Fast Computation with Neural Oscillators
神经元与认知
2007-05-23 v1
摘要
Artificial spike-based computation, inspired by models of computations in the central nervous system, may present significant performance advantages over traditional methods for specific types of large scale problems. In this paper, we study new models for two common instances of such computation, winner-take-all and coincidence detection. In both cases, very fast convergence is achieved independent of initial conditions, and network complexity is linear in the number of inputs.
引用
@article{arxiv.q-bio/0312025,
title = {Fast Computation with Neural Oscillators},
author = {Wei Wang and Jean-Jacques E. Slotine},
journal= {arXiv preprint arXiv:q-bio/0312025},
year = {2007}
}
备注
7 pages, 5 figures