A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Optimal spike-based communication in excitable networks with strong-sparse and weak-dense links
2012
Scientific Reports
The connectivity of complex networks and functional implications has been attracting much interest in many physical, biological and social systems. However, the significance of the weight distributions of network links remains largely unknown except for uniformly-or Gaussian-weighted links. Here, we show analytically and numerically, that recurrent neural networks can robustly generate internal noise optimal for spike transmission between neurons with the help of a long-tailed distribution in
doi:10.1038/srep00485
pmid:22761993
pmcid:PMC3387577
fatcat:izuf2su355abnmjbvkpkfnv3qu