Continuous or discrete attractors in neural circuits? A self-organized switch at maximal entropy

Details Continuous or discrete attractors in neural circuits? A self-organized switch at maximal entropy Continuous or discrete attractors in neural circuits? A self-organized switch at maximal entropy

2007-07-24

arxiv.org/abs/0707.3511v2

Physics

Biological Physics

4 pages, 2 figures

Scientific paper

A recent experiment suggests that neural circuits may alternatively implement continuous or discrete attractors, depending on the training set up. In recurrent neural network models, continuous and discrete attractors are separately modeled by distinct forms of synaptic prescriptions (learning rules). Here, we report a solvable network model, endowed with Hebbian synaptic plasticity, which is able to learn either discrete or continuous attractors, depending on the frequency of presentation of stimuli and on the structure of sensory coding. A continuous attractor is learned when experience matches sensory coding, i.e. when the distribution of experienced stimuli matches the distribution of preferred stimuli of neurons. In that case, there is no processing of sensory information and neural activity displays maximal entropy. If experience goes beyond sensory coding, processing is initiated and the continuous attractor is destabilized into a set of discrete attractors.

Affiliated with

Also associated with

No associations

Rating

Continuous or discrete attractors in neural circuits? A self-organized switch at maximal entropy 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 Continuous or discrete attractors in neural circuits? A self-organized switch at maximal entropy, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Continuous or discrete attractors in neural circuits? A self-organized switch at maximal entropy will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-440153