Dentate Gyrus Feed-forward inhibition (Ferrante et al. 2009)

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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.
1 . Ferrante M, Migliore M, Ascoli GA (2009) Feed-forward inhibition as a buffer of the neuronal input-output relation PNAS 106(42):18004-18009
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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 cell; Dentate gyrus MOPP cell;
Channel(s): I Na,t; I A; I K;
Gap Junctions:
Receptor(s): GabaA; AMPA; NMDA;
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]; Ferrante, Michele [mferr133 at]; Ascoli, Giorgio A [ascoli at];
Search NeuronDB for information about:  Dentate gyrus granule cell; GabaA; AMPA; NMDA; I Na,t; I A; I K; Gaba; Glutamate;