Spatio-temporal spiking neural networks in neuromorphic hardware systems

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United States of America Patent

PATENT NO 10671912
APP PUB NO 20180075345A1
SERIAL NO

15264316

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Abstract

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Technologies are provided for implementing temporal and spatio-temporal spiking neural networks (SNNs) using neuromorphic hardware devices. Temporal synapse circuits, with associated weight values, can be used to control spike times of connected neuron circuits. The controlled spike times of multiple neuron circuits can be used to temporally encode information in a neural network in neuromorphic hardware. Neuron circuits in a state space detection layer can be organized into multiple subsets. Neuron circuits in different subsets can be connected to output neuron circuits in an output layer by separate temporal synapse circuits. Spiking signals sent from the neuron circuits in the state space detection layer via separate temporal synapse circuits can cause associated output neuron circuits to generate output spiking signals at different times. The various spike times of the output neuron circuits can be aggregated to produce an output signal for the network.

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Patent Owner(s)

  • SAP SE

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Deiseroth, Bjoern Darmstadt, DE 4 26
Gottfried, Frank Walldorf, DE 2 13
Neidecker-Lutz, Burkhard Walldorf, DE 1 11

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