Batch processing in a neural network processor
US-2016342890-A1 · Nov 24, 2016 · US
US8996430B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8996430-B2 |
| Application number | US-201213360614-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jan 27, 2012 |
| Priority date | Jan 27, 2012 |
| Publication date | Mar 31, 2015 |
| Grant date | Mar 31, 2015 |
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In one embodiment, the present invention provides a neural network circuit comprising multiple symmetric core circuits. Each symmetric core circuit comprises a first core module and a second core module. Each core module comprises a plurality of electronic neurons, a plurality of electronic axons, and an interconnection network comprising multiple electronic synapses interconnecting the axons to the neurons. Each synapse interconnects an axon to a neuron. The first core module and the second core module are logically overlayed on one another such that neurons in the first core module are proximal to axons in the second core module, and axons in the first core module are proximal to neurons in the second core module. Each neuron in each core module receives axonal firing events via interconnected axons and generates a neuronal firing event according to a neuronal activation function.
Opening claim text (preview).
What is claimed is: 1. A neural network circuit, comprising: multiple symmetric core circuits, wherein each symmetric core circuit comprises: a first core module and a second core module, wherein each core module comprises: a plurality of electronic neurons; a plurality of electronic axons; and an interconnection network comprising multiple electronic synapses interconnecting the axons to the neurons, wherein each synapse interconnects an axon to a neuron; and at least o…
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Physics · mapped topic
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