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

DOI10.1162/089976603321192068zbMath1084.68733OpenAlexW2098472054WikidataQ48370400 ScholiaQ48370400MaRDI QIDQ4816921

Shawn Mikula, Ernst Niebur

Publication date: 14 September 2004

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/089976603321192068

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (6)

Estimating Parameters of Generalized Integrate-and-Fire Neurons from the Maximum Likelihood of Spike Trains ⋮ Dependence of Neuronal Correlations on Filter Characteristics and Marginal Spike Train Statistics ⋮ Exact Solutions for Rate and Synchrony in Recurrent Networks of Coincidence Detectors ⋮ Rate and Synchrony in Feedforward Networks of Coincidence Detectors: Analytical Solution ⋮ Generation of Synthetic Spike Trains with Defined Pairwise Correlations ⋮ Synaptic Depression Leads to Nonmonotonic Frequency Dependence in the Coincidence Detector

Cites Work

• Correlation Between Uncoupled Conductance-Based Integrate-and-Fire Neurons Due to Common and Synchronous Presynaptic Firing
• Attractor Reliability Reveals Deterministic Structure in Neuronal Spike Trains

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