







Welcome to the Open MEG Archive (OMEGA) The Open MEG Archive (OMEGA) is the fruit of a collaboration between the McConnell Brain Imaging Centre (BIC) of the Montreal Neurological Institute-Hospital
brainlife
The platform allows to analyze Magnetic Resonance Imaging (MRI), electroencephalography (EEG) and magnetoencephalography (MEG) data. Data can either be uploaded from local computers or imported from public archives such as OpenNeuro.org. Over 400+ data processing Apps are available on brainlife.io to build custom data workflows. Thousands of jobs can be submitted using shared clusters or on users' compute resource. Users can perform group-level statistical analysis or apply machine learning methods using Jupyter notebooks. A single record containing the entire data workflow (from raw data to published figures) can be published addressed by with a unique digital object identifier (DOI).
Cerca OPM-MEG Home
The Cerca OPM-MEG system is the world’s most advanced functional brain scanner – an integrated lightweight, ergonomic and wearable device that will offer an unparalleled window on human brain function, in health and disease.

OPM-MEG (Magnetoencephalography) | Brainbox
OPM-MEG (Optically Pumped Magnetometers- Magnetoencephalography (MEG) is a brand new non-invasive technology for imaging brain function in real-time with several advantages over traditional MEG
Cog Neuro Hub OPMEG Workshop
DANDI
DANDI: Distributed Archives for Neurophysiology Data Integration The DANDI platform is supported by the BRAIN Initiative for publishing, sharing, and processing neurophysiology data. The archive accepts cellular neurophysiology data including electrophysiology, optophysiology, and behavioral time-series, and images from immunostaining experiments. The platform is now available for data upload and distribution. The storage of data in the archive is also supported by the Amazon Opendata program. The data in the archive can be browsed using the Data Portal. For detailed instructions on how to interact (view, upload, download, process) with DANDI click here.
Project Overview ‹ NeuroDatasets Tool – MIT Media Lab
NeuroDatasets is tool, where one can browse and find all available neuroscience datasets for all major modalities: EEG, MRI, MEG, NIRS, PET and more. &nb…
Precision Medicine in Neuroscience: Tools, Translation, and Implementation: A Workshop
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#digitalbrainproject #neuroscience #artificialintelligence #openscience #callforprojects #research #ai #brain | Fondation Adolphe de Rothschild
The Rothschild Foundation Hospital is excited to launch the Digital Brain Project, a $5M collaborative research initiative to build an open source foundational model of the brain through open-access neural data. Apply by May 15th for up to $500k in funding. Help crack the neural code 👉digitalbrainproject.org Our objective is to develop a standardized, publicly available dataset of human brain recordings to accelerate fundamental research in cognitive neuroscience, AI system development, and clinical health. Our independent, multidisciplinary Scientific Committee oversees data collection, ethical review, privacy, and open science practices of our project — setting standards for large-scale brain research. The Digital Brain Project is conceived as an open collaborative infrastructure, at the intersection of neuroscience, artificial intelligence, and data science. It aims to accelerate data development, a key bottleneck to developing a foundational AI model of the human brain. Key Focus Areas: 1️⃣ Brain recording data related to visual processing, language functions and cognitive actions 2️⃣ Rigorous quality, privacy, and ethical control, along with procedures for standardizing data across sites 3️⃣ Support for teams selected by an international multidisciplinary Scientific Committee Call for applications: Research teams working in neuroscience, neuroimaging, or artificial intelligence are invited to submit their applications by May 15, 2026. Selected teams will receive up to $500k USD funding to support their work. We appreciate our Scientific Committee (Lune Bellec Anne-Marie Kermarrec Arthur Mensch Russell Poldrack Lucia Melloni Jose Alain Sahel) for their independent scientific leadership, and partners Université de Montréal and AI at Meta for collaborating on this exciting project. #DigitalBrainProject #Neuroscience #ArtificialIntelligence #OpenScience #Callforprojects #Research #AI #Brain -------------------------------------------------------------- Pierre Bourdillon Julie Boyle Elisa Cascardi Jean-Rémi King Guillaume Le Hénanff Amélie Yavchitz Julien Gottsmann Fabrice VERRIELE Charlotte Cardin-Taillia
Open-source software reveals complete 3D architecture of brain cells
The neurons in our brain that underlie thought connect to each other using tiny branch-like structures on their surfaces known as dendritic spines. Now scientists at Columbia's Zuckerman Institute and ...

Computational Psychiatry Needs Systems Neuroscience
This piece was originally published in The Transmitter. I am adapting it here with some additional context for readers of this newsletter.

Partner with Neuroscience
Partner with J&J Neuroscience to collaborate on licensing, academia, venture deals and shared innovation across Alzheimer’s, Parkinson’s and more.
Neuroscientists challenge NIH’s proposed data-access policy
The changes would restrict the sharing of human neuroimaging, transcriptomic and genetic data.

Moving magnetoencephalography towards real-world applications with a wearable system
A new magnetoencephalography system allows high-spatiotemporal-resolution imaging of human brain function in moving subjects.

Karavela
Using next-gen magnetic resonance, Karavela is collecting the largest dataset of the human brain's dynamics to enhance clinical trials with AI and crack brain decoding.
headway.page is an atmospheric reading progress sync service for KOReader compatible e-readers like the XTeink X4! Use it to sync your reading progress directly from your reader to @popfeed.social, with browsing for @standard.site coming soon. By @graham.systems
headway.page
headway.pageheadway.page is an atmospheric reading progress sync service for KOReader compatible e-readers like the XTeink X4! Use it to sync your reading progress directly from your reader to @popfeed.social, with browsing for @standard.site coming soon. By @graham.systems
headway.page
headway.page