Grid Cells Conductance-based Model

A conductance-based model of Grid cells, implemented using the NEURON simulator with parallelized functionality for efficient simulations. Grid cells are crucial for spatial navigation, and this model replicates their dynamics with biologically realistic conductances.

Key Features:

• Conductance-based implementation of Stellate cells and Inhibitory Interneurons of the medial entorhinal cortex.

• Parallelized Simulation: leveraging NEURON for multi-core simulations to handle large networks efficiently.

• User-Friendly Code: Clear structure with modular components for easy setup, modification, and analysis.

This project is hosted on: https://github.com/assisilab/GridCellsCond

Contents:

• Installation
  • Prerequisites
  • Installation with uv
  • Running a simulation
• Project Structure
  • Simulation setup
• Parameters
• Utility Functions
  • Simulation Utilities
  • Analysis Utilities
  • Predictive Analysis
  • Connectivity Utilities
  • Instrumentation Utilities

Cite

Shaikh Inayath, Assisi Collins (2025) Intrinsic and circuit mechanisms of predictive coding in a grid cell network model eLife 14:RP108142.

https://doi.org/10.7554/eLife.108142