TY - GEN
T1 - Design of a scalable opto-electronic neural system using free-space optical interconnects
AU - Krishnamoorthy, A. V.
AU - Yayla, G.
AU - Esener, S. C.
PY - 1991
Y1 - 1991
N2 - The authors describe a three-dimensional opto-electronic neural system that uses a hybrid silicon VLSI-based opto-electronic integrated circuit (OEIC) technology to implement the neurons and their associated synapses and fixed, free-space optical diffractive elements to interconnect the neurons. The architecture provides full connectivity between neurons, flexible functionality of neurons and synapses, accurate electronic fan-in, and biologically inspired dendritic-type fan-in processing. The system requirements for neural network implementations are addressed. The architecture is described, and the technological feasibility of the system is discussed. Optimal data encoding methods are proposed. Low-area circuit designs with learning capabilities that achieve high linear dynamic range are presented.
AB - The authors describe a three-dimensional opto-electronic neural system that uses a hybrid silicon VLSI-based opto-electronic integrated circuit (OEIC) technology to implement the neurons and their associated synapses and fixed, free-space optical diffractive elements to interconnect the neurons. The architecture provides full connectivity between neurons, flexible functionality of neurons and synapses, accurate electronic fan-in, and biologically inspired dendritic-type fan-in processing. The system requirements for neural network implementations are addressed. The architecture is described, and the technological feasibility of the system is discussed. Optimal data encoding methods are proposed. Low-area circuit designs with learning capabilities that achieve high linear dynamic range are presented.
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M3 - Conference contribution
AN - SCOPUS:0026376523
SN - 0780301641
T3 - Proceedings. IJCNN-91-Seattle: International Joint Conference on Neural Networks
SP - 527
EP - 534
BT - Proceedings. IJCNN-91-Seattle
A2 - Anon, null
PB - Publ by IEEE
T2 - International Joint Conference on Neural Networks - IJCNN-91-Seattle
Y2 - 8 July 1991 through 12 July 1991
ER -