Invention Grant
- Patent Title: Multi-scale spatio-temporal neural network system
- Patent Title (中): 多尺度时空神经网络系统
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Application No.: US13562205Application Date: 2012-07-30
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Publication No.: US09400954B2Publication Date: 2016-07-26
- Inventor: Dharmendra S. Modha
- Applicant: Dharmendra S. Modha
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Sherman IP LLP
- Agent Kenneth L. Sherman; Hemavathy Perumal
- Main IPC: G06N3/04
- IPC: G06N3/04

Abstract:
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.
Public/Granted literature
- US20150302294A1 MULTI-SCALE SPATIO-TEMPORAL NEURAL NETWORK SYSTEM Public/Granted day:2015-10-22
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