BrainPharm: Computational model - A single-cell spiking model for the origin of grid-cell patterns (D'Albis & Kempter 2017)

Computational model

Data

Name

A single-cell spiking model for the origin of grid-cell patterns (D'Albis & Kempter 2017)

Submitter name

Tiziano D'Albis

Pipeline ID

Model File

grid_origin-master.zip [168169]

Notes

A single-cell spiking model explaining the formation of grid-cell pattern in a feed-forward network. Patterns emerge via spatially-tuned feedforward inputs, synaptic plasticity, and spike-rate adaptation.

Model Neurons

More Cells

Model Currents

Model Receptors

Model Type

Connectionist Network Show Other

Model Concept

STDP Show Other
Synaptic Plasticity Show Other
Learning Show Other
Grid cell Show Other

Simulator software

Python Show Other

Model papers

D'Albis T, Kempter R (2017) Show Other

Gene

hg folder name (applicable when in ModelDB hg)

Region Organism

Entorhinal cortex Show Other

Model ID Number

Gap Junctions

Implemented by

Public Submitter Email Address

tiziano.dalbis@gmail.com

Other Neuron

Model Neurotransmitters

Other Receptor

Other Current

Other Neurotransmitter

Other Model Type

Other Concept

Other Simulator

Other Implementer

Alternative Version

Citation

28968386

Default File Notes

Other Gene

Simulation Platform ID

Has Model View

False

Component

RAM

Hide Auto-launch button

False

Run Protocols

ICG Channel Details

Species

Other categories referring to A single-cell spiking model for the origin of grid-cell patterns (D'Albis & Kempter 2017)

Revisions:	5
Last Time:	3/3/2020 2:00:15 PM
Reviewer:	Tom Morse - MoldelDB admin
Owner:	Tom Morse - MoldelDB admin