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) |