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

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.

Model Type: Realistic Network; Neuron or other electrically excitable cell

Region(s) or Organism(s): Dentate gyrus

Cell Type(s): Dentate gyrus granule GLU cell; Dentate gyrus MOPP cell

Currents: I Na,t; I A; I K

Receptors: GabaA; AMPA; NMDA

Transmitters: Gaba; Glutamate

Model Concept(s): Action Potential Initiation; Activity Patterns; Ion Channel Kinetics; Synchronization; Spatio-temporal Activity Patterns; Action Potentials; Noise Sensitivity

Simulation Environment: NEURON

Implementer(s): Migliore, Michele [Michele.Migliore at Yale.edu]; Ferrante, Michele [mferr133 at bu.edu]; Ascoli, Giorgio A [ascoli at gmu.edu]

References:

Ferrante M, Migliore M, Ascoli GA. (2009). Feed-forward inhibition as a buffer of the neuronal input-output relation. Proceedings of the National Academy of Sciences of the United States of America. 106 [PubMed]