003
- [c6]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 - [c5]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 - [c4]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 - 2002
- [c3]Tatyana I. Aksenova, Olga K. Chibirova, Alim-Louis Benabid, Alessandro E. P. Villa
:
Nonlinear Oscillation Models for Spike Separation. ISMDA 2002: 61-70 - 1998
- [c2]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 - 1997
- [c1]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
Parts in Books or Collections
- 2015
- [p2]Sarah K. Mesrobian, Michel Bader, Lorenz Götte, Alessandro E. P. Villa
, Alessandra Lintas
:
Imperfect Decision Making and Risk Taking Are Affected by Personality. Decision Making 2015: 145-184 - 2013
- [p1]Marina Fiori, Alessandra Lintas
, Sarah K. Mesrobian, Alessandro E. P. Villa
:
Effect of Emotion and Personality on Deviation from Purely Rational Decision-Making. Decision Making and Imperfection 2013: 129-161
Editorship
- 2017
- [e8]Alessandra Lintas
, Stefano Rovetta, Paul F. M. J. Verschure, Alessandro E. P. Villa
:
Artificial Neural Networks and Machine Learning - ICANN 2017 - 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10613, Springer 2017, ISBN 978-3-319-68599-1 [contents] - [e7]Alessandra Lintas
, Stefano Rovetta
, Paul F. M. J. Verschure, Alessandro E. P. Villa
:
Artificial Neural Networks and Machine Learning - ICANN 2017 - 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II. Lecture Notes in Computer Science 10614, Springer 2017, ISBN 978-3-319-68611-0 [contents] - 2016
- [e6]Alessandro E. P. Villa
, Paolo Masulli
, Antonio Javier Pons Rivero:
Artificial Neural Networks and Machine Learning - ICANN 2016 - 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9886, Springer 2016, ISBN 978-3-319-44777-3 [contents] - [e5]Alessandro E. P. Villa
, Paolo Masulli
, Antonio Javier Pons Rivero:
Artificial Neural Networks and Machine Learning - ICANN 2016 - 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9887, Springer 2016, ISBN 978-3-319-44780-3 [contents] - 2014
- [e4]Stefan Wermter, Cornelius Weber, Wlodzislaw Duch, Timo Honkela, Petia D. Koprinkova-Hristova
, Sven Magg, Günther Palm, Alessandro E. P. Villa
:
Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings. Lecture Notes in Computer Science 8681, Springer 2014, ISBN 978-3-319-11178-0 [contents] - 2013
- [e3]Valeri M. Mladenov, Petia D. Koprinkova-Hristova
, Günther Palm, Alessandro E. P. Villa
, Bruno Appollini, Nikola K. Kasabov:
Artificial Neural Networks and Machine Learning - ICANN 2013 - 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013. Proceedings. Lecture Notes in Computer Science 8131, Springer 2013, ISBN 978-3-642-40727-7 [contents] - 2012
- [e2]Alessandro E. P. Villa
, Wlodzislaw Duch, Péter Érdi, Francesco Masulli, Günther Palm:
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 [contents] - [e1]Alessandro E. P. Villa
, Wlodzislaw Duch, Péter Érdi, Francesco Masulli, Günther Palm:
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 [contents]
Coauthor Index
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