Adjusting stochastic resonance in a leaky integrate and fire neuron to sub-threshold stimulus distributions

DOI10.1016/S0925-2312(02)00437-XzbMath1007.68888MaRDI QIDQ1851615

Gregor Wenning, Klaus Obermayer

Publication date: 9 January 2003

Published in: Neurocomputing (Search for Journal in Brave)

zbMATH Keywords

Stochastic resonanceAdaptationEscape rate Ansatz

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural biology (92C20) Computing methodologies and applications (68U99)

Related Items (4)

A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties ⋮ Modeling electromagnetic fields detectability in a HH-like neuronal system: stochastic resonance and window behavior ⋮ Integrator or Coincidence Detector: A Novel Measure Based on the Discrete Reverse Correlation to Determine a Neuron’s Operational Mode ⋮ A neuron model of stochastic resonance using rectangular pulse trains

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