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Four-quadrant one-transistor-synapse for high-density CNN implementations

Presents a linear four-quadrants, electrically-programmable, one-transistor synapse strategy applicable to the implementation of general massively-parallel analog processors in CMOS technology. It is specially suited for translationally-invariant processing arrays with local connectivity, and result...

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Main Authors: Dominguez-Castro, R., Rodriguez-Vazquez, A., Espejo, S., Carmona, R.
Format: Conference Proceeding
Language:English
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creator Dominguez-Castro, R.
Rodriguez-Vazquez, A.
Espejo, S.
Carmona, R.
description Presents a linear four-quadrants, electrically-programmable, one-transistor synapse strategy applicable to the implementation of general massively-parallel analog processors in CMOS technology. It is specially suited for translationally-invariant processing arrays with local connectivity, and results in a significant reduction in area occupation and power dissipation of the basic processing units. This allows higher integration densities and therefore, permits the integration of larger arrays on a single chip.
doi_str_mv 10.1109/CNNA.1998.685377
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ispartof 1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359), 1998, p.243-248
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Analog processing circuits
Artificial neural networks
Cellular neural networks
CMOS process
CMOS technology
Energy consumption
Power dissipation
Proposals
Signal processing
Voltage
title Four-quadrant one-transistor-synapse for high-density CNN implementations
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