MULTI-SCALE SPATIO-TEMPORAL NEURAL NETWORK SYSTEM

Embodiments of the invention relate to a multi-scale spatio-temporal neural network system. One embodiment comprises a neural network including multiple heterogeneous neuron populations that operate at different time scales. Each neuron population comprises at least one digital neuron. Each neuron p...

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Bibliographic Details
Main Author Modha Dharmendra S
Format Patent
LanguageEnglish
Published 22.09.2016
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:Embodiments of the invention relate to a multi-scale spatio-temporal neural network system. One embodiment comprises a neural network including multiple heterogeneous neuron populations that operate at different time scales. Each neuron population comprises at least one digital neuron. Each neuron population further comprises a time scale generation circuit that controls timing for operation of said neuron population, wherein each neuron of said neuron population integrates neuronal firing events at a time scale corresponding to said neuron population. The neural network further comprises a plurality of synapses interconnecting the neurons, wherein each synapse interconnects a neuron with another neuron. At least one neuron receives neuronal firing events from an interconnected neuron that operates at a different time scale.
Bibliography:Application Number: US201615164772