Quorum Percolation in Living Neural Networks

Details Quorum Percolation in Living Neural Networks Quorum Percolation in Living Neural Networks

2010-07-29

arxiv.org/abs/1007.5143v1

O. Cohen et al 2010 EPL 89 18008

Physics

Condensed Matter

Disordered Systems and Neural Networks

87.19.L-: Neuroscience 87.19.ll: Models of single neurons and networks 64.60.ah: Percolation http://iopscience.iop.org/0295-50

Scientific paper

10.1209/0295-5075/89/18008

Cooperative effects in neural networks appear because a neuron fires only if a minimal number $m$ of its inputs are excited. The multiple inputs requirement leads to a percolation model termed {\it quorum percolation}. The connectivity undergoes a phase transition as $m$ grows, from a network--spanning cluster at low $m$ to a set of disconnected clusters above a critical $m$. Both numerical simulations and the model reproduce the experimental results well. This allows a robust quantification of biologically relevant quantities such as the average connectivity $\kbar$ and the distribution of connections $p_k$

Affiliated with

Also associated with

No associations

Rating

Quorum Percolation in Living 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 Quorum Percolation in Living Neural Networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Quorum Percolation in Living Neural Networks will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-450859