ca1

Code for analysis on data from Jadhav et al. 2016

CA1 model repository

A fully-functional sparse-learning spike-based bio-inspired hippocampal memory model implemented with SNN technology in the SpiNNaker hardware

This repository demonstrates an application of the currentscape method to in vivo-like biophysical simulations of hippocampal CA1 neurons. The analysis visualizes how membrane currents distributed across dendritic compartments contribute to somatic activity during simulated place field traversals.

This repo contains the reorganised research codebase for LC-CA1 electrophysiology, behaviour, two-photon imaging, optogenetics, and computational modelling

Python code to analyze data and create figures for the manuscript "Graded Remapping of Hippocampal Ensembles under Sensory Conflicts"

This project simulates synaptic input integration of oblique dendrites in a CA1 pyramidal neuron model.

This project replicates the intracellular current injection experiments from Bittner et al., 2015, Fig. 6a, demonstrating plateau potential initiation in CA1 pyramidal neurons through direct somatic stimulation.

This repository demonstrates an extension of the currentscape method for analyzing the contributions of individual membrane currents to somatic responses in spatially extended biophysical neuron models.

This repository performs automated parameter optimization to maximize calcium Ca2+ influx in the trunk of a CA1 pyramidal neuron model while minimizing calcium influx in oblique dendrites, using the Optuna framework for hyperparameter tuning.

CA1 model repository

Computational analysis of hippocampal CA1 circuit electrophysiology — cell morphology clustering, synaptic property comparisons, and histological position mapping from wet-lab recordings