Spiking Analog VLSI Neuron Assemblies as Constraint Satisfaction Problem Solvers

2 Nov 2015Jonathan BinasGiacomo IndiveriMichael Pfeiffer

Solving constraint satisfaction problems (CSPs) is a notoriously expensive computational task. Recently, it has been proposed that efficient stochastic solvers can be obtained through appropriately configured spiking neural networks performing Markov Chain Monte Carlo (MCMC) sampling... (read more)

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