J. Douglas Birdwell, Mark E. Dean and Catherine Schuman

October, 2018

US Patent 10,095,718

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Abstract

A circuit element of a multi-dimensional dynamic adaptive neural network array (DANNA) may comprise a neuron/synapse select input functional to select the circuit element to function as one of a neuron and a synapse. In one embodiment of a DANNA array of such circuit elements, (wherein a circuit element or component thereof may be analog or digital), a destination neuron may be connected to a first neuron by a first synapse in one dimension, a second destination neuron may be connected to the first neuron by a second synapse in a second dimension and, optionally, a third destination neuron may be connected to the first neuron by a third synapse. The DANNA may thus form multiple levels of neuron and synapse circuit elements. In one embodiment, multiples of eight inputs may be selectively received by the circuit element selectively functioning as one of a neuron and a synapse. The dynamic adaptive neural network array (DANNA) may comprise a special purpose processor for performing one of a control, anomaly detection and classification application and may comprise a first structure connected to a neuroscience-inspired dynamic artificial neural network (NIDA), comprise substructures thereof or be combined with other neural networks.

Citation Information

Text

author          J. D. Birdwell and Mark E. Dean and C. Schuman
title           Method and apparatus for constructing a dynamic adaptive 
                neural network array (DANNA)
howpublished    U.S. Patent \#10095718
month        October
year            2018

Bibtex

@MISC{bdc:18:cda,
    author = "J. D. Birdwell and Mark E. Dean and C. Schuman",
    title = "Method and apparatus for constructing a dynamic adaptive 
                neural network array (DANNA)",
    howpublished = "U.S. Patent \#10095718",
    month = "October",
    year = "2018"
}