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@michael.muthukrishna.com and I are hiring a postdoc to join our labs at NYU!Ā  We're looking for someone excited to work on one of society's newly emerging and potentially generation-shaping challenges: the multi-agent alignment problem.
2mo
We’re hiring! The Suthana Lab @ Duke is looking for a Research Assistant to join our team studying human memory & real-world 🧠 dynamics using wearable tech & intracranial recordings. Apply: careers.duke.edu/job/Durham-C... You can also email [email protected] with CV/questions. Please share!
4mo
In collaboration with @monicarosenb.bsky.social , we showed that individual diffs in LTM encoding is uniquely predicted by inter-electrode correlations even controlling for working memory abilities. This suggests that WM & LTM encoding are separate abilities coded by different neural signatures! 1/n
1mo
Sydney Levine
Incredible training opportunity for future computational cognitive neuroscientists!!
šŸ”„šŸ”„šŸ”„
So excited to see this out today! Huge congrats to @oliviachristiano.bsky.social, who led this project.
Chong Zhao
4mo
1mo
1mo
Nanthia Suthana
Excited to see the final version of our manuscript out! We find that OPM-MEG reliably captures neural activity comparable to other neuroimaging methods. Thank you to the reviewers for their thoughtful feedback and to @s-michelmann.bsky.social for his mentorship on this project. šŸ§ šŸ˜„
New Annual Review with @nathanieldaw.bsky.social: ā€œPlanning in the Brain: It's Not What You Think It Is.ā€ We argue that the brain's 'planning' machinery is mostly used for learning from simulated experience, and that thinking prospectively at decision time is just one special case of this process.
Our new paper is out this week in Nature Neuroscience! www.nature.com/articles/s41... We built a BCI that works with the brain's natural geometry — and we found that people could learn to play a video game with their brains in <1 hr of training. This efficiency is groundbreaking & here's why:
1mo
1mo
2d
Busch et al. use nonlinear neural manifolds to help humans gain rapid control over a noninvasive brain–computer interface, allowing them to learn how to play a video game with real-time fMRI neurofeed...
Human learning of noninvasive brain–computer interfaces via manifold geometry - Nature Neuroscience
www.nature.com
The neuroscience of planning has long been analogized to search algorithms in artificial intelligence (AI), which simulate future actions to guide immediate choices. We argue that advances in both neu...
www.annualreviews.org
Planning in the Brain: It&apos;s Not What You Think It Is
1mo
New paper in Imaging Neuroscience by Chong Zhao, Edward K. Vogel, and Monica D. Rosenberg: A unique neural signature of long-term memory encoding from EEG inter-electrode correlation doi.org/10.1162/IMAG...
Erica Busch
Marcelo Mattar
Imaging Neuroscience
New paper in Imaging Neuroscience by Olivia R. Christiano and Sebastian Michelmann: Reliability and signal comparison of OPM-MEG, fMRI & iEEG in a repeated movie viewing paradigm doi.org/10.1162/IMAG...
1mo
Imaging Neuroscience
New paper in Imaging Neuroscience by Olivia R. Christiano and Sebastian Michelmann: Reliability and signal comparison of OPM-MEG, fMRI & iEEG in a repeated movie viewing paradigm doi.org/10.1162/IMAG...
1mo
Imaging Neuroscience