INTERSPIKE INTERVAL DECODING NEURAL NETWORK

Patent №

US 5,216,752

Granted

1993-06-01

Filed 1990

Owner

BAYLOR COLLEGE OF MEDICINE, A NON-PROFIT CORP. OF TX

Lab

AI components

3

ml · vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

07630463

A multi-layered neural network is disclosed that converts an incoming temporally coded spike train into a spatially distributed topographical map from which interspike-interval and bandwidth information may be extracted. This neural network may be used to decode multiplexed pulse-coded signals embedded serially in an incoming spike train into parallel distributed topographically mapped channels. A signal processing and code conversion algorithm not requiring learning is provided.

AI classification

Machine learning1.00
AI hardware1.00
Vision0.98
Speech0.41
Natural language0.06
Evolutionary computation0.01
Knowledge representation0.00
Planning0.00

Ownership

BAYLOR COLLEGE OF MEDICINE, A NON-PROFIT CORP. OF TX

assignment · 55550013

Assignors

TAM, DAVID C.

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

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