Solving Constraint Satisfaction Problems with Networks of Spiking Neurons.

ABSTRACT: Network of neurons in the brain apply-unlike processors in our current generation of computer hardware-an event-based processing strategy, where short pulses (spikes) are emitted sparsely by neurons to signal the occurrence of an event at a particular point in time. Such spike-based computations promise to be substantially more power-efficient than traditional clocked processing schemes. However, it turns out to be surprisingly difficult to design networks of spiking neurons that can solve difficult computational problems on the level of single spikes, rather than rates of spikes. We present here a new method for designing networks of spiking neurons via an energy function. Furthermore, we show how the energy function of a network of stochastically firing neurons can be shaped in a transpa

SUBMITTER: Jonke Z 

PROVIDER: S-EPMC4811945 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature