158 Open source projects that are alternatives of or similar to CCN_Association

An Awesome List of Cognitive Science Resources

A block modeling system for cognitive neuroscience

Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data

Brain Dynamics Programming in Python

Go implementation of Leabra algorithm for biologically-based models of cognition, based on emergent framework (with Python interface)

A virtual optogenetics laboratory

A package for data-driven validation of neuron and ion channel models using SciUnit

A brian2 extension to simulate spiking neural networks on GPUs

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

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

Collaborative Annotation Toolkit for Massive Amounts of Image Data

Parameterizing neural power spectra into periodic & aperiodic components.

A publicly-editable collection of open computational neuroscience resources

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

Recordings of 10k neurons during spontaneous behaviors

Mother of All BCI Benchmarks

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

python implementations of Analyzing Neural Time Series Textbook

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

C++ library for simulation of multiscale neural field dynamics

Deep learning integration for Nengo

Generate custom Docker and Singularity images, and minimize existing containers

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

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

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

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.

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 toolbox for integrated information theory.

cell detection in calcium imaging recordings

CellExplorer is a graphical user interface, a standardized processing module and data structure for exploring and classifying single cells acquired using extracellular electrodes.

Blue Brain Python Optimisation Library

Brain Imaging Analysis Kit

NEURON Simulator

Python library for easy creation and running of spiking neural networks in tensorflow.

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

A list of schools and researchers in computational neuroscience

TAPAS - Translational Algorithms for Psychiatry-Advancing Science

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

An R package for experimental psychologists

CS198-96: Intro to Neurotechnology @ UC Berkeley

MNE-CPP: A Framework for Electrophysiology

code for storing neurodata images and image annotations

Connectome Workbench

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

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

Computational Neuroscience Crash Course (CNCC 2019)

Brain Modeling Toolkit

Biologically-realistic recurrent convolutional neural networks

Inner ear models for Python

A fullstack javascript app for capturing and visualizing OpenBCI EEG data

Python machine learning package based on sklearn API for multivariate data processing and statistical analysis of symmetric positive definite matrices via Riemannian geometry

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.

Distributed, Versioned, Image-oriented Dataservice

Nengo interactive visualizer

A multi-dimensional embedding algorithm

Graphical experiment builder for the social sciences

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

A Python interface for ABF files

🕝 Time-warped principal components analysis (twPCA)

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