DocumentCode
3249882
Title
Silicon implementation of the generalized integrate-and-fire neuron model
Author
Hamilton, Tara Julia ; Van Schaik, André
Author_Institution
Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia
fYear
2011
fDate
6-9 Dec. 2011
Firstpage
108
Lastpage
112
Abstract
In this paper we present the design, implementation and preliminary results from a silicon neuron (SiN) based on the generalized integrate-and-fire neuron model. The SiN is integrated onto a chip with a number of similar SiNs. In this paper we show the results from a single neuron, however, in the future it is our aim to show that real-time, low-power and highly configurable spiking neural networks are feasible on silicon chips.
Keywords
neural chips; neural nets; SiN; generalized integrate-and-fire neuron model; silicon chip; silicon neuron; spiking neural network; Biological system modeling; Integrated circuit modeling; Manganese; Mathematical model; Neurons; Silicon; Silicon compounds;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2011 Seventh International Conference on
Conference_Location
Adelaide, SA
Print_ISBN
978-1-4577-0675-2
Type
conf
DOI
10.1109/ISSNIP.2011.6146585
Filename
6146585
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