DocumentCode :
2377320
Title :
An analog circuit implementation of a quadratic integrate and fire neuron
Author :
Basham, Eric J. ; Parent, David W.
Author_Institution :
Univ. of California Santa Cruz, Santa Cruz, CA, USA
fYear :
2009
fDate :
3-6 Sept. 2009
Firstpage :
741
Lastpage :
744
Abstract :
Silicon neurons are of importance both to implement hybrid electronic-biological system as well as to develop fundamental understanding of the neurobiological systems they emulate. We have implemented a hardware version of the quadratic integrate and fire neural model. The quadratic integrate and fire neuron differs from the more common integrate and fire neuron in that the model, and thus the hardware, intrinsically generate spikes. Readily available discrete surface mount components are used to make the hardware available to a wider audience and facilitate experimentation.
Keywords :
analogue circuits; neural nets; silicon; surface mount technology; Si; Action Potentials; Biomimetic Materials; Computer Simulation; Electronics; Equipment Design; Equipment Failure Analysis; Humans; Models, Neurological; Neurons; Synaptic Transmission;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1557-170X
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2009.5332655
Filename :
5332655
Link To Document :
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