27-04-2017 дата публикации
Номер: US20170116515A1
Автор:
Stefan Abel,
Lukas Czomomaz,
Veeresh V. Deshpande,
Jean Fompeyrine,
ABEL STEFAN,
CZOMOMAZ LUKAS,
DESHPANDE VEERESH V,
FOMPEYRINE JEAN,
Abel Stefan,
Czomomaz Lukas,
Deshpande Veeresh V.,
Fompeyrine Jean
Принадлежит:
A reservoir computing neuromorphic network includes an input layer comprising one or more input nodes, a reservoir layer comprising a plurality of reservoir nodes, and an output layer comprising one or more output nodes. A portion of at least one of the input layer, the reservoir layer, and the output layer includes an optically tunable material. 1. A reservoir computing neuromorphic network , comprising:an input layer comprising one or more input nodes;a reservoir layer comprising a plurality of reservoir nodes; andan output layer comprising one or more output nodes,wherein a portion of at least one of the input layer, the reservoir layer, and the output layer includes an optically tunable material.2. The reservoir computing neuromorphic network of claim 1 , wherein the input layer claim 1 , the reservoir layer claim 1 , and the output layer form a first block claim 1 , the reservoir computing neuromorphic network further comprising:a second block having a second input layer comprising one or more second input nodes, a second reservoir layer comprising a plurality of second reservoir nodes, and a second output layer comprising one or more second output nodes, wherein at least one of the second input layer, the second reservoir layer, and the second output layer is formed from an optically tunable material, andwherein an input to the second block is an output of the first block.3. The reservoir computing neuromorphic network of claim 1 , wherein each of the input layer claim 1 , the output layer claim 1 , and the reservoir layer includes an optically tunable material.4. The reservoir computing neuromorphic network of claim 1 , wherein the optically tunable material is a III-V semiconductor material claim 1 , a photorefractive material claim 1 , an optically nonlinear material claim 1 , a phase change material claim 1 , or a magneto-optical material.5. The reservoir computing neuromorphic network of claim 1 , wherein the input layer is formed from photonic crystals.6 ...
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