Resources accompanying an upcoming publication on the training of early career researchers in NeuroAI, prepared by the OpenBioML community. Please feel free to contribute any additional resources by filing an issue with suggestion or contributing content via pull requests.
Table S1. NeuroAI initiatives and institutes
| Organisation | Website |
|---|---|
| UNIQUE (Unifying Neuroscience and AI in Quebec) multi-institutional center in Quebec | https://www.unique.quebec/ |
| AI Institutes Virtual Organization (AIVO) coordinates the 25 AI institutes funded by the USA NSF and USDA-NIFA | https://aiinstitutes.org/ |
| ExpandAI: NSF ExpandAI program includes a track for minority serving institutions and AI institutes to propose together new partnerships. | https://aiinstitutes.org/expandai/ |
| OpenBioML (decentralised, collaborative research community to accelerate biology through machine learning and open-science) | https://openbioml.org/ |
| MedARC (medical AI open initiative) | https://www.medarc.ai/ |
| ARNI - NSF AI Institute for Artificial and Natural Intelligence (USA) | https://arni-institute.org/ |
| Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University (USA) | https://www.harvard.edu/kempner-institute/ |
| Center for Computational Neuroscience and Artificial Intelligence, University of Oregon (USA) | https://ion.uoregon.edu/neuroai |
| Cold Spring Harbor Laboratory NeuroAI Center (USA) | https://www.cshl.edu/research/neuroscience/neuroai/ |
| MIT Center for Brains, Minds and Machines (USA) | https://cbmm.mit.edu/ |
| Princeton NeuroAI within the Princeton Neuroscience Institute (USA) | https://pni.princeton.edu/research-areas/neuroai/ |
| Cambridge Computational and Biological Learning Lab (UK) | https://www.cbl-cambridge.org/ |
| Cambridge Centre for the Future of Intelligence (UK) | https://http://lcfi.ac.uk/ |
| University College London NeuroAI (UK) | https://www.ucl.ac.uk/research/domains/neuroscience/ucl-neuroai/ |
| University of West London NeuroAI (UK) | https://www.uwl.ac.uk/research/research-centres-and-groups/neuroai/ |
| Norwegian Artificial Intelligence Research Consortium (NORA) NeuroAI Special Interest Group (Norway) | https://www.nora.ai/nora-sig/NeuroAI/ |
| Neuro-X institute at EPFL (Switzerland) | https://neuro-x.epfl.ch/en/ |
| Center for Human Nature, Artificial Intelligence, and Neuroscience (CHAIN), Hokkaido University (Japan) | https://www.chain.hokudai.ac.jp/wordpress/?lang=en |
Table S2. Neuro-, AI-, and NeuroAI resources for trainees
| Resource | Description | Website |
|---|---|---|
| Neuromatch | Open-source neuroscience (and climate science!) teaching materials and courses with live instruction classrooms; Matching people with research, career, collaboration opportunities. | https://neuromatch.io/ |
| NeuroTheory forum | Online computational neuroscience talks. | https://www.world-wide.org/Neuro/The-Neurotheory-Forum |
| Neurohackademy | Hybrid online-in-person summer school in neuroimaging and data science, with a focus on open science. | https://neurohackademy.org/ |
| Massive Online Open Courses (MOOCs) | Free online courses on a wide variety of topics, some of which provide academic credit. | https://www.mooc.org/ , https://www.edx.org/ , https://www.coursera.org/ and others |
| Large-scale Artificial Intelligence Open Network (LAION) | “A non-profit organization that provides datasets, tools and models to liberate machine learning research”. | https://laion.ai/ |
| OpenNeuro | Free and open platform for validating and sharing BIDS-compliant neuroimaging data. | https://openneuro.org/ |
| PRIME-DE | Open datasets for primate neuroimaging resources. | http://fcon_1000.projects.nitrc.org/indi/indiPRIME.html |
| Human Connectome Project | Open dataset with human multimodal neuroimaging and behaviour. | https://www.humanconnectome.org/ |
| Chinese Human Connectome Project | Publicly available dataset in an effort to facilitate transcultural and cross-ethnic brain–mind studies. | https://www.Chinese-HCP.cn |
| Natural Scenes Dataset | Benchmark dataset of fMRI measurements during viewing thousands of color natural scenes. | https://naturalscenesdataset.org/ |
| THINGS initiative | Global initiative bringing together researchers using the same image database to collect and share behavioral and neuroscience data in object recognition. | https://things-initiative.org/ |
| Allen Institute for Brain Science datasets | Mouse connectome and transcriptome; human transcriptome. | https://alleninstitute.org/division/brain-science/ |
| Neuroscout | A platform for fast and flexible re-analysis of (naturalistic) fMRI studies. | https://neuroscout.org/ |
The survey questions and other information are provided in Survey Questions
Analysis of survey responses is provided in Figure 2 of the manuscript. A further overview of the individual responses is provided in Figure S1: Overview of survey responses
Data will be provided here upon publication of the manuscript.