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Computing Generalized Matrix Inverse on Spiking Neural Substrate
Rohit Shukla, Soroosh Khoram,
Erik Jorgensen
, Jing Li, Mikko Lipasti, Stephen Wright
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Keyphrases
Neural Substrates
100%
Generalized Matrix Inverse
100%
IBM TrueNorth
100%
Numerical Algorithms
66%
Mathematical Framework
33%
Analytical Model
33%
Optical Flow
33%
Hardware Platform
33%
Energy Reduction
33%
Postsynaptic Density Protein 95 (PSD-95)
33%
Numerics
33%
Energy Efficient
33%
Moore-Penrose Generalized Inverse
33%
Hopfield Neural Network
33%
Linear Optimization
33%
Low Energy Cost
33%
Neural Hardware
33%
Energy Benefit
33%
ARM Core
33%
Reduced Precision
33%
System of Linear Equations
33%
Engineering
Matrix Inverse
100%
Energy Engineering
50%
Analytical Model
50%
Recurrent
50%
Field Programmable Gate Arrays
50%
Broader Class
50%
Low Energy Cost
50%
Synaptic Weight
50%
Generalized Inverse
50%
Linear Equation
50%
Energy Benefit
50%