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

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 Type: Connectionist Network

Region(s) or Organism(s): Entorhinal cortex

Model Concept(s): STDP; Synaptic Plasticity; Learning; Grid cell

Simulation Environment: Python

References:

D'Albis T, Kempter R. (2017). A single-cell spiking model for the origin of grid-cell patterns. PLoS computational biology. 13 [PubMed]