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ESANN
2003
13 years 8 months ago
An event-driven framework for the simulation of networks of spiking neurons
We propose an event-driven framework dedicated to the design and the simulation of networks of spiking neurons. It consists stract model of spiking neurons and an efficient event-d...
Olivier Rochel, Dominique Martinez
FCCM
2009
IEEE
133views VLSI» more  FCCM 2009»
14 years 1 months ago
Exploiting Partially Reconfigurable FPGAs for Situation-Based Reconfiguration in Wireless Sensor Networks
—Wireless sensor networks (WSNs) are typically composed of very small, battery-operated devices (sensor nodes) containing simple microprocessors with few computational resources....
Rafael Garcia, Ann Gordon-Ross, Alan D. George
PADS
2005
ACM
14 years 9 days ago
Parallel Event-Driven Neural Network Simulations Using the Hodgkin-Huxley Neuron Model
Neural systems are composed of a large number of highly-connected neurons and are widely simulated within the neurological community. In this paper, we examine the application of ...
Collin J. Lobb, Zenas Chao, Richard M. Fujimoto, S...
GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
14 years 3 days ago
Training Neural Networks with GA Hybrid Algorithms
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Enrique Alba, J. Francisco Chicano
ICPR
2000
IEEE
13 years 11 months ago
Feature Learning for Recognition with Bayesian Networks
Many realistic visual recognition tasks are “open” in the sense that the number and nature of the categories to be learned are not initially known, and there is no closed set ...
Justus H. Piater, Roderic A. Grupen