Neuromorphic event-driven neural computing architecture in a scalable neural network

US10504021B2 · kind B2 · utility

Assignees

• International Business Machines Corporation · US
• Cornell University · IT

Inventors

• Filipp A. Akopyan · Ithaca, US
• John V. Arthur · Mountain View, US
• Rajit Manohar · Ithaca, US
• Paul A. Merolla · Palo Alto, US
• Dharmendra S. Modha · San Jose, US
• Alyosha Molnar · Brooks Road, US
• William P. Risk · Mountain View, US

Key dates

• Filing date: Jan 6, 2016
• Grant date: Dec 10, 2019
• Expiry date: Aug 29, 2038

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N3/082
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

An event-driven neural network includes a plurality of interconnected core circuits is provided. Each core circuit includes an electronic synapse array has multiple digital synapses interconnecting a plurality of digital electronic neurons. A synapse interconnects an axon of a pre-synaptic neuron with a dendrite of a post-synaptic neuron. A neuron integrates input spikes and generates a spike event in response to the integrated input spikes exceeding a threshold. Each core circuit also has a scheduler that receives a spike event and delivers the spike event to a selected axon in the synapse array based on a schedule for deterministic event delivery.