Effects of fast presynaptic noise in attractor neural networks

Details Effects of fast presynaptic noise in attractor neural networks Effects of fast presynaptic noise in attractor neural networks

2005-08-13

arxiv.org/abs/q-bio/0508013v1

Biology

Quantitative Biology

Neurons and Cognition

12 pages, 6 figures. To appear in Neural Computation, 2005

Scientific paper

We study both analytically and numerically the effect of presynaptic noise on the transmission of information in attractor neural networks. The noise occurs on a very short-time scale compared to that for the neuron dynamics and it produces short-time synaptic depression. This is inspired in recent neurobiological findings that show that synaptic strength may either increase or decrease on a short-time scale depending on presynaptic activity. We thus describe a mechanism by which fast presynaptic noise enhances the neural network sensitivity to an external stimulus. The reason for this is that, in general, the presynaptic noise induces nonequilibrium behavior and, consequently, the space of fixed points is qualitatively modified in such a way that the system can easily scape from the attractor. As a result, the model shows, in addition to pattern recognition, class identification and categorization, which may be relevant to the understanding of some of the brain complex tasks.

Affiliated with

Also associated with

No associations

Rating

Effects of fast presynaptic noise in attractor neural networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Effects of fast presynaptic noise in attractor neural networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Effects of fast presynaptic noise in attractor neural networks will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-495472