Dentate Gyrus model including Granule cells with dendritic compartments (Chavlis et al 2017)

Here we investigate the role of dentate granule cell dendrites in pattern separation. The model consists of point neurons (Integrate and fire) and in principal neurons, the granule cells, we have incorporated various number of dendrites.

Model Type: Dendrite; Realistic Network

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

Cell Type(s): Dentate gyrus granule GLU cell; Dentate gyrus basket cell; Dentate gyrus mossy cell; Abstract integrate-and-fire adaptive exponential (AdEx) neuron; Abstract integrate-and-fire leaky neuron; Dentate gyrus HIPP cell

Receptors: AMPA; GabaA; NMDA

Model Concept(s): Pattern Separation

Simulation Environment: Brian; Python

Implementer(s): Chavlis, Spyridon [schavlis at imbb.forth.gr]; Petrantonakis, Panagiotis C. ; Poirazi, Panayiota [poirazi at imbb.forth.gr]

References:

Chavlis S, Petrantonakis PC, Poirazi P. (2017). Dendrites of dentate gyrus granule cells contribute to pattern separation by controlling sparsity. Hippocampus. 27 [PubMed]