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Spike frequency adaptation in the LGMD (Peron and Gabbiani 2009)
 
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Model Information
Model File
Accession:
116945
This model is used in the referenced paper to demonstrate that a model of an SK-like calcium-sensitive potassium (KCa) conductance can replicate the spike frequency adaptation (SFA) of the locust lobula giant movement detector (LGMD) neuron. The model simulates current injection experiments with and without KCa block in the LGMD, as well as visual stimulation experiments with and without KCa block.
Reference:
1 .
Peron S, Gabbiani F (2009) Spike frequency adaptation mediates looming stimulus selectivity in a collision-detecting neuron.
Nat Neurosci
12
:318-26
[
PubMed
]
Citations
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Model Information
(Click on a link to find other models with that property)
Model Type:
Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cell Type(s):
Locust Lobula Giant Movement Detector (LGMD) neuron;
Channel(s):
I Na,t;
I K,Ca;
I Calcium;
I Krp;
Gap Junctions:
Receptor(s):
GabaA;
Cholinergic Receptors;
Gene(s):
Transmitter(s):
Simulation Environment:
MATLAB;
Model Concept(s):
Spike Frequency Adaptation;
Vision;
Implementer(s):
Gabbiani, F;
Peron, Simon [perons at janelia.hhmi.org];
Search NeuronDB
for information about:
GabaA
;
Cholinergic Receptors
;
I Na,t
;
I K,Ca
;
I Calcium
;
I Krp
;
Download the displayed file
/
modeldb_peron_gabbiani_nn
nn_par_mat
nn_par_out
readme.txt
acute_synmap.mat
*
Other models using acute_synmap.mat:
LGMD Variability and logarithmic compression in dendrites (Jones and Gabbiani, 2012, 2012B)
LGMD Variability and logarithmic compression in dendrites (Jones and Gabbiani, 2012, 2012B)
daemon.m
generate.m
generate_simulations.m
get_curinj_pattern.m
get_curinj_vec.m
get_general_model_settings.m
get_inst_freq.m
get_spikes.m
get_synaptic_noise.m
get_synaptic_pattern.m
nn_par_model.sh
plot_nn_sims.m
three_cmpt.m
uniform_synmap.mat
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