Role for short term plasticity and OLM cells in containing spread of excitation (Hummos et al 2014)

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Accession:168314
This hippocampus model was developed by matching experimental data, including neuronal behavior, synaptic current dynamics, network spatial connectivity patterns, and short-term synaptic plasticity. Furthermore, it was constrained to perform pattern completion and separation under the effects of acetylcholine. The model was then used to investigate the role of short-term synaptic depression at the recurrent synapses in CA3, and inhibition by basket cell (BC) interneurons and oriens lacunosum-moleculare (OLM) interneurons in containing the unstable spread of excitatory activity in the network.
References:
1 . Hummos A, Franklin CC, Nair SS (2014) Intrinsic mechanisms stabilize encoding and retrieval circuits differentially in a hippocampal network model. Hippocampus 24:1430-48 [PubMed]
2 . Hummos A, Nair SS (2017) An integrative model of the intrinsic hippocampal theta rhythm. PLoS One 12:e0182648 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Hippocampus;
Cell Type(s): Dentate gyrus granule GLU cell; Hippocampus CA3 pyramidal GLU cell; Hippocampus CA3 interneuron basket GABA cell; Hippocampus CA3 stratum oriens lacunosum-moleculare interneuron; Abstract Izhikevich neuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s): Acetylcholine; Gaba; Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Activity Patterns; Epilepsy; Storage/recall;
Implementer(s):
Search NeuronDB for information about:  Dentate gyrus granule GLU cell; Hippocampus CA3 pyramidal GLU cell; Hippocampus CA3 interneuron basket GABA cell; Acetylcholine; Gaba; Glutamate;
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)
    col = get(hl(il), 'color');
    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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