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Cholinergic Neuromodulation Changes Phase Response Curve Shape and Type in Cortical Pyramidal Neurons

Overview of attention for article published in PLOS ONE, December 2008
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Title
Cholinergic Neuromodulation Changes Phase Response Curve Shape and Type in Cortical Pyramidal Neurons
Published in
PLOS ONE, December 2008
DOI 10.1371/journal.pone.0003947
Pubmed ID
Authors

Klaus M. Stiefel, Boris S. Gutkin, Terrence J. Sejnowski

Abstract

Spike generation in cortical neurons depends on the interplay between diverse intrinsic conductances. The phase response curve (PRC) is a measure of the spike time shift caused by perturbations of the membrane potential as a function of the phase of the spike cycle of a neuron. Near the rheobase, purely positive (type I) phase-response curves are associated with an onset of repetitive firing through a saddle-node bifurcation, whereas biphasic (type II) phase-response curves point towards a transition based on a Hopf-Andronov bifurcation. In recordings from layer 2/3 pyramidal neurons in cortical slices, cholinergic action, consistent with down-regulation of slow voltage-dependent potassium currents such as the M-current, switched the PRC from type II to type I. This is the first report showing that cholinergic neuromodulation may cause a qualitative switch in the PRCs type implying a change in the fundamental dynamical mechanism of spike generation.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 3%
Germany 4 3%
United States 4 3%
France 2 1%
Brazil 1 <1%
Sweden 1 <1%
Australia 1 <1%
Canada 1 <1%
Netherlands 1 <1%
Other 2 1%
Unknown 134 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 29%
Researcher 36 23%
Student > Master 12 8%
Professor > Associate Professor 11 7%
Professor 9 6%
Other 26 17%
Unknown 17 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 34%
Neuroscience 31 20%
Physics and Astronomy 16 10%
Engineering 13 8%
Computer Science 7 4%
Other 15 10%
Unknown 21 13%