Analog neurons and neurosynaptic networks

Details Analog neurons and neurosynaptic networks Analog neurons and neurosynaptic networks

2006-02-14

2006-02-14

Hirl, Joseph P. (Department: 2129)

Data processing: artificial intelligence

Neural network

Structure

C706S026000, C706S027000

Reexamination Certificate

active

06999953

ABSTRACT:
An analog neural computing medium, neuron and neural networks are disclosed. The neural computing medium includes a phase change material that has the ability to cumulatively respond to multiple input signals. Input signals induce transformations among a plurality of accumulation states of the disclosed neural computing medium. The accumulation states are characterized by a high electrical resistance. Upon cumulative receipt of energy from one or more input signals that equals or exceeds a threshold value, the neural computing medium fires by transforming to a low resistance state. The disclosed neural computing medium may also be configured to perform a weighting function whereby it weights incoming signals. The disclosed neurons may also include activation units for further transforming signals transmitted by the accumulation units according to a mathematical operation. The artificial neurons, weighting units, accumulation units and activation units may be connected to form artificial neural networks.

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