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…
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).
CatalystNeuro - Neurophysiology Data & Software Solutions
CatalystNeuro empowers neuroscience labs with data standardization, NWB conversions, spike sorting pipelines, and open-source software tools for neurophysiology research.
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.
#brainfoundationmodels #neuroai #eeg #meg #fmri #neuroscience #machinelearning #opensource #fair | Jarod Lévy
Today, the Brain&AI team announces a new release with NeuralBench. 📊📊📊 A unified framework for benchmarking foundation models of brain activity. This wouldn’t have been possible without the tremendous work of Hubert Banville 🎉 🎉 🎉 - 🧠 36 EEG tasks - 🗄️ 94 public datasets. - 💻 Code: https://lnkd.in/dPDMwja3 - 📄 Paper: https://lnkd.in/ddDU2p6d This package allows systematic evaluation of any foundation models. NeuralBench addresses this by defining each task end-to-end with config files (data source, preprocessing, splits, optimizer, metrics, architecture) so all models can be evaluated on the same footing. We invite the community to contribute new tasks, datasets, and models, especially for fMRI, MEG, and iEEG. The long-term goal is a fully unified benchmark across neuroimaging tasks and modalities. What's in the first release, NeuralBench-EEG v1.0: - 36 EEG tasks across 94 public datasets, spanning motor imagery, clinical classification, cognitive decoding, and phenotype prediction. - Task-specific deep learning architectures (EEGNet, Deep4, EEGConformer, CTNet, ...) benchmarked side-by-side with recent EEG foundation models (BENDR, LaBraM, BIOT, CBraMod, LUNA, REVE). - Extensible to other neuroimaging modalities: the framework already runs MEG and fMRI tasks, leveraging our NeuralSet ecosystem for accessing brain imaging data and the broader neuroscientific software stack. - Released under the MIT license. Big team effort with Stéphane d'Ascoli, Simon Dahan, Jérémy RAPIN, Marlène Careil, Yohann Benchetrit, Saarang P., Antoine Ratouchniak, Lucy (Mingfang) Zhang, Elisa Cascardi, Katie Begany Teon Brooks, and Jean-Rémi King. And special thanks: Alexandre Gramfort Thomas Moreau Arnaud Delorme Bruno A. Pierre Guetschel #BrainFoundationModels #NeuroAI #EEG #MEG #fMRI #Neuroscience #MachineLearning #OpenSource #FAIR
Neuropeek — Accelerating the Neuro-AI convergence
Where brain data becomes shared knowledge. A community-driven platform federating neuroscience datasets, models, and tools to accelerate discovery.
Data Hosting & Sharing: The Open MEG Archive (OMEGA)
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
Inventing the future: A neuroscience research roadmap
The past decade of transformative advances in neurotechnology portends an exciting future for neuroscience. This NeuroView charts a strategic path to accelerate and integrate research discovery and speed the development of new cures for human brain disorders.
#neuroscience #ai #python #opensource #neuroai | Jean-Rémi King
⚡ We're happy to release NeuralSet: a fast, simple, and scalable Python framework for Neuro-AI. Already supports: 🧠 fMRI, EEG, MEG, iEEG, spikes… recordings 💬 text, 🔊 audio, ▶️ video, 🏞️ image… embeddings 📦 `pip install neuralset` 💻 Code: https://lnkd.in/eamwxBUY 📄 Paper: https://lnkd.in/epbreyDy Made possible thanks to: Hubert Banville, Katie Begany, Corentin Bel, Yohann Benchetrit, Teon Brooks, Marlène Careil, Simon Dahan, Stéphane d'Ascoli, Alexandre Défossez, Linnea Evanson, PhD, Pablo J. Diego Simón, Julien Gadonneix, Sophia Houhamdi, Shubh Khanna, Jarod Lévy, Pierre Orhan, Antoine Ratouchniak, Joséphine Raugel, Andrea Elena Santos Revilla, Alexis Thual, Lucy (Mingfang) Zhang, Jérémy RAPIN #Neuroscience #AI #Python #OpenSource #NeuroAI
Neuroscientists challenge NIH’s proposed data-access policy
The changes would restrict the sharing of human neuroimaging, transcriptomic and genetic data.
🚀🚀🚀 Excited to share that our Brain&AI team is releasing NeuralSet! 🚀🚀🚀 A fast, simple, and scalable package for Neuro-AI: 📦 `pip install neuralset` 💻 Code: https://lnkd.in/eamwxBUY 📄… | Jarod Lévy | 12 comments
🚀🚀🚀 Excited to share that our Brain&AI team is releasing NeuralSet! 🚀🚀🚀 A fast, simple, and scalable package for Neuro-AI: 📦 `pip install neuralset` 💻 Code: https://lnkd.in/eamwxBUY 📄 Paper: https://lnkd.in/epbreyDy As a PhD student working extensively with neuro recordings and AI models, I find this library to be a game-changer. This has been the common backbone for the past several years of our projects (TribeV2, DynaDiff, Brain2Qwerty & more!). This library turns raw neuro-recordings into AI-ready tensors. It enables: - Event-driven processing with typed, validated DataFrames. - Multimodal extractors for fMRI, EEG, MEG, EMG, and iEEG + text, image, audio, and video. - Torch-native segmentation for efficient batching. - Caching and remote compute through exca. Huge thanks to everyone on the team who made this release possible. If you're working on brain decoding, encoding models, or foundation models for neuroscience, don’t miss this! 🧠 Jean-Rémi King Hubert Banville Katie Begany Corentin Bel Yohann Benchetrit Teon Brooks Marlène Careil Simon Dahan Stéphane d'Ascoli Alexandre Défossez Linnea Evanson, PhD Pablo J. Diego Simón, Julien Gadonneix, Sophia Houhamdi Shubh Khanna Pierre Orhan Antoine Ratouchniak Joséphine Raugel Andrea Elena Santos Revilla Alexis Thual Lucy (Mingfang) Zhang Jérémy RAPIN | 12 comments on LinkedIn
#neuroscience #ai #python #opensource #neuroai | Jean-Rémi King | 34 comments
⚡ We're happy to release NeuralSet: a fast, simple, and scalable Python framework for Neuro-AI. Already supports: 🧠 fMRI, EEG, MEG, iEEG, spikes… recordings 💬 text, 🔊 audio, ▶️ video, 🏞️ image… embeddings 📦 `pip install neuralset` 💻 Code: https://lnkd.in/eamwxBUY 📄 Paper: https://lnkd.in/epbreyDy Made possible thanks to: Hubert Banville, Katie Begany, Corentin Bel, Yohann Benchetrit, Teon Brooks, Marlène Careil, Simon Dahan, Stéphane d'Ascoli, Alexandre Défossez, Linnea Evanson, PhD, Pablo J. Diego Simón, Julien Gadonneix, Sophia Houhamdi, Shubh Khanna, Jarod Lévy, Pierre Orhan, Antoine Ratouchniak, Joséphine Raugel, Andrea Elena Santos Revilla, Alexis Thual, Lucy (Mingfang) Zhang, Jérémy RAPIN #Neuroscience #AI #Python #OpenSource #NeuroAI | 34 comments on LinkedIn
#neuroscience #ai #python #opensource #neuroai | Jean-Rémi King | 34 comments
⚡ We're happy to release NeuralSet: a fast, simple, and scalable Python framework for Neuro-AI. Already supports: 🧠 fMRI, EEG, MEG, iEEG, spikes… recordings 💬 text, 🔊 audio, ▶️ video, 🏞️ image… embeddings 📦 `pip install neuralset` 💻 Code: https://lnkd.in/eamwxBUY 📄 Paper: https://lnkd.in/epbreyDy Made possible thanks to: Hubert Banville, Katie Begany, Corentin Bel, Yohann Benchetrit, Teon Brooks, Marlène Careil, Simon Dahan, Stéphane d'Ascoli, Alexandre Défossez, Linnea Evanson, PhD, Pablo J. Diego Simón, Julien Gadonneix, Sophia Houhamdi, Shubh Khanna, Jarod Lévy, Pierre Orhan, Antoine Ratouchniak, Joséphine Raugel, Andrea Elena Santos Revilla, Alexis Thual, Lucy (Mingfang) Zhang, Jérémy RAPIN #Neuroscience #AI #Python #OpenSource #NeuroAI | 34 comments on LinkedIn
Precision Medicine in Neuroscience: Tools, Translation, and Implementation: A Workshop
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Motif Neurotech — Therapeutic Brain Computer Interface For Mental Health
We're building devices to help you monitor and regulate your mental health and performance.
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Neurodata Startups
Alljoined | We’re Hiring
Constellation Systems, Inc | LinkedIn
Karavela
Constellation