Research Output
Stochastic resonance and finite resolution in a network of leaky integrate-and-fire neurons
  This paper discusses the effect of stochastic resonance in a network of leaky integrate-and-fire (LIF) neurons and investigates its realisation on a Field Programmable Gate Array (FPGA). We report in this study that stochastic resonance which is mainly associated with floating point implementations is possible in both a single LIF neuron and a network of LIF neurons implemented on lower resolution integer based digital hardware. We also report that such a network can improve the signal-to-noise ratio (SNR) of the output over a single LIF neuron.

  • Date:

    21 August 2002

  • Publication Status:

    Published

  • DOI:

    10.1007/3-540-46084-5_20

  • Funders:

    Historic Funder (pre-Worktribe)

Citation

Mtetwa, N., Smith, L., & Hussain, A. (2002). Stochastic resonance and finite resolution in a network of leaky integrate-and-fire neurons. In Artificial Neural Networks — ICANN 2002. , (117-122). https://doi.org/10.1007/3-540-46084-5_20

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