Information filtering in resonant neurons

DOI10.1007/S10827-015-0580-6zbMath1382.92041OpenAlexW2288992240WikidataQ47721410 ScholiaQ47721410MaRDI QIDQ1704946

Susanne Schreiber, Sven Blankenburg, Benjamin Lindner, Wei Wu

Publication date: 14 March 2018

Published in: Journal of Computational Neuroscience (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10827-015-0580-6

zbMATH Keywords

information filteringstatic nonlinearitycoherence functionfrequency tuningresonate-and-fire models

Mathematics Subject Classification ID

Neural biology (92C20)

Related Items (4)

The effect of positive interspike interval correlations on neuronal information transmission ⋮ Information filtering by coincidence detection of synchronous population output: analytical approaches to the coherence function of a two-stage neural system ⋮ How to correctly quantify neuronal phase-response curves from noisy recordings ⋮ Synchronization of Electrically Coupled Resonate-and-Fire Neurons

Uses Software

• FFTW
• GSL

Cites Work

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• Information filtering by synchronous spikes in a neural population
• The Fokker-Planck equation. Methods of solution and applications
• Higher-order implicit strong numerical schemes for stochastic differential equations
• Assessing the performance of neural encoding models in the presence of noise
• Frequency preference in two-dimensional neural models: a linear analysis of the interaction between resonant and amplifying currents
• Mathematical Analysis of Random Noise

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