The Effects of Input Rate and Synchrony on a Coincidence Detector: Analytical Solution

Abstract

We derive analytically the solution for the output rate of the ideal coincidence detector. The solution is for an arbitrary number of input spike trains with identical binomial count distributions (which includes Poisson statistics as a special case) and identical arbitrary pairwise cross-correlations, from zero correlation (independent processes) to complete correlation (identical processes).

Cite

Text

Mikula and Niebur. "The Effects of Input Rate and Synchrony on a Coincidence Detector: Analytical Solution." Neural Computation, 2003. doi:10.1162/089976603321192068

Markdown

[Mikula and Niebur. "The Effects of Input Rate and Synchrony on a Coincidence Detector: Analytical Solution." Neural Computation, 2003.](https://mlanthology.org/neco/2003/mikula2003neco-effects/) doi:10.1162/089976603321192068

BibTeX

@article{mikula2003neco-effects,
  title     = {{The Effects of Input Rate and Synchrony on a Coincidence Detector: Analytical Solution}},
  author    = {Mikula, Shawn and Niebur, Ernst},
  journal   = {Neural Computation},
  year      = {2003},
  pages     = {539-547},
  doi       = {10.1162/089976603321192068},
  volume    = {15},
  url       = {https://mlanthology.org/neco/2003/mikula2003neco-effects/}
}