Information filtering in resonant neurons
type: Item
instance of: scholarly article
title: Information filtering in resonant neurons
zbMATH Open document ID: 1382.92041
author: Sven Blankenburg
author: Wei Wu
author: Benjamin Lindner
author: Susanne Schreiber
published in: Journal of Computational Neuroscience
publication date: 2018-03-14T00:00:00Z
Mathematics Subject Classification ID: 92C20
zbMATH DE Number: 6849800
zbMATH Keywords: resonate-and-fire models
zbMATH Keywords: information filtering
zbMATH Keywords: frequency tuning
zbMATH Keywords: coherence function
zbMATH Keywords: static nonlinearity
Wikidata QID: Q47721410
describes a project that uses: FFTW
describes a project that uses: GSL
MaRDI profile type: Publication
full work available at URL: s10827-015-0580-6
OpenAlex ID: W2288992240
cites work: Q4395704
cites work: Higher-order implicit strong numerical schemes for stochastic differential equations
cites work: Mathematical Analysis of Random Noise
cites work: Q4397008
cites work: The Fokker-Planck equation. Methods of solution and applications
cites work: Assessing the performance of neural encoding models in the presence of noise
cites work: Frequency preference in two-dimensional neural models: a linear analysis of the interaction between resonant and amplifying currents
cites work: Information filtering by synchronous spikes in a neural population
DOI: 10.1007/S10827-015-0580-6
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description: scientific article; zbMATH DE number 6849800