Invention Grant
- Patent Title: Multi-modal neural network for universal, online learning
- Patent Title (中): 多模态神经网络通用,在线学习
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Application No.: US13325321Application Date: 2011-12-14
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Publication No.: US08626684B2Publication Date: 2014-01-07
- Inventor: Dharmendra S. Modha
- Applicant: Dharmendra S. Modha
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Sherman & Zarrabian LLP
- Agent Kenneth L. Sherman, Esq.; Michael Zarrabian, Esq.
- Main IPC: G06N5/00
- IPC: G06N5/00

Abstract:
In one embodiment, the present invention provides a neural network comprising multiple modalities. Each modality comprises multiple neurons. The neural network further comprises an interconnection lattice for cross-associating signaling between the neurons in different modalities. The interconnection lattice includes a plurality of perception neuron populations along a number of bottom-up signaling pathways, and a plurality of action neuron populations along a number of top-down signaling pathways. Each perception neuron along a bottom-up signaling pathway has a corresponding action neuron along a reciprocal top-down signaling pathway. An input neuron population configured to receive sensory input drives perception neurons along a number of bottom-up signaling pathways. A first set of perception neurons along bottom-up signaling pathways drive a first set of action neurons along top-down signaling pathways. Action neurons along a number of top-down signaling pathways drive an output neuron population configured to generate motor output.
Public/Granted literature
- US20130159229A1 MULTI-MODAL NEURAL NETWORK FOR UNIVERSAL, ONLINE LEARNING Public/Granted day:2013-06-20
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06N | 基于特定计算模型的计算机系统 |
G06N5/00 | 利用基于知识的模式的计算机系统 |