Shrey Dixit
@shreydixit.bsky.social
๐ค 68
๐ฅ 150
๐ 18
Doctoral Researcher doing NeuroAI at the Max Planck Institute of Human Cognitive and Brain Sciences
pinned post!
๐จPreprint Alert: Who Does What in Deep Learning? Multidimensional Contribution of Neural Units using Game Theory:
arxiv.org/abs/2506.19732
The result of my MSc thesis is out with
@kayson.bsky.social
@fatemehhadaeghi.bsky.social
@patrickmineault.bsky.social
@kordinglab.bsky.social
, Claus C. Hilgetag
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Who Does What in Deep Learning? Multidimensional Game-Theoretic Attribution of Function of Neural Units
Neural networks now generate text, images, and speech with billions of parameters, producing a need to know how each neural unit contributes to these high-dimensional outputs. Existing explainable-AI ...
https://arxiv.org/abs/2506.19732
8 months ago
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Qiaoli Huang
4 days ago
Our new preprint is out on bioRxiv!
@doellerlab.bsky.social
We show that eye-movement sequences actively organize information by aligning with underlying structure and flexibly adapting to cognitive demands in working memory.
www.biorxiv.org/content/10.6...
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https://www.biorxiv.org/content/10.64898/2026.02.16.706087v1
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Excited to see what comes out of it. Having worked on a similar problem during the Algonauts Challenge, I was quite surprised by the results in the paper.
add a skeleton here at some point
12 days ago
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Konrad Kording
13 days ago
neuroAI comparisons of ANNs to brains do have a range of problems. Even more than I had realized. And I was worried before:
www.biorxiv.org/content/10.1...
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https://www.biorxiv.org/content/10.1101/2025.03.09.642245v1.abstract
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Doeller Lab
18 days ago
๐ง The Mind Meeting Series is back! Organized by us & Bicanski Lab, featuring leading scientists in cognitive and computational neuroscience. Our first speaker is
@lukaskunz.bsky.social
(University Hospital Bonn). ๐ February 12 | 3:00 PM ๐ In person (Zoom available) We look forward to seeing you!
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Shrey Dixit
Michel Nivard
20 days ago
Ending up in the space between fields where you have no way of effectively communicating your work has always driven me right back into my disciplineโฆ
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Shrey Dixit
PessoaBrain
20 days ago
๐ฆ๐ฐ๐ต๐ฒ๐บ๐ฎ-๐ฏ๐ฎ๐๐ฒ๐ฑ ๐ฎ๐ฐ๐๐ถ๐๐ฒ ๐ถ๐ป๐ณ๐ฒ๐ฟ๐ฒ๐ป๐ฐ๐ฒ ๐ฎ๐ป๐ฑ ๐ณ๐ฟ๐ผ๐ป๐๐ฎ๐น ๐ฐ๐ผ๐ฟ๐๐ถ๐ฐ๐ฎ๐น ๐ฐ๐ผ๐ฑ๐ถ๐ป๐ด ๐ผ๐ณ ๐ฎ๐ฏ๐๐๐ฟ๐ฎ๐ฐ๐ ๐๐๐ฟ๐๐ฐ๐๐๐ฟ๐ฒ Giovanni Pezzulo et al introduce hierarchical model of goal attainment in PFC. Looks very impressive.
#neuroskyence
arxiv.org/abs/2601.189...
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Shrey Dixit
Martin Hebart
12 months ago
We make about 3-4 fast eye movements a second, yet our world appears stable. How is this possible? In a preprint led by
@lucakaemmer.bsky.social
we test the intriguing idea that anticipatory signals in the fovea may explain visual stability.
www.biorxiv.org/content/10.1...
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Neuroskeptic
28 days ago
"How much of the brain's learned algorithms depend on the fact it is a brain?"
arxiv.org/abs/2601.02063
The brain is a neural network, but also a biological organ (unlike artificial neural networks). How much does this matter to cognition?
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Shrey Dixit
Tim Behrens
about 1 month ago
At
@elife.bsky.social
you can now include explainer videos with every figure. Like going to a seminar while you engage with the paper. First example here
elifesciences.org/articles/106...
Click the arrows next to each figure to get a video of
@mathiassablemeyer.bsky.social
explaining it for you!
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Shrey Dixit
Rachel Thomas
about 1 month ago
Close reading is a technique for careful analysis of a piece of writing, practiced by many ancient cultures, major religions, & academic scholars. The latest fastai course experimented with using AI to go deeper when reading. 1/
www.fast.ai/posts/2026-0...
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How To Use AI for the Ancient Art of Close Reading โ fast.ai
Experiments in reading with LLMs
https://www.fast.ai/posts/2026-01-21-reading-LLMs/
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Shrey Dixit
Michael Fox
about 1 month ago
Are connectome-based network mapping methods and the >200 papers that have used it invalid? New paper out in @NatureNeuro says YES.
nature.com/articles/s41...
I have concerns about this new paper's methods and conclusions, but am biased. What do others think?
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Investigating the methodological foundation of lesion network mapping - Nature Neuroscience
The lesion network mapping method links diverse brain lesions to similar functional brain networks, reflecting general brain organization rather than disorder-specific circuits.
https://nature.com/articles/s41593-025-02196-7
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Shrey Dixit
Iris Groen
about 1 month ago
I have a PhD opening for my
#VIDI
BrainShorts project ๐ฝ๏ธ๐ง ๐ค! Are you or do you know an ambitious, recent (or almost) MSc graduate with a background in NeuroAI and interest in large-scale data collection and video perception? Check out our vacancy! (deadline Feb 15).
werkenbij.uva.nl/en/vacancies...
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Vacancy โ PhD Position in NeuroAI for Video Perception in the Human Brain
<p><span>Are you interested in using AI to unravel the mysteries of the brain? Do you want to perform cutting-edge NeuroAI research and leverage deep learning to understand human vision? Then check out the vacancy below and apply for a PhD position in this exciting research direction.</span></p>
https://werkenbij.uva.nl/en/vacancies/phd-position-in-neuroai-for-video-perception-in-the-human-brain-netherlands-14723
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Shrey Dixit
Qiaoli Huang
about 1 month ago
Our new paper, now published in Cell Reports, asks how the brain adaptively shapes its representations according to the statistical structure of the environment to overcome the limits of working memory capacity.
www.cell.com/cell-reports...
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Efficient coding in working memory is adapted to the structure of the environment
Huang et al. show that the brain optimizes working memory by compressing information when environmental regularities exist. MEG reveals distinct neural systems for abstract structure and item details,...
https://www.cell.com/cell-reports/fulltext/S2211-1247%2825%2901633-X
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Shrey Dixit
Anna Schapiro
about 1 month ago
Really thrilled that this paper led by
@neurozz.bsky.social
is now published in its final version in
@elife.bsky.social
!! This is a memory-focused (as opposed to RL-focused) account of the detailed characteristics of forward and backward awake and sleep replay!
elifesciences.org/articles/99931
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A unifying account of replay as context-driven memory reactivation
A context-driven memory model simulates a wide range of characteristics of waking and sleeping hippocampal replay, providing a new account of how and why replay occurs.
https://elifesciences.org/articles/99931
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Konrad Kording
about 1 month ago
Another cool paper from Iran:
nature.com/articles/s41...
Prenatal stress makes mouse offspring more anxious, hyperactive, forgetful, and more drawn to morphine while laterodorsal tegmentum cholinergic neurons become hyperexcitable. From Kerman, a city with reported violent crackdowns on protests.
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The hyperexcitability of laterodorsal tegmentum cholinergic neurons accompanies adverse behavioral and cognitive outcomes of prenatal stress - Scientific Reports
Scientific Reports - The hyperexcitability of laterodorsal tegmentum cholinergic neurons accompanies adverse behavioral and cognitive outcomes of prenatal stress
https://nature.com/articles/s41598-023-33016-2
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Shrey Dixit
Jens E. Pedersen
about 1 month ago
The field of
#neuromorphics
is lacking *accessible*, *intuitive*, and *practical* introductions. Ramashish Gaurav, Petruศ Antoniu Bogdan, and I are setting out to fix this with a book on Practical Spiking Neural Networks! โ Any and all contributions are welcome! ๐ Early access at:
snnbook.net
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Shrey Dixit
Alessandro Gifford
3 months ago
Weโd love your feedback on BERG (
github.com/gifale95/BERG
): pretrained encoding models + a Python toolkit for generating in silico neural responses for in silico experimentation. Your input will make BERG more useful and reliable!
forms.gle/pybrqcaqdso2...
#NeuroAI
#CompNeuro
#neuroscience
#AI
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The Brain Encoding Response Generator (BERG) survey
Thank you for taking part in this survey aimed at (anonymously) collecting your thoughts and suggestions on a new resource called the Brain Encoding Response Generator (BERG; https://github.com/gifale...
https://forms.gle/pybrqcaqdso2LJK88
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Shrey Dixit
Mackenzie Weygandt Mathis
about 2 months ago
Interested in the latest advances in neuroscience (neural dynamics and internal models) and how they can be leveraged to build smarter, adaptive AI? โก๏ธ My first real solo piece ๐ค๐ซถ
@natneuro.nature.com
rdcu.be/eWVmA
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Leveraging insights from neuroscience to build adaptive artificial intelligence
Nature Neuroscience - Adaptive intelligence envisions AI that, like animals, learns online, generalizes and adapts quickly. This Perspective reviews biological foundations, progress in AI and...
https://rdcu.be/eWVmA
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Shrey Dixit
about 1 month ago
Introducing DroPE: Extending Context by Dropping Positional Embeddings We found embeddings like RoPE aid training but bottleneck long-sequence generalization. Our solutionโs simple: treat them as a temporary training scaffold, not a permanent necessity.
arxiv.org/abs/2512.12167
pub.sakana.ai/DroPE
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Tatjana Tchumatchenko
about 1 month ago
Please spread the word๐My lab is looking to hire two international postdocs. If you want to do comp neuro, combine machine learning and awesome math to understand neural circuit activity, then come work with us! Bonn is such a cool place for neuroscience now, you don't want to miss out.
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Sam Gershman
about 1 month ago
With some trepidation, I'm putting this out into the world:
gershmanlab.com/textbook.html
It's a textbook called Computational Foundations of Cognitive Neuroscience, which I wrote for my class. My hope is that this will be a living document, continuously improved as I get feedback.
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Casper Kerrรฉn
about 2 months ago
New preprint: Inference over hidden contexts shapes the geometry of conceptual knowledge for flexible behaviour. In this pre-reg study, our core claim was that we donโt just learn stimulus-reward. We infer hidden context and that inference re-wires attention and neural state space on the fly. 1/8
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Shrey Dixit
Dan Goodman
about 2 months ago
I'm increasingly of the opinion that we shouldn't give credence to any published result unless it has been subject to a good faith attempt to explain the results by a null model, ideally by an independent group that doesn't believe the result is true, and shown to be robust.
add a skeleton here at some point
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Alexander Huth
about 2 months ago
This paper had a pretty shocking headline result (40% of voxels!), so I dug into it, and I think it is wrong. Essentially: they compare two noisy measures and find that about 40% of voxels have different sign between the two. I think this is just noise!
add a skeleton here at some point
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Armin Lak
about 2 months ago
New preprint. We show that in addition to reward prediction errors (RPEs), dorsal striatal dopamine signals encode sensory prediction errors (SPEs), the difference between sensory prior & observed stimulus.
www.biorxiv.org/content/10.6...
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Dorsal striatal dopamine integrates sensory and reward prediction errors to guide perceptual decisions
Perceptual decisions are shaped by expectations about sensory stimuli and rewards, learned through sensory and reward prediction errors. Dopamine is known to convey reward prediction errors that shape...
https://www.biorxiv.org/content/10.64898/2026.01.01.696999v1
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Shrey Dixit
Michael Wagner
2 months ago
๐จ Postdoctoral Opportunity for Female Scientists๐จ The University of Vienna is awarding at least 20 fully funded 4 year postdoctoral positions to outstanding female scientists Interested? Get in touch via direct message
careers.univie.ac.at/en/postdoc/e...
#MicroSky
๐งช
#PostDoc
@univie.ac.at
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Mari Sosa
about 2 months ago
Awesome article on medical breakthroughs that came from basic neuroscience research in rodents. Major success examples in postpartum depression, non-opioid pain and migraine treatment. This is exactly why funding basic science is so important!
www.thetransmitter.org/drug-develop...
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How basic neuroscience has paved the path to new drugs
A growing list of medicationsโsuch as zuranolone for postpartum depression, suzetrigine for pain, and the gepants class of migraine medicinesโexist because of insights from basic research.
https://www.thetransmitter.org/drug-development/how-basic-neuroscience-has-paved-the-path-to-new-drugs/
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Shrey Dixit
Gaute Einevoll
about 2 months ago
It is not often I get an epiphany from our own research. But this year Torbjรธrn Ness, Christof Koch, and I realized that when we know how to compute electric brain signals generated by a neuron, we also know how to electrically stimulate the same neuron.
journals.plos.org/ploscompbiol...
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Predicting neural responses to intra- and extra-cranial electric brain stimulation by means of the reciprocity theorem
Author summary Electric brain stimulation is widely used in neuroscience and medicine, from mapping brain function during surgery to treating disorders such as Parkinsonโs disease and depression. Yet ...
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1013782
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Shrey Dixit
The Transmitter
2 months ago
Amid the rise of billion-parameter models, I argue that toy models, with just a few neurons, remain essentialโand may be all neuroscience needs, writes
@marcusghosh.bsky.social
.
#neuroskyence
www.thetransmitter.org/theoretical-...
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Not playing around: Why neuroscience needs toy models
Amid the rise of billion-parameter models, I argue that toy models, with just a few neurons, remain essentialโand may be all neuroscience needs.
https://www.thetransmitter.org/theoretical-neuroscience/not-playing-around-why-neuroscience-needs-toy-models/?utm_source=bluesky&utm_medium=org-social&utm_campaign=20251222-perspectives-why-neuroscience-needs-toy-models
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Kayson Fakhar
2 months ago
๐จnew work with the dream team
@danakarca.bsky.social
@loopyluppi.bsky.social
@fatemehhadaeghi.bsky.social
@stuartoldham.bsky.social
@duncanastle.bsky.social
We use game theory and show the brain is not optimally wired for communication and thereโs more to its story:
www.biorxiv.org/content/10.6...
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Shrey Dixit
Nicholas Menghi
3 months ago
Our new paper, now published in
@natcomms.nature.com
, asks a simple question: when two tasks share a common structure, does the brain learn them more efficiently? Surprisingly, this was not the case. Thread below (1/7)
rdcu.be/eSwvU
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The effects of task similarity during representation learning in brains and neural networks
Nature Communications - Here, the authors show learning tasks with similar structures can initially cause interference and slow down learning, but both the brain and artificial networks gradually...
https://rdcu.be/eSwvU
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Shrey Dixit
Janis Keck
3 months ago
New preprint! Have you ever wondered, what are these fuzzy simplicial sets, the theoretical framework behind e.g. UMAP? Here we show that you may simply see them as marginal distributions over simplicial sets. This provides a generative model for UMAP. (1/2)
arxiv.org/abs/2512.03899
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Probabilistic Foundations of Fuzzy Simplicial Sets for Nonlinear Dimensionality Reduction
Fuzzy simplicial sets have become an object of interest in dimensionality reduction and manifold learning, most prominently through their role in UMAP. However, their definition through tools from alg...
https://arxiv.org/abs/2512.03899
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Shrey Dixit
Martin Hebart
4 months ago
Please repost! I am looking for a PhD candidate in the area of Computational Cognitive Neuroscience to start in early 2026. The position is funded as part of the Excellence Cluster "The Adaptive Mind" at
@jlugiessen.bsky.social
. Please apply here until Nov 25:
www.uni-giessen.de/de/ueber-uns...
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Shrey Dixit
Luise Graichen
4 months ago
โจMy first first-author paper is outโจ Entorhinal grid-like codes for visual space during memory formation in
@natcomms.nature.com
โก๏ธ
rdcu.be/eLRm2
Big thanks to everyone โช@isabellacwagner.bsky.socialโฌ,
@tobiasstaudigl.bsky.social
,
@olejensen.bsky.social
,
@doellerlab.bsky.social
,
@clauslamm.bsky.social
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Entorhinal grid-like codes for visual space during memory formation
Nature Communications - Eye movements during scene viewing are tied to grid-like codes in the entorhinal cortex. Grid signals are specific to later remembered scenes, covary with activity in...
https://rdcu.be/eLRm2
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Shrey Dixit
Michael Saxon
4 months ago
The viral "Definition of AGI" paper tells you to read fake references which do not exist! Proof: different articles present at the specified journal/volume/page number, and their titles exist nowhere on any searchable repository. Take this as a warning to not use LMs to generate your references!
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Andrej Bicanski
5 months ago
New preprint from the lab and great work by Fei Wang. We show how subiculum trace vector cells can be modeled consistent with known effects in CA1. Traces are driven by a mismatch learning rule to keep associative memories in line with experience.
www.biorxiv.org/content/10.1...
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Dynamic updating of cognitive maps via traces of experience in the subiculum
In the classical view of hippocampal function, the subiculum is assigned the role as the output layer. In spatial paradigms, some subiculum neurons manifest as so-called boundary vector cells (BVCs), ...
https://www.biorxiv.org/content/10.1101/2025.10.01.679719v1
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Shrey Dixit
Qiaoli Huang
6 months ago
Happy to share our new preprint. We found that brain adaptively switches between relational and item-based coding strategies based on the structure of memory contents.
@doellerlab.bsky.social
www.biorxiv.org/content/10.1...
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Efficient coding in working memory is adapted to the structure of the environment
Working memory (WM) relies on efficient coding strategies to overcome its limited capacity, yet how the brain adaptively organizes WM representations to maximize coding efficiency based on environment...
https://www.biorxiv.org/content/10.1101/2025.08.20.671058v1
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Shrey Dixit
Nicholas Menghi
5 months ago
๐จ New preprint! Impact of Task Similarity and Training Regimes on Cognitive Transfer and Interference ๐ง We compare humans and neural networks in a learning task, showing how training regime and task similarity interact to drive transfer or interference.
www.biorxiv.org/content/10.1...
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Impact of Task Similarity and Training Regimes on Cognitive Transfer and Interference
Learning depends not only on the content of what we learn, but also on how we learn and on how experiences are structured over time. To investigate how task similarity and training regime interact dur...
https://www.biorxiv.org/content/10.1101/2025.09.22.677779v1
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Shrey Dixit
Doeller Lab
5 months ago
Join us at the Max Planck Institute in Leipzig as a Postdoc to explore cognitive maps in the human brain: learning, memory & the formation of structural representations. Excellent infrastructure with a leading scientific network. Apply by 13 October:
postdocprogram.mpg.de/node/21187
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Shrey Dixit
Matthias Michel
10 months ago
Very happy to announce that our paper โSensory Horizons and the Functions of Conscious Visionโ is now out as a target article in BBS!!
@smfleming.bsky.social
and I present a new theory of the evolution and functions of visual consciousness. Article here:
doi.org/10.1017/S014...
. A (long) thread ๐งต
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Sensory Horizons and the Functions of Conscious Vision | Behavioral and Brain Sciences | Cambridge Core
Sensory Horizons and the Functions of Conscious Vision
https://doi.org/10.1017/S0140525X25000068
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Shrey Dixit
Marcus Ghosh
7 months ago
How does the structure of a neural circuit shape its function?
@neuralreckoning.bsky.social
& I explore this in our new preprint:
doi.org/10.1101/2025...
๐ค๐ง ๐งช ๐งต1/9
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We did it! ๐ We won Phase 1 and placed 2nd overall in the Algonauts 2025 Challenge. So proud of the crew
@keckjanis.bsky.social
,Viktor Studenyak,Daniel Schad,Aleksandr Shpilevoi. Huge thanks to
@andrejbicanski.bsky.social
and
@doellerlab.bsky.social
for support. Report:
arxiv.org/abs/2507.17958
7 months ago
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Shrey Dixit
Brad Aimone
7 months ago
For a few years I have said that neuromorphic is specialized general purpose, like GPUs, but with different advantages. In this preprint I try to put some substance to that claim. There are real theoretical advantages, but they aren't obvious. ๐งช๐ง ๐ค
www.arxiv.org/abs/2507.17886
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Neuromorphic Computing: A Theoretical Framework for Time, Space, and Energy Scaling
Neuromorphic computing (NMC) is increasingly viewed as a low-power alternative to conventional von Neumann architectures such as central processing units (CPUs) and graphics processing units (GPUs), h...
https://www.arxiv.org/abs/2507.17886
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Just came across an AI-generated video summary/review of our recent preprintโand I have to say, Iโm genuinely impressed. It does a great job summarizing the paper, and Iโd actually recommend it to others. Check it out:
www.youtube.com/watch?v=3g5K...
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Multidimensional Game-Theoretic Attribution of Function of Neural Units
YouTube video by LuxaK
https://www.youtube.com/watch?v=3g5K3GJqzLo
7 months ago
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Shrey Dixit
Kayson Fakhar
8 months ago
Good morning folks. If youโre around
#OCNS2025
, maybe come by today for a chat about optimal communication in brain networks? โจ
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Shrey Dixit
Marcelo Mattar
8 months ago
Thrilled to see our TinyRNN paper in @nature! We show how tiny RNNs predict choices of individual subjects accurately while staying fully interpretable. This approach can transform how we model cognitive processes in both healthy and disordered decisions.
doi.org/10.1038/s415...
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Discovering cognitive strategies with tiny recurrent neural networks - Nature
Modelling biological decision-making with tiny recurrent neural networks enables more accurate predictions of animal choices than classical cognitive models and offers insights into the underlying cog...
https://doi.org/10.1038/s41586-025-09142-4
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Janis Keck
8 months ago
Excited to share that our work on the interplay of symmetric learning rules and successor representations (SR) is published in
@plos.org
(
comp.bio
) Work done together with
@doellerlab.bsky.social
,
@caswell.bsky.social
and Juergen Jost.
doi.org/10.1371/jour...
#neuroskyence
#compneurosky
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Impact of symmetry in local learning rules on predictive neural representations and generalization in spatial navigation
Author summary The hippocampus is a brain region which plays a crucial role in spatial navigation for both animals and humans. Contemporarily, itโs thought to store predictive representations of the e...
https://doi.org/10.1371/journal.pcbi.1013056
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๐จPreprint Alert: Who Does What in Deep Learning? Multidimensional Contribution of Neural Units using Game Theory:
arxiv.org/abs/2506.19732
The result of my MSc thesis is out with
@kayson.bsky.social
@fatemehhadaeghi.bsky.social
@patrickmineault.bsky.social
@kordinglab.bsky.social
, Claus C. Hilgetag
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Who Does What in Deep Learning? Multidimensional Game-Theoretic Attribution of Function of Neural Units
Neural networks now generate text, images, and speech with billions of parameters, producing a need to know how each neural unit contributes to these high-dimensional outputs. Existing explainable-AI ...
https://arxiv.org/abs/2506.19732
8 months ago
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Shrey Dixit
Saikat Ray
about 1 year ago
How does the brain work in natural scenarios, in multi-animal societies of wild animals? ๐ง ๐งช ๐ฆ
doi.org/10.1126/scie...
(1/n)
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