Advanced search
User account
Login
Register
Find models by
Model name
First author
Each author
Find models for
Brain region
Concept
Find models of
Realistic Microcircuits
Connectionist Networks
Dentate Gyrus model including Granule cells with dendritic compartments (Chavlis et al 2017)
 
Download zip file
Help downloading and running models
Model Information
Model File
Versions
Accession:
206372
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.
Reference:
1 .
Chavlis S, Petrantonakis PC, Poirazi P (2017) Dendrites of dentate gyrus granule cells contribute to pattern separation by controlling sparsity.
Hippocampus
27
:89-110
[
PubMed
]
Citations
Citation Browser
Model Information
(Click on a link to find other models with that property)
Model Type:
Dendrite;
Realistic Network;
Brain Region(s)/Organism:
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;
Channel(s):
Gap Junctions:
Receptor(s):
AMPA;
GabaA;
NMDA;
Gene(s):
Transmitter(s):
Simulation Environment:
Brian;
Python;
Model Concept(s):
Pattern Separation;
Implementer(s):
Chavlis, Spyridon [schavlis at imbb.forth.gr];
Petrantonakis, Panagiotis C. ;
Poirazi, Panayiota [poirazi at imbb.forth.gr];
Search NeuronDB
for information about:
Dentate gyrus granule GLU cell
;
GabaA
;
AMPA
;
NMDA
;
/
ChavlisEtAl2017
File not selected
<- Select file from this column.