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Purkinje neuron network (Zang et al. 2020)

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Accession:266799
Both spike rate and timing can transmit information in the brain. Phase response curves (PRCs) quantify how a neuron transforms input to output by spike timing. PRCs exhibit strong firing-rate adaptation, but its mechanism and relevance for network output are poorly understood. Using our Purkinje cell (PC) model we demonstrate that the rate adaptation is caused by rate-dependent subthreshold membrane potentials efficiently regulating the activation of Na+ channels. Then we use a realistic PC network model to examine how rate-dependent responses synchronize spikes in the scenario of reciprocal inhibition-caused high-frequency oscillations. The changes in PRC cause oscillations and spike correlations only at high firing rates. The causal role of the PRC is confirmed using a simpler coupled oscillator network model. This mechanism enables transient oscillations between fast-spiking neurons that thereby form PC assemblies. Our work demonstrates that rate adaptation of PRCs can spatio-temporally organize the PC input to cerebellar nuclei.
Reference:
1 . Zang Y, Hong S, De Schutter E (2020) Firing rate-dependent phase responses of Purkinje cells support transient oscillations. Elife [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell; Realistic Network;
Brain Region(s)/Organism: Cerebellum;
Cell Type(s): Cerebellum Purkinje GABA cell;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON; MATLAB;
Model Concept(s): Phase Response Curves; Action Potentials; Spatio-temporal Activity Patterns; Synchronization; Action Potential Initiation; Oscillations;
Implementer(s): Zang, Yunliang ; Hong, Sungho [shhong at oist.jp];
Search NeuronDB for information about:  Cerebellum Purkinje GABA cell; 
function hnew = outlinebounds(hl, hp)
%OUTLINEBOUNDS Outline the patch of a boundedline
%
% hnew = outlinebounds(hl, hp)
%
% This function adds an outline to the patch objects created by
% boundedline, matching the color of the central line associated with each
% patch.
%
% Input variables:
%
%   hl:     handles to line objects from boundedline
%
%   hp:     handles to patch objects from boundedline
%
% Output variables:
%
%   hnew:   handle to new line objects

% Copyright 2012 Kelly Kearney


hnew = zeros(size(hl));
for il = 1:length(hp)
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    xy = get(hp(il), {'xdata','ydata'});
    ax = ancestor(hl(il), 'axes');
    
    hnew(il) = line(xy{1}, xy{2}, 'parent', ax, 'linestyle', '-', 'color', col);
end

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