Invention Grant
US09053429B2 Mapping neural dynamics of a neural model on to a coarsely grained look-up table
有权
将神经模型的神经动力学映射到粗粒度查找表
- Patent Title: Mapping neural dynamics of a neural model on to a coarsely grained look-up table
- Patent Title (中): 将神经模型的神经动力学映射到粗粒度查找表
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Application No.: US13725442Application Date: 2012-12-21
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Publication No.: US09053429B2Publication Date: 2015-06-09
- 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: G06E1/00
- IPC: G06E1/00 ; G06E3/00 ; G06F15/18 ; G06G7/00 ; G06N3/00 ; G06N3/04 ; G06N3/063
Abstract:
Embodiments of the invention relate to mapping neural dynamics of a neural model on to a lookup table. One embodiment comprises defining a phase plane for a neural model. The phase plane represents neural dynamics of the neural model. The phase plane is coarsely sampled to obtain state transition information for multiple neuronal states. The state transition information is mapped on to a lookup table.
Public/Granted literature
- US20140180985A1 MAPPING NEURAL DYNAMICS OF A NEURAL MODEL ON TO A COARSELY GRAINED LOOK-UP TABLE Public/Granted day:2014-06-26
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