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Distal inhibitory control of sensory-evoked excitation (Egger, Schmitt et al. 2015)
 
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Model Information
Model File
Citations
Accession:
167499
Model of a cortical layer (L) 2 pyramidal neuron embedded in an anatomically realistic network of two barrel columns in rat vibrissal cortex. This model is used to investigate the effects of spatially and temporally specific inhibition from L1 inhibitory interneurons on the sensory-evoked subthreshold responses of the L2 pyramidal neuron, and can be used to create simulation results underlying Figures 3D, 4B, 4C and 4E from (Egger, Schmitt et al. 2015).
Reference:
1 .
Egger R, Schmitt AC, Wallace DJ, Sakmann B, Oberlaender M, Kerr JN (2015) Robustness of sensory-evoked excitation is increased by inhibitory inputs to distal apical tuft dendrites.
Proc Natl Acad Sci U S A
112
:14072-7
[
PubMed
]
Model Information
(Click on a link to find other models with that property)
Model Type:
Realistic Network;
Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Neocortex;
Cell Type(s):
Neocortex L2/3 pyramidal GLU cell;
Channel(s):
Gap Junctions:
Receptor(s):
GabaA;
AMPA;
NMDA;
Gene(s):
Transmitter(s):
Gaba;
Glutamate;
Simulation Environment:
NEURON;
Python;
Model Concept(s):
Active Dendrites;
Synaptic Integration;
Sensory processing;
Whisking;
Implementer(s):
Egger, Robert [robert.egger at nyumc.org];
Search NeuronDB
for information about:
Neocortex L2/3 pyramidal GLU cell
;
GabaA
;
AMPA
;
NMDA
;
Gaba
;
Glutamate
;
/
EggerSchmittEtAl
network_model_ensemble
analysis
Figure3D
Figure4B
Figure4C_1
Figure4C_2
Figure4C_3
Figure4C_4
Figure4E_1
Figure4E_2
evoked_activity.py
evoked_activity_ex_no_variability.py
evoked_activity_inh_conductances.py
evoked_activity_inh_no_variability.py
evoked_activity_replay_dend_rec.py
pythonpath.sh
run_Figure3D.sh
run_Figure4B.sh
run_Figure4C_1.sh
run_Figure4C_2.sh
run_Figure4C_2_parallel1.sh
run_Figure4C_2_parallel2.sh
run_Figure4C_3.sh
run_Figure4C_4.sh
run_Figure4E_1.sh
run_Figure4E_2.sh
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