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» On the use of spiking neural network for EEG classification
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BSN
2011
IEEE
233views Sensor Networks» more  BSN 2011»
12 years 8 months ago
Compressive Sensing of Neural Action Potentials Using a Learned Union of Supports
—Wireless neural recording systems are subject to stringent power consumption constraints to support long-term recordings and to allow for implantation inside the brain. In this ...
Zainul Charbiwala, Vaibhav Karkare, Sarah Gibson, ...
COGSR
2011
99views more  COGSR 2011»
13 years 3 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
ICANN
2009
Springer
14 years 3 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
ICONIP
2007
13 years 10 months ago
Adaptive Spiking Neural Networks for Audiovisual Pattern Recognition
Abstract. The paper describes the integration of brain-inspired systems to perform audiovisual pattern recognition tasks. Individual sensory pathways as well as the integrative mod...
Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasa...
DELTA
2008
IEEE
13 years 10 months ago
A Spiking Neural Network for Gas Discrimination Using a Tin Oxide Sensor Array
We propose a bio-inspired signal processing method for odor discrimination. A spiking neural network is trained with a supervised learning rule so as to classify the analog outputs...
Maxime Ambard, Bin Guo, Dominique Martinez, Amine ...