Shrey Dixit
@shreydixit.bsky.social
📤 45
📥 80
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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
3 months ago
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Shrey Dixit
Matthias Michel
5 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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Shrey Dixit
Marcus Ghosh
about 2 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
about 2 months ago
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Brad Aimone
about 2 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
2 months ago
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Shrey Dixit
Ian Holmes
3 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
3 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
3 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
3 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
3 months ago
1
26
15
reposted by
Shrey Dixit
Saikat Ray
8 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
10 months ago
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Shrey Dixit
Patrick Mineault
10 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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Shrey Dixit
Fatemeh_Hadaeghi
10 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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