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Correlated input spike trains and their effects on the response of the leaky integrate-and-fire neuron

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Publication:1851589
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DOI10.1016/S0925-2312(02)00372-7zbMath1007.68856MaRDI QIDQ1851589

Ad Aertsen, Stefan Rotter, Alexandre Kuhn

Publication date: 9 January 2003

Published in: Neurocomputing (Search for Journal in Brave)


zbMATH Keywords

CorrelationIntegrate-and-fireInput statisticsNeural coding


Mathematics Subject Classification ID

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


Related Items (6)

Self-Organizing Dual Coding Based on Spike-Time-Dependent Plasticity ⋮ A First-Order Nonhomogeneous Markov Model for the Response of Spiking Neurons Stimulated by Small Phase-Continuous Signals ⋮ Distinguishing the Causes of Firing with the Membrane Potential Slope ⋮ Conditional Mixture Model for Correlated Neuronal Spikes ⋮ Higher-Order Statistics of Input Ensembles and the Response of Simple Model Neurons ⋮ Methods for identification of spike patterns in massively parallel spike trains




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