Invention Grant
- Patent Title: Trace-based neuromorphic architecture for advanced learning
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Application No.: US15385219Application Date: 2016-12-20
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Publication No.: US11037054B2Publication Date: 2021-06-15
- Inventor: Michael I Davies , Andrew M Lines
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/063 ; G06N3/04

Abstract:
A neuromorphic computing apparatus has a network of neuromorphic cores, with each core including an input axon and a plurality of neurons having synapses. The input axon is associated with an input data store to store an input trace representing a time series of filtered pre-synaptic spike events, and accessible by the synapses of the plurality of neurons of the core. Each neuron includes at least one dendritic compartment to store and process variables representing a dynamic state of the neuron. Each compartment is associated with a compartment-specific data store to store an output trace representing a time series of filtered post-synaptic spike events. Each neuron includes a learning engine to apply a set of one or more learning rules based on the pre-synaptic and post-synaptic spike events to produce an adjustment of parameters of a corresponding synapse to those spike events.
Public/Granted literature
- US20180174040A1 TRACE-BASED NEUROMORPHIC ARCHITECTURE FOR ADVANCED LEARNING Public/Granted day:2018-06-21
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