Adjusting stochastic resonance in a leaky integrate and fire neuron to sub-threshold stimulus distributions
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Publication:1851615
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)
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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