CIRCUITS AND METHODS REPRESENTATIVE OF SPIKE TIMING DEPENDENT PLASTICITY OF NEURONS

Patent №

US 8,600,919

Granted

2013-12-03

Filed 2011

Owner

MASSACHUSETTS INSTITUTE OF TECHNOLOGY

+1 more

Lab

MIT CSAIL

AI components

ml · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13058754

A neuromorphic circuit performs functions representative of spiking timing dependent plasticity of a synapse.

Machine learning AI hardwareG06N 3/065G06N 3/049G06N 3/084G06N 3/088

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Machine learning1.00

AI hardware1.00

Evolutionary computation0.04

Speech0.03

Vision0.01

Natural language0.00

Knowledge representation0.00

Planning0.00

Ownership

MASSACHUSETTS INSTITUTE OF TECHNOLOGY

assignment · 234070121

UNIVERSITY OF NEW HAMPSHIRE

assignment · 234070231

Assignors

POON, CHI-SANG, MONZON, JOSHUA JEN CHOA, POON, CHI-SANG, MONZON, JOSHUA JEN CHOA

On an employer assignment, the assignors are typically the inventors.

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Cites (3)

HEBBIAN SYNAPSE CIRCUITUS 7,047,225 · 2006 HEBBIAN SYNAPSE CIRCUITUS 6,687,686 · 2004 NEURON CIRCUIT AND RELATED TECHNIQUESUS 6,507,828 · 2003

Cited by (18)

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Related research

A Neuromorphic VLSI Design for Spike Timing and Rate Based Synaptic PlasticityarXiv A Model for $R(t)$ Elements and $R(t)$ -Based Spike-Timing-Dependent Plasticity With Basic Circuit ExamplesSemantic Scholar A neuromorphic implementation of multiple spike-timing synaptic plasticity rules for large-scale neural networksSemantic Scholar Investigating R(t) Functions for Spike-Timing-Dependent Plasticity in Memristive Neural NetworksSemantic Scholar Unsupervised Learning of Precise Spike Times with Membrane Potential Dependent Synaptic PlasticityarXiv

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