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ASME Press Select Proceedings
Intelligent Engineering Systems through Artificial Neural Networks, Volume 16
ISBN-10:
0791802566
No. of Pages:
1000
Publisher:
ASME Press
Publication date:
2006
eBook Chapter
32 Brain Dynamics Modeling via Spiking Neuron Simulator
By
Natacha Gueorguieva
,
Natacha Gueorguieva
Computer Science
City University of New York
2800 Victory Blvd. Staten Island
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Iren Valova
,
Iren Valova
Computer and Information Sciences
University of Massachusetts
285 Old Westport Rd., Dartmouth
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Matthew Luberto
Matthew Luberto
Computer Science
City University of New York
2800 Victory Blvd. Staten Island
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Page Count:
6
-
Published:2006
Citation
Gueorguieva, N, Valova, I, & Luberto, M. "Brain Dynamics Modeling via Spiking Neuron Simulator." Intelligent Engineering Systems through Artificial Neural Networks, Volume 16. Ed. Dagli, CH, Buczak, AL, Enke, DL, Embrechts, M, & Ersoy, O. ASME Press, 2006.
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Spiking neuron systems are based on biologically inspired neural models of computation since they take into account the precise timing of spike events and therefore are suitable to analyze dynamical aspects of neuronal signal transmission. Further more, they are closer to biophysical models of neurons, synapses, and related elements and their synchronized firing of neuronal assemblies could serve the brain as a code for feature binding and pattern segmentation.
In this research we develop a Spiking Neuron Simulator (SNS) with seven input generators (Sin Waves, Absolute Sin Waves, Random Noise, Discrete Noise, Pulse EXP, Pulse CST, and Square Wave) and...
Abstract
Introduction
Biological Background
Spiking Neuron Simulator
Simulations and Discussions
Conclusions
References
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