Hippocampus Python Packages

replay-trajectory-classification

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

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 Long Tao et al., unpublished.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)

cortexm

Deterministic agent memory. μ=0. Free, local, forever. Mem0-compatible.

subcortexmesh

A python toolbox for automated conversion of subcortical segmentation volumes to surface meshes and computation of vertex-wise metrics

context-m-langchain

Deterministic agent memory. μ=0. Free, local, forever. Mem0-compatible.

replay-classification

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

freesurfer-volume-reader

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

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

hippunfold

BIDS App for Hippunfold (automated hippocampal unfolding and subfield segmentation)

synapchart

Visual pipeline builder for neuroscience data analysis - drag-and-drop EEG/LFP and spike-train pipelines. Open source, pip-installable.