Hippocampus Python Packages

replay-trajectory-classification

State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data

replay-classification

State space models for categorization of replay content from multiunit spiking activity. Deng et al. 2016

ratinabox

A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.

replay-identification

A semi-latent state-space model that combines movement, LFP, and ensemble spiking information to identify periods of replay and decode its content in real time. Long Tao et al., unpublished.

crashs

CRASHS: Cortical Reconstruction for Automatic Segmentation of Hippocampal Subfields (ASHS)

freesurfer-volume-reader

Python script & library to read hippocampal volumes computed by Freesurfer & ASHS

hippunfold

Snakemake BIDS app for hippocampal unfolding & subfield segmentation

spymem

An open-source package that offer fully-functional spike-based bio-inspired hippocampal memory models implemented with SNN technology in the SpiNNaker hardware in Python