Open software frameworks, platforms, data, and methods for neuroscience and beyond — building tools that make research more reproducible, collaborative, and accessible.
Directed by Prof. Yaroslav (Yarik) Halchenko · DartmouthThe Center for Open Neuroscience (CON) provides open software frameworks, platforms, data, and methodologies for neuroscience and beyond. Its mission is to make neuroscience research more reproducible, collaborative, and accessible — in short, to make neuroscience a better science.
CON's founding director is Yaroslav (Yarik) O. Halchenko, Research Professor of Psychological and Brain Sciences and Adjunct Professor of Computer Science at Dartmouth, and a Debian Developer. James V. Haxby serves as co-director.
CON develops and stewards a broad ecosystem of open tools for managing, sharing, converting, and analyzing neuroscience data.
A data management platform built on Git and git-annex for sharing and versioning data.
Distributed Archives for Neurophysiology Data Integration — publish, share, and process neurophysiology data.
A turnkey research software platform for the neuroscience research process.
A Python framework for multivariate pattern analysis and neural decoding.
A flexible DICOM converter that organizes brain imaging data into structured layouts.
A HeuDiConv-based setup for turnkey automatic BIDS conversion of collected MR data.
Improves citation and referencing of scientific software and methods.
Enables reproducible computation by collecting provenance on the components used.
A long-standing BRAIN Initiative archive for neuroimaging data.
Ecosystem for Multi-modal Brain-behavior Experimentation and Research — a BRAIN Initiative archive.
CON's work is woven directly into the Dartmouth Brain Imaging Center's reproducible data pipeline. Tools such as BIDS conversion and DataLad versioning underpin how every study collected at DBIC is organized, shared, and preserved — turning open-source software into everyday research infrastructure.
