We validate this using an abstract probabilistic framework and a spiking neural network (SNN) model. Inspired by a mechanism proposed by Nijhawan [1], we first ...

Dec 18, 2014 · The contribution of this thesis lies in the development and simulation of large-scale computational models of spiking neural networks solving ...

Abstract— As it is confronted to inherent neural delays, how does the visual system create a coherent representation of a rapidly changing environment?

Jun 27, 2015 · We validate this using an abstract probabilistic framework and a spiking neural network (SNN) model. Inspired by a mechanism proposed by ...

Signature of an anticipatory response in area VI as modeled by a probabilistic model and a spiking neural network ... area MT+ reduces the flash-lag effect.

2017. Signature of an anticipatory response in area VI as modeled by a probabilistic model and a spiking neural network. BA Kaplan, MA Khoei, A Lansner, LU ...

Asynchronous spiking neurons, the ... Signature of an anticipatory response in area VI as modeled by a probabilistic model and a spiking neural network.

... Signature of an anticipatory response in area VI as modeled by a probabilistic model and a spiking neural network. ... Neural Information Processing. Theory ...

Signature of an anticipatory response in area VI as modeled by a probabilistic model and a spiking neural network · Anticipatory responses along motion ...

Signature of an anticipatory response in area VI as modeled by a probabilistic model and a spiking neural network Proceedings of the International Joint ...