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Main Title: How adaptation currents change threshold, gain, and variability of neuronal spiking
Author(s): Ladenbauer, Josef
Augustin, Moritz
Obermayer, Klaus
Type: Article
Language Code: en
Is Part Of: 10.14279/depositonce-6178
Abstract: Many types of neurons exhibit spike rate adaptation, mediated by intrinsic slow K+ currents, which effectively inhibit neuronal responses. How these adaptation currents change the relationship between in vivo like fluctuating synaptic input, spike rate output, and the spike train statistics, however, is not well understood. In this computational study we show that an adaptation current that primarily depends on the subthreshold membrane voltage changes the neuronal input-output relationship (I-O curve) subtractively, thereby increasing the response threshold, and decreases its slope (response gain) for low spike rates. A spike-dependent adaptation current alters the I-O curve divisively, thus reducing the response gain. Both types of an adaptation current naturally increase the mean interspike interval (ISI), but they can affect ISI variability in opposite ways. A subthreshold current always causes an increase of variability while a spike-triggered current decreases high variability caused by fluctuation-dominated inputs and increases low variability when the average input is large. The effects on I-O curves match those caused by synaptic inhibition in networks with asynchronous irregular activity, for which we find subtractive and divisive changes caused by external and recurrent inhibition, respectively. Synaptic inhibition, however, always increases the ISI variability. We analytically derive expressions for the I-O curve and ISI variability, which demonstrate the robustness of our results. Furthermore, we show how the biophysical parameters of slow K+ conductances contribute to the two different types of an adaptation current and find that Ca2+-activated K+ currents are effectively captured by a simple spike-dependent description, while muscarine-sensitive or Na+-activated K+ currents show a dominant subthreshold component.
Issue Date: 2014
Date Available: 25-Oct-2017
DDC Class: 500 Naturwissenschaften und Mathematik
Subject(s): adaptation
gain modulation
Hodgkin-Huxley-like model
integrate-and-fire model
spike train
Journal Title: Journal of neurophysiology
Publisher: American Physiological Society
Publisher Place: Bethesda, Md
Volume: 111
Issue: 5
Publisher DOI: 10.1152/jn.00586.2013
Page Start: 939
Page End: 953
EISSN: 1522-1598
Appears in Collections:FG Neuronale Informationsverarbeitung » Publications

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