ModelDB is moving. Check out our new site at The corresponding page is

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

 Download zip file 
Help downloading and running models
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.
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;
Gap Junctions:
Transmitter(s): Acetylcholine; Gaba; Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Activity Patterns; Epilepsy; Storage/recall;
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);

Loading data, please wait...