NDLI: On the realization of a Q-state neuron

Content Provider	IEEE Xplore Digital Library
Author	Kothari, R. Cahay, M. Gang Qian
Copyright Year	1994
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Cincinnati Univ., OH, USA (Kothari, R.; Cahay, M.; Gang Qian)
Abstract	Q-state associative memories find use in color or gray scale image processing where each pixel can assume one of Q different intensities. In this paper, the authors present the realization of a Q-state neuron, for use in such memories, using a radio frequency driven superconducting Wheatstone bridge. The Q-states are obtained in the form of Shapiro steps observed in the transverse voltage of such bridges for large values of DC biasing currents. If low temperature semiconductors are used variable synapses can be realized using superconducting field effect transistors whose normal resistance and supercurrent vary with the applied gate voltage. Wheatstone bridges made of cuprate superconductors with synapses consisting of flux flow transistors or DC-SQUIDs could be used for neural chip operation at 77 K. Low power dissipation makes the proposed neuron implementation attractive for use in the fabrication of large scale neural circuits.
Starting Page	2089
Ending Page	2092
File Size	397528
Page Count	4
File Format	PDF
ISBN	078031901X
DOI	10.1109/ICNN.1994.374536
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-06-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neurons Bridge circuits Voltage Associative memory Color Image processing Pixel Radio frequency Temperature FETs
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Neuron MOS winner-take-all circuit and its application to associative memory

A 256-element Associative Parallel Processor

CNN based on multi-valued neuron as a model of associative memory for grey scale images

High power, high voltage FETs in linear applications: A user's perspective

Vector-neuron models of associative memory

Associative memory based on ratio learning for real time skin color detection

Circuits for multi-level neuron nonlinearities

Solid-state color imager using an a-Si:H photoconductive film

Switched-capacitor realization of the associative memory

On the realization of a Q-state neuron

Similar Documents

Neuron MOS winner-take-all circuit and its application to associative memory

A 256-element Associative Parallel Processor

CNN based on multi-valued neuron as a model of associative memory for grey scale images

High power, high voltage FETs in linear applications: A user's perspective

Vector-neuron models of associative memory

Associative memory based on ratio learning for real time skin color detection

Circuits for multi-level neuron nonlinearities

Solid-state color imager using an a-Si:H photoconductive film

Switched-capacitor realization of the associative memory

On the realization of a Q-state neuron