- Patent Title: Hardware architecture for simulating a neural network of neurons
-
Application No.: US14716718Application Date: 2015-05-19
-
Publication No.: US09466022B2Publication Date: 2016-10-11
- Inventor: Rodrigo Alvarez-Icaza Rivera , John V. Arthur , Andrew S. Cassidy , Pallab Datta , Paul A. Merolla , Dharmendra S. Modha
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 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: G06N3/06
- IPC: G06N3/06 ; G06N3/063 ; G06N3/04 ; G06N3/08

Abstract:
Embodiments of the invention relate to a neural network system for simulating neurons of a neural model. One embodiment comprises a memory device that maintains neuronal states for multiple neurons, a lookup table that maintains state transition information for multiple neuronal states, and a controller unit that manages the memory device. The controller unit updates a neuronal state for each neuron based on incoming spike events targeting said neuron and state transition information corresponding to said neuronal state.
Public/Granted literature
- US20160034808A1 HARDWARE ARCHITECTURE FOR SIMULATING A NEURAL NETWORK OF NEURONS Public/Granted day:2016-02-04
Information query