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Devika Narain

@neuronarain.bsky.social
46 followers 42 following 2 posts

Neuroscientist in search of lost time. Studying temporal control of movement. PI Donders/Erasmus MC, Netherlands. Side hustle: Building theories for neural manifolds www.narainlab.org

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Reposted by Devika Narain
Naomi Chrispijn-Steenbeek @naomichrispijn.bsky.social · 29/07/2026
With talks by @kaytrue.bsky.social, Carl-Philipp Heisenberg, @neuronarain.bsky.social, Matz Liebel, Giorgio Scita, Sebastian Deindl, Louise Jawerth, Ewa Paluch
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Reposted by Devika Narain
The Transmitter @thetransmitter.bsky.social · 01/06/2026
A hackathon reveals that disagreement in neuroscience runs deeper than most researchers suspect—even in electrophysiology, a field that prides itself on hard data, write @mattiachini.bsky.social and Gaelle Chapuis. #neuroskyence www.thetransmitter.org/reproducibil...
thetransmitter.org
18 teams analyzed a neuro dataset and got different answers
Disagreement in neuroscience runs deeper than most researchers suspect—even in electrophysiology, a field that prides itself on hard data.
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Reposted by Devika Narain
Nick Myers @nick-myers.bsky.social · 25/05/2026
New paper with @paulm-k.bsky.social and Mark Stokes on how we switch internal attention between working memory contents. Beta-band oscillations tracked the magnitude and success of these switches. www.jneurosci.org/content/46/1... #neuroskyence
jneurosci.org
Human Beta Oscillations Reflect Magnitude and Fidelity of Priority Shifts in Working Memory
Flexible prioritization in working memory (WM) is supported by neural oscillations in frontal and sensory brain areas, but the roles of different oscillations remain poorly understood. Recordings in h...
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Reposted by Devika Narain
Laura Grima @lauragrima.bsky.social · 23/05/2026
@fluketc.bsky.social and @dudman.bsky.social have hit it out the park again. In my (perhaps biased) opinion this - along with their previous papers - is field-defining work. www.science.org/doi/10.1126/...
science.org
Reward magnitude determines reinforcement learning efficiency
Standard animal learning studies minimize individual reward magnitudes to maximize the repetitions of reinforced behaviors. We investigated how reward magnitude influences initial learning across five...
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Reposted by Devika Narain
Floris de Lange @predictivebrain.bsky.social · 28/04/2026
And a nice summary by Richard Antonello can be found here: elifesciences.org/articles/111...
elifesciences.org
Language Models: Does the brain really know what word is coming next?
Apparent neural encoding of future words may arise from the statistical structure of language itself, rather than from predictive computations in the brain.
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Reposted by Devika Narain
Konrad Kording @kordinglab.bsky.social · 28/04/2026
After rereading the cool hidden brain paper (www.frontiersin.org/journals/sys...) I decided to make a new version. Code and everything available here: github.com/koerding/neu... Most popular: hippocampus. Why are diagonal band, medial geniculate nucleus, and interposed nucleus so unpopular?
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Reposted by Devika Narain
Juan Gallego @juangallego.bsky.social · 14/04/2026
What are the real promises and looming perils of neural foundation models? 🧠 I put my thoughts on (virtual) paper for @thetransmitter.bsky.social following a very energised workshop at @cosynemeeting.bsky.social 2025. It's also my first piece for them 😊
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Devika Narain @neuronarain.bsky.social · 14/04/2026
Our work on how neural circuits in the cerebellum encode prior probabilities led by Julius Koppen is out now in Nature Neuroscience www.nature.com/articles/s41... Big thanks to Julius Koppen & the whole team! And dedicated to all of us who found inspiration in Bayesian theories of the brain!
nature.com
Neural circuits encode prior knowledge of temporal statistics - Nature Neuroscience
This study shows that cerebellar circuits learn and encode prior probabilities of event timing. Cell-type-specific neural activity reflects environmental statistics and guides predictive motor behavio...
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Reposted by Devika Narain
The Transmitter @thetransmitter.bsky.social · 13/04/2026
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity, writes @juangallego.bsky.social. But will we be able to understand them? #neuroskyence www.thetransmitter.org/neuroai/why-...
thetransmitter.org
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?
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Reposted by Devika Narain
Matt Perich @mattperich.bsky.social · 10/03/2026
New paper hot off the (pre-)press! We dig into the evolutionary origins of neural computations for behavioral control across mice, monkeys, and humans: www.biorxiv.org/content/10.6.... As our lab's first foray into comparative analysis of neural dynamics, I’m super excited about this work! 1/18
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Reposted by Devika Narain
Martin Wiener @martinwiener.bsky.social · 22/04/2024
Excited and thrilled and humbled that our work is now out at Nature Human Behaviour linking Memorability with Time Perception! I hope you all find it of interest 🙂 Memorability shapes perceived time (and vice versa) #academicsky #neuroskyence #psychscisky #science
nature.com
Memorability shapes perceived time (and vice versa) - Nature Human Behaviour
In this Article, Ma et al. show, across a series of experiments, that time and memorability (the probability of recalling a visual stimulus) mutually influence one another, suggesting that time is a f...
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Reposted by Devika Narain
Dirk Gütlin @gutlin.bsky.social · 08/04/2026
Neural circuits encode prior knowledge of temporal statistics www.nature.com/articles/s41...
nature.com
Neural circuits encode prior knowledge of temporal statistics - Nature Neuroscience
This study shows that cerebellar circuits learn and encode prior probabilities of event timing. Cell-type-specific neural activity reflects environmental statistics and guides predictive motor behavio...
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