189 search results - page 9 / 38 » A Solid-State Neuron for Spiking Neural Network Implementati... |
117
click to vote
NECO
2010
14 years 10 months ago
2010
Abstract: Reservoir Computing (RC) systems are powerful models for online computations on input sequences. They consist of a memoryless readout neuron which is trained on top of a ...
100
click to vote
ESANN
2006
15 years 1 months ago
2006
We present a distributed spiking neuron network (SNN) for handling low-level visual perception in order to extract salient locations in robot camera images. We describe a new metho...
NIPS
2004
15 years 1 months ago
2004
We propose a new interpretation of spiking neurons as Bayesian integrators accumulating evidence over time about events in the external world or the body, and communicating to oth...
IJCNN
2006
IEEE
15 years 5 months ago
2006
IEEE
Abstract— Supervised learning rules for spiking neural networks are currently only able to use time-to-first-spike coding and are plagued by very irregular learning curves due t...
NIPS
2007
15 years 1 months ago
2007
Point process encoding models provide powerful statistical methods for understanding the responses of neurons to sensory stimuli. Although these models have been successfully appl...