How adaptation makes low firing rates robust
type: Item
instance of: scholarly article
title: How adaptation makes low firing rates robust
zbMATH Open document ID: 1395.92047
author: Arthur Sherman
author: Joon-Ho Ha
published in: The Journal of Mathematical Neuroscience
publication date: 2018-07-24T00:00:00Z
Mathematics Subject Classification ID: 92C20
Mathematics Subject Classification ID: 37G10
zbMATH DE Number: 6909817
zbMATH Keywords: adaptation
zbMATH Keywords: SNIC bifurcation
zbMATH Keywords: firing rate
describes a project that uses: darch
MaRDI profile type: Publication
full work available at URL: s13408-017-0047-3
OpenAlex ID: W2652019190
Wikidata QID: Q33830805
cites work: Mathematical foundations of neuroscience
cites work: The potassium A-current, low firing rates and rebound excitation in Hodgkin-Huxley models
cites work: A Universal Model for Spike-Frequency Adaptation
cites work: Reduction of conductance-based neuron models
cites work: Topological and phenomenological classification of bursting oscillations
cites work: Reducing the Dimensionality of Data with Neural Networks
cites work: Feedback Loops Shape Cellular Signals in Space and Time
DOI: 10.1186/S13408-017-0047-3
description: scientific article; zbMATH DE number 6909817