180 Open source projects that are alternatives of or similar to Dcm2Bids

MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.

Graph theory analysis of brain MRI data

dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

medical image visualization library and development toolkit

Brain Imaging Analysis Kit

The open source toolbox for reproducible diffusion MRI-based microstructure estimation

NeuroInformatics Database

Public release of The Cole-Anticevic Brain-wide Network Partition (CAB-NP)

MATLAB / Octave tools for BIDS datasets

VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.

fmriflows is a consortium of many (dependent) fMRI analysis pipelines, including anatomical and functional pre-processing, univariate 1st and 2nd-level analysis, as well as multivariate pattern analysis.

Core methods and structures for neuroscience research in Julia.

The MATLAB toolbox for MEG, EEG and iEEG analysis

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Method container for computational neuroscience on brains.

A set of BIDS compatible datasets with empty raw data files that can be used for writing lightweight software tests.

BIDScoin converts your source-level neuroimaging data to BIDS

Multi-modal Image Registration And Connectivity anaLysis

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

MATLAB/Octave GIfTI Library

A block modeling system for cognitive neuroscience

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A Python-based module for creating flexible and robust spike sorting pipelines.

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Deep learning in a spiking neural network using segregated dendrites.

Brain Dynamics Programming in Python

A brian2 extension to simulate spiking neural networks on GPUs

The NeuroMorph analysis and visualization toolkit

Python-based module with spike sorter wrappers and a simple API for running them.

The Arbor multi-compartment neural network simulation library.

Python 3 library for analysis of neuroanatomical data

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

code for storing neurodata images and image annotations

Framework for the reproducible processing of neuroimaging data with deep learning methods

C++ library for simulation of multiscale neural field dynamics

The ENIGMA Toolbox is an open-source repository for accessing 100+ ENIGMA statistical maps, visualizing cortical and subcortical surface data, and relating neuroimaging findings to micro- and macroscale brain organization. 🤠

Dynamic Time Warping in Python / C (using ctypes)

A Parametric Framework to Generate Visual Illusions using Python

Automated 3D brain registration with support for multiple species and atlases.

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

Recordings of 10k neurons during spontaneous behaviors

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

🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python 🧠🔧

dMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

Deep learning integration for Nengo

Data and example scripts used in the paper `Inferring hidden structure in multilayered neural circuits`

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.

Code related to Neuroimaging Analysis Replication and Prediction Study

Database for experimental neuroscience laboratories

🕝 Time-warped principal components analysis (twPCA)

A framework for developing neural network models for 3D image processing.

Curate, visualize, annotate, and share your behavioral ephys data using Python

Fast Whole Brain Segmentation (Layers, codes and Pre-trained Models)

A toolbox for integrated information theory.

An Awesome List of Cognitive Science Resources

A publicly-editable collection of open computational neuroscience resources

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

Utility functions for working with DICOM and BIDS neuroimaging data

NEURON User Interface

TubeTK is an open-source toolkit for the segmentation, registration, and analysis of tubes and surfaces in images, developed by Kitware, Inc.