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Dentate Gyrus Feed-forward inhibition (Ferrante et al. 2009)
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Accession:
124291
In this paper, the model was used to show how that FFI can change a steeply sigmoidal input-output (I/O) curve into a double-sigmoid typical of buffer systems.
Reference:
1 .
Ferrante M, Migliore M, Ascoli GA (2009) Feed-forward inhibition as a buffer of the neuronal input-output relation.
Proc Natl Acad Sci U S A
106
:18004-9
[
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:
Dentate gyrus;
Cell Type(s):
Dentate gyrus granule GLU cell;
Dentate gyrus MOPP cell;
Channel(s):
I Na,t;
I A;
I K;
Gap Junctions:
Receptor(s):
GabaA;
AMPA;
NMDA;
Gene(s):
Transmitter(s):
Gaba;
Glutamate;
Simulation Environment:
NEURON;
Model Concept(s):
Action Potential Initiation;
Activity Patterns;
Ion Channel Kinetics;
Synchronization;
Spatio-temporal Activity Patterns;
Action Potentials;
Noise Sensitivity;
Implementer(s):
Migliore, Michele [Michele.Migliore at Yale.edu];
Ferrante, Michele [mferr133 at bu.edu];
Ascoli, Giorgio A [ascoli at gmu.edu];
Search NeuronDB
for information about:
Dentate gyrus granule GLU cell
;
GabaA
;
AMPA
;
NMDA
;
I Na,t
;
I A
;
I K
;
Gaba
;
Glutamate
;
Download the displayed file
/
FFI
MOPP_Fig_1B_left
ichan2.mod
*
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Fig_1B_left.hoc
fixnseg.hoc
*
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load_file("Fig_1B_left.hoc")
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