Invention Grant
- Patent Title: Spatio-temporal spiking neural networks in neuromorphic hardware systems
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Application No.: US15264316Application Date: 2016-09-13
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Publication No.: US10671912B2Publication Date: 2020-06-02
- Inventor: Frank Gottfried , Bjoern Deiseroth , Burkhard Neidecker-Lutz
- Applicant: SAP SE
- Applicant Address: DE Walldorf
- Assignee: SAP SE
- Current Assignee: SAP SE
- Current Assignee Address: DE Walldorf
- Agency: Klarquist Sparkman, LLP
- Main IPC: G06N3/063
- IPC: G06N3/063 ; G06N3/04 ; G06N20/00 ; G06N3/08

Abstract:
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.
Public/Granted literature
- US20180075345A1 SPATIO-TEMPORAL SPIKING NEURAL NETWORKS IN NEUROMORPHIC HARDWARE SYSTEMS Public/Granted day:2018-03-15
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