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» Modeling spiking neural networks
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ICANN
2009
Springer
14 years 2 months ago
Spectra of the Spike Flow Graphs of Recurrent Neural Networks
Recently the notion of power law networks in the context of neural networks has gathered considerable attention. Some empirical results show that functional correlation networks in...
Filip Piekniewski
ESANN
2006
13 years 9 months ago
Parallel hardware implementation of a broad class of spiking neurons using serial arithmetic
Abstract. Current digital, directly mapped implementations of spiking neural networks use serial processing and parallel arithmetic. On a standard CPU, this might be the good choic...
Benjamin Schrauwen, Jan M. Van Campenhout
COGSR
2011
99views more  COGSR 2011»
13 years 2 months ago
A biologically realistic cleanup memory: Autoassociation in spiking neurons
Methods for cleaning up (or recognizing) states of a neural network are crucial for the functioning of many neural cognitive models. For example, Vector Symbolic Architectures pro...
Terrence C. Stewart, Yichuan Tang, Chris Eliasmith
IJCNN
2006
IEEE
14 years 1 months ago
Implementing Synaptic Plasticity in a VLSI Spiking Neural Network Model
— This paper describes an area-efficient mixed-signal implementation of synapse-based long term plasticity realized in a VLSI1 model of a spiking neural network. The artificial...
Johannes Schemmel, Andreas Grübl, Karlheinz M...
IJCNN
2008
IEEE
14 years 2 months ago
Image clustering with spiking neuron network
— The process of segmenting images is one of the most critical ones in automatic image analysis whose goal can be regarded as to find what objects are presented in images. Artifi...
B. Meftah, A. Benyettou, Olivier Lezoray, W. QingX...