148 Open source projects that are alternatives of or similar to stringer-pachitariu-et-al-2018a

EPFL summaries & cheatsheets over 5 years (computer science, communication systems, data science and computational neuroscience).

A Python interface for ABF files

cell detection in calcium imaging recordings

MNE-CPP: A Framework for Electrophysiology

Preparatory Materials, Self-guided Learning, and Project Management for Neuromatch Academy activities

A Collection Python EEG (+ ECG) Analysis Utilities for OpenBCI and Muse

A fullstack javascript app for capturing and visualizing OpenBCI EEG data

CS198-96: Intro to Neurotechnology @ UC Berkeley

Temporal Network Tools

NEURON Simulator

An R package for experimental psychologists

A Python library for creating and simulating large-scale brain models

Graphical experiment builder for the social sciences

Connectome Workbench

A list of schools and researchers in computational neuroscience

Biologically-realistic recurrent convolutional neural networks

ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. A graphical user interface makes it easy for beginners to learn, and Matlab scripting provides enormous power for intermediate and advanced users.

A multi-dimensional embedding algorithm

A toolbox for integrated information theory.

PyTorch Connectomics: segmentation toolbox for EM connectomics

Blue Brain Python Optimisation Library

A motor unit based model of skeletal muscle and fatigue

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

Automated mouse atlas propagation

Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.

python implementations of Analyzing Neural Time Series Textbook

Brian is a free, open source simulator for spiking neural networks.

Distributed, Versioned, Image-oriented Dataservice

Python-based module for extracting from, converting between, and interfacing with many common file formats in extracellular recording.

Visualizer for large-scale and interactive ray-tracing of neurons

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

A multi-purpose GPU-accelerated open-source suite for brain data visualization

Platform-independent lightweight Python library for designing and conducting timing-critical behavioural and neuroimaging experiments

🕝 Time-warped principal components analysis (twPCA)

Core tools required for running Canlab Matlab toolboxes. The heart of this toolbox is object-oriented tools that enable interactive analysis of neuroimaging data and simple scripts using high-level commands tailored to neuroimaging analysis.

BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

Inner ear models for Python

Mother of All BCI Benchmarks

Nengo interactive visualizer

Parameterizing neural power spectra into periodic & aperiodic components.

A publicly-editable collection of open science resources, including tools, datasets, meta-resources, etc.

Deep learning integration for Nengo

Fast and scalable spike sorting in python

Fast spike sorting with drift correction for up to a thousand channels

Real-time position tracker for behavioral research

Generate custom Docker and Singularity images, and minimize existing containers

For running psychology and neuroscience experiments

EntroPy: complexity of time-series in Python (DEPRECATED)

The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.

A publicly-editable collection of open computational neuroscience resources

ONI-compatible hardware, firmware, and host APIs for advanced neuroscience experiments.

Collaborative Annotation Toolkit for Massive Amounts of Image Data

A curated list of awesome neuroscience libraries, software and any content related to the domain.

a python based software for visualization of neuroanatomical and morphological data.

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

Precision current source, with optional optical feedback, for driving LEDs and laser diodes

The PyTorch Implementation of Variable Optimizers/ Neural Variable Risk Minimization proposed in our Neural Computation paper: Artificial Neural Variability for Deep Learning: On overfitting, Noise Memorization, and Catastrophic Forgetting.

Brain Imaging Analysis Kit

Brain Modeling Toolkit

TAPAS - Translational Algorithms for Psychiatry-Advancing Science