2008 |
37 | EE | 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 |
36 | EE | Javier Iglesias,
Jordi García-Ojalvo,
Alessandro E. P. Villa:
Effect of Feedback Strength in Coupled Spiking Neural Networks.
ICANN (2) 2008: 646-654 |
35 | EE | 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 |
34 | EE | 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) |
33 | EE | Yoshiyuki Asai,
Apratim Guha,
Alessandro E. P. Villa:
Deterministic neural dynamics transmitted through neural networks.
Neural Networks 21(6): 799-809 (2008) |
2007 |
32 | EE | 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 |
31 | EE | 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 |
30 | EE | Yoshiyuki Asai,
Takashi Yokoi,
Alessandro E. P. Villa:
Deterministic Nonlinear Spike Train Filtered by Spiking Neuron Model.
ICANN (1) 2007: 924-933 |
29 | EE | 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 |
28 | EE | Alessandro E. P. Villa,
Javier Iglesias:
OpenAdap.net: Evolvable Information Processing Environment.
WILF 2007: 227-236 |
2006 |
27 | EE | Yoshiyuki Asai,
Takashi Yokoi,
Alessandro E. P. Villa:
Detection of a Dynamical System Attractor from Spike Train Analysis.
ICANN (1) 2006: 623-631 |
26 | EE | 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 |
25 | EE | Javier Iglesias,
Alessandro E. P. Villa:
Neuronal Cell Death and Synaptic Pruning Driven by Spike-Timing Dependent Plasticity.
ICANN (1) 2006: 953-962 |
24 | EE | Jan Eriksson,
Alessandro E. P. Villa:
Artificial Neural Networks simulation of learning of auditory equivalence classes for vowels.
IJCNN 2006: 526-533 |
2005 |
23 | EE | 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 |
22 | EE | 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 |
21 | EE | 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 |
20 | EE | 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 |
19 | EE | 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 |
18 | EE | 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 |
17 | EE | Andrew M. Tyrrell,
Eduardo Sanchez,
Dario Floreano,
Gianluca Tempesti,
Daniel Mange,
Juan Manuel Moreno,
Jay Rosenberg,
Alessandro E. P. Villa:
POEtic Tissue: An Integrated Architecture for Bio-inspired Hardware.
ICES 2003: 129-140 |
16 | EE | Jan Eriksson,
Oriol Torres,
Andrew Mitchell,
Gayle Tucker,
Ken Lindsay,
David M. Halliday,
Jay Rosenberg,
Juan Manuel Moreno,
Alessandro E. P. Villa:
Spiking Neural Networks for Reconfigurable POEtic Tissue.
ICES 2003: 165-173 |
15 | EE | 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 |
14 | EE | Tatyana I. Aksenova,
Olga K. Chibirova,
Alim-Louis Benabid,
Alessandro E. P. Villa:
Nonlinear Oscillation Models for Spike Separation.
ISMDA 2002: 61-70 |
2001 |
13 | EE | 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) |
12 | EE | 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) |
11 | EE | 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) |
10 | EE | Alessandro E. P. Villa,
Igor V. Tetko,
Javier Iglesias:
Computer assisted neurophysiological analysis of cell assemblies activity.
Neurocomputing 38-40: 1025-1030 (2001) |
9 | EE | 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) |
1998 |
8 | | 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 |
7 | EE | 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) |
6 | EE | 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) |
1997 |
5 | | 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 |
4 | EE | Igor V. Tetko,
Alessandro E. P. Villa:
Efficient Partition of Learning Data Sets for Neural Network Training.
Neural Networks 10(8): 1361-1374 (1997) |
3 | | 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) |
2 | | 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) |
1996 |
1 | EE | 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) |