189 search results - page 15 / 38 » A Solid-State Neuron for Spiking Neural Network Implementati... |
SYNASC
2005
IEEE
15 years 5 months ago
2005
IEEE
The paper presents a new reinforcement learning mechanism for spiking neural networks. The algorithm is derived for networks of stochastic integrate-and-fire neurons, but it can ...
NECO
2006
14 years 11 months ago
2006
We study in this paper the effect of an unique initial stimulation on random recurrent networks of leaky integrate and fire neurons. Indeed given a stochastic connectivity this so...
100
click to vote
NIPS
2004
15 years 1 months ago
2004
There is growing evidence from psychophysical and neurophysiological studies that the brain utilizes Bayesian principles for inference and decision making. An important open quest...
IJCNN
2006
IEEE
15 years 5 months ago
2006
IEEE
— The present paper is devoted to the exploration of the properties of the simple spiking neuron model and quantification of the information transfer rate, which the separate neu...
IJCNN
2006
IEEE
15 years 5 months ago
2006
IEEE
— We propose a modeling framework based on the event-driven paradigm for populations of neurons which interchange messages. Unlike other strategies our approach is focused on the...