发明名称 MULTI-MODAL NEURAL NETWORK FOR UNIVERSAL, ONLINE LEARNING
摘要 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.
申请公布号 US2013159231(A1) 申请公布日期 2013.06.20
申请号 US201213596274 申请日期 2012.08.28
申请人 MODHA DHARMENDRA S.;INTERNATIONAL BUSINESS MACHINES CORPORATION 发明人 MODHA DHARMENDRA S.
分类号 G06N3/04;G06F15/18 主分类号 G06N3/04
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