Shrey Dixit
@shreydixit.bsky.social
📤 48
📥 82
📝 17
Doctoral Researcher doing NeuroAI at the Max Planck Institute of Human Cognitive and Brain Sciences
pinned post!
🚨Preprint 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
5 months ago
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Martin Hebart
5 days 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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Luise Graichen
20 days ago
✨My first first-author paper is out✨ Entorhinal grid-like codes for visual space during memory formation in
@natcomms.nature.com
➡️
rdcu.be/eLRm2
Big thanks to everyone @isabellacwagner.bsky.social,
@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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Michael Saxon
23 days 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
about 1 month 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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Qiaoli Huang
3 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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Nicholas Menghi
about 2 months ago
🚨 New preprint! Impact of Task Similarity and Training Regimes on Cognitive Transfer and Interference 🧠 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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Doeller Lab
about 2 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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Matthias Michel
7 months ago
Very happy to announce that our paper “Sensory Horizons and the Functions of Conscious Vision” 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 🧵
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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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Marcus Ghosh
3 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...
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We did it! 🏆 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
3 months ago
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Brad Aimone
3 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. 🧪🧠🤖
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 preprint—and I have to say, I’m genuinely impressed. It does a great job summarizing the paper, and I’d 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
4 months ago
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Ian Holmes
4 months ago
White text on white background instructing LLMs to give positive reviews is apparently now common enough to show up in searches for boilerplate text.
add a skeleton here at some point
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Kayson Fakhar
4 months ago
Good morning folks. If you’re around
#OCNS2025
, maybe come by today for a chat about optimal communication in brain networks? ✨
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Marcelo Mattar
4 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
5 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, it’s thought to store predictive representations of the e...
https://doi.org/10.1371/journal.pcbi.1013056
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🚨Preprint 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
loading . . .
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
5 months ago
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reposted by
Shrey Dixit
Saikat Ray
9 months ago
How does the brain work in natural scenarios, in multi-animal societies of wild animals? 🧠 🧪 🦇
doi.org/10.1126/scie...
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Wanted to bookmark this post but apparently the feature is not out yet. So I'm sharing it with everyone instead.
add a skeleton here at some point
11 months ago
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Shrey Dixit
Patrick Mineault
11 months ago
A population transformer for iEEG. Solid results hinging on better spatial aggregation through a contrastive task.
openreview.net/forum?id=hVY...
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Population Transformer: Learning Population-level Representations...
We present a self-supervised framework that learns population-level codes for intracranial neural recordings at scale, unlocking the benefits of representation learning for a key neuroscience...
https://openreview.net/forum?id=hVYGABOWY1
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Fatemeh_Hadaeghi
12 months ago
Excited to share our Network Reciprocity Control (NRC) algorithms for steering the degree of
#asymmetry
and
#reciprocity
in binary and weighted
#networks
while preserving fundamental network properties.
www.biorxiv.org/content/10.1...
🧵
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