1707 search results - page 13 / 342 » Modeling spiking neural networks |
IWANN
2007
Springer
14 years 1 months ago
2007
Springer
This paper presents a network architecture to interconnect mixed-signal VLSI1 integrate-and-fire neural networks in a way that the timing of the neural network data is preserved. ...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract - In this paper we develop and analyze Spiking Neural Network (SNN) versions of Resilient Propagation (RProp) and QuickProp, both training methods used to speed up trainin...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
We compute the capacity of neural prostheses using a vector Poisson process model for the neural population channel. For single-electrode stimulation prostheses, the capacity is p...
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
Abstract— In this paper, we present a weighted Linde-BuzoGray algorithm (WLBG) as a powerful and efficient technique for compressing neural spike data. We compare this technique...
ICANN
2007
Springer
14 years 1 months ago
2007
Springer
Evolutionary multi-objective optimization of spiking neural networks for solving classification problems is studied in this paper. By means of a Paretobased multi-objective geneti...