Neuroscience Methods Python Packages

cebra

Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA

neurolib

Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿‍🔬

rastermap

a visualization method for neural data

naplib

Tools and functions for neural data processing and analysis in python

asltk

A quick to use library to process images for MRI Arterial Spin Labeling imaging protocols.

brain-pred-toolbox

The Brain Predictability toolbox (BPt) is a Python based machine learning library designed to work with a range of neuroimaging data. Warning: Not actively maintained as of 11/30/22.

cubids

Curation of BIDS (CuBIDS): A sanity-preserving software package for processing BIDS datasets.

natmeeg

Library for processing and analyizing M/EEG data as recorded with naturalistic stimuli.

derotation

Derotate images acquired via multiphoton calcium imaging

axon-synthesis

A package to synthesize artificial axons

pygpso

Gaussian-Processes Surrogate Optimisation in python

photon-mosaic

Automating calcium imaging analysis

hnccorr

HNCcorr algorithm for neuron identification in calcium imaging datasets.

scikit-neuromsi

A generalized framework for multisensory integration modeling

pynamicgain

Creating Dynamic Gain inputs for Python-based patch clamp setups.

cubids-bond-fork

Curation of BIDS (CuBIDS): A sanity-preserving software package for processing BIDS datasets.

stiminterp

Photostimulation artifact removal via interpolation

braph

Brain Analysis using Graph Theory

nc-mcm-visualizer

This is a toolbox to analyze and interpret whole brain imaging data. It attempts to implement the NC-MCM framework in an easy access Python package. It was created in the process of a MasterThesis.

ncmcm

This is a toolbox to analyze and interpret whole brain imaging data. It attempts to implement the NC-MCM framework in an easy access Python package. It was created in the process of a MasterThesis.