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