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» Character Recognition using Spiking Neural Networks
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IJCNN
2007
IEEE
9 years 8 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
IJCNN
2007
IEEE
9 years 8 months ago
Compact hardware for real-time speech recognition using a Liquid State Machine
Abstract— Hardware implementations of Spiking Neural Networks are numerous because they are well suited for implementation in digital and analog hardware, and outperform classic ...
Benjamin Schrauwen, Michiel D'Haene, David Verstra...
GECCO
2004
Springer
212views Optimization» more  GECCO 2004»
9 years 7 months ago
An Evolutionary Autonomous Agent with Visual Cortex and Recurrent Spiking Columnar Neural Network
Spiking neural networks are computationally more powerful than conventional artificial neural networks. Although this fact should make them especially desirable for use in evoluti...
Rich Drewes, James B. Maciokas, Sushil J. Louis, P...
GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
9 years 3 months ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
ICONIP
2007
9 years 3 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...
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