Sciweavers

1707 search results - page 1 / 342
» Modeling spiking neural networks
Sort
View
IJCNN
2007
IEEE
15 years 7 months ago
Character Recognition using Spiking Neural Networks
— A spiking neural network model is used to identify characters in a character set. The network is a two layered structure consisting of integrate-and-fire and active dendrite n...
Ankur Gupta, Lyle N. Long
127
Voted
ICANN
2005
Springer
15 years 6 months ago
A Hardware/Software Framework for Real-Time Spiking Systems
Abstract. One focus of recent research in the field of biologically plausible neural networks is the investigation of higher-level functions such as learning, development and modu...
Matthias Oster, Adrian M. Whatley, Shih-Chii Liu, ...
80
Voted
NN
1997
Springer
136views Neural Networks» more  NN 1997»
15 years 5 months ago
Probabilistic Models of Neuronal Spike Trains
Pierre Baldi
IJCNN
2008
IEEE
15 years 7 months ago
Biologically realizable reward-modulated hebbian training for spiking neural networks
— Spiking neural networks have been shown capable of simulating sigmoidal artificial neural networks providing promising evidence that they too are universal function approximat...
Silvia Ferrari, Bhavesh Mehta, Gianluca Di Muro, A...
105
Voted
ESANN
2004
15 years 2 months ago
Input arrival-time-dependent decoding scheme for a spiking neural network
Spiking neurons model a type of biological neural system where information is encoded with spike times. In this paper, a new method for decoding input spikes according to their abs...
Hesham H. Amin, Robert H. Fujii