CaltechAUTHORS
  A Caltech Library Service

VLSI architectures for implementation of neural networks

Sivilotti, Massimo A. and Emerling, Michael R. and Mead, Carver A. (1986) VLSI architectures for implementation of neural networks. In: Neural Networks for Computing. AIP Conference Proceedings. No.151. American Institute of Physics , Melville, NY, pp. 408-413. ISBN 0-88318-351-X. http://resolver.caltech.edu/CaltechAUTHORS:20141215-164438997

[img]
Preview
PDF - Published Version
See Usage Policy.

510Kb

Use this Persistent URL to link to this item: http://resolver.caltech.edu/CaltechAUTHORS:20141215-164438997

Abstract

A large scale collective system implementing a specific model for associative memory was described by Hopfield [1]. A circuit model for this operation is illustrated in Figure 1, and consists of three major components. A collection of active gain elements (called amplifiers or "neurons") with gain function V = g(v) are connected by a passive interconnect matrix which provides unidirectional excitatory or inhibitory connections ("synapses") between the output of one neuron and the input to another. The strength of this interconnection is given by the conductance G_(ij) = G_0T_(ij). The requirements placed on the gain function g(v) are not very severe [2], and easily met by VLSI-realizable amplifiers. The third circuit element is the capacitances that determine the time evolution of the system, and are modelled as lumped capacitances. This formulation leads to the equations of motion shown in Figure 2, and to a Liapunov energy function which determines the dynamics of the system, and predicts the location of stable states (memories) in the case of a symmetric matrix T.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1063/1.36247DOIArticle
http://scitation.aip.org/content/aip/proceeding/aipcp/10.1063/1.36247PublisherArticle
Additional Information:© 1986 American Institute of Physics. This research was supported by the System Development Foundation.
Funders:
Funding AgencyGrant Number
System Development FoundationUNSPECIFIED
Record Number:CaltechAUTHORS:20141215-164438997
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20141215-164438997
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:52838
Collection:CaltechAUTHORS
Deposited By: Kristin Buxton
Deposited On:16 Dec 2014 17:38
Last Modified:04 Jun 2018 18:36

Repository Staff Only: item control page