M Ganesh Kumar
@mgkumar138.bsky.social
๐ค 244
๐ฅ 216
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Neuro-AI Postdoc @ MPI Biological Cybernetics. Previously @Harvard, A*STAR & NUS. ๐ธ๐ฌ
reposted by
M Ganesh Kumar
Panos Roussos
9 days ago
Now out in
@nature.com
: Biological insights into schizophrenia from ancestrally diverse populations.
@sinaibrain.bsky.social
@sinaigenetics.bsky.social
cs.bsky.social
@timbigdeli.bsky.social
#CDNeurogenomics
#MountSinaiPsych
#MillionVeteranProgram
and many collaborators Read:
rdcu.be/eZ7he
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Biological insights into schizophrenia from ancestrally diverse populations
Nature - Genome-wide association studies incorporating data for populations of African ancestry provide an expanded view of the genetic basis of schizophrenia, which has previously been studied...
https://rdcu.be/eZ7he
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M Ganesh Kumar
Nature
8 days ago
Rates of ADHD have been rising quickly over the past few decades, for reasons that are not entirely clear โ a mystery that underscores how much we still have to learn about the condition.
go.nature.com/49TQWG5
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ADHD is on the rise, but why?
The more we learn, the less we seem to understand this condition.
https://go.nature.com/49TQWG5
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reposted by
M Ganesh Kumar
Mark Brandon
16 days ago
Iโm very happy to share the latest from my lab published in @Nature Hippocampal neurons that initially encode reward shift their tuning over the course of days to precede or predict reward. Full text here:
rdcu.be/eY5nh
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All theory is wrong until verified by data. Greatly indebted to
@mhyaghoubi.bsky.social
,
@markbrandonlab.bsky.social
,
@douglasresearch.bsky.social
for finding the hippocampus encoding reward prediction! Grateful to my advisor
@cpehlevan.bsky.social
,
@kempnerinstitute.bsky.social
.
#RL
#hippocampus
add a skeleton here at some point
11 days ago
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reposted by
M Ganesh Kumar
PessoaBrain
5 months ago
๐๐ฟ๐ฎ๐ถ๐ป-๐ฏ๐ผ๐ฑ๐ ๐ฝ๐ต๐๐๐ถ๐ผ๐น๐ผ๐ด๐: ๐๐ผ๐ฐ๐ฎ๐น, ๐ฟ๐ฒ๐ณ๐น๐ฒ๐ , ๐ฎ๐ป๐ฑ ๐ฐ๐ฒ๐ป๐๐ฟ๐ฎ๐น ๐ฐ๐ผ๐บ๐บ๐๐ป๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป Excellent review paper about reactive and anticipatory processes.
#neuroskyence
doi.org/10.1016/j.ce...
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I am extremely grateful to be awarded the National University of Singapore (NUS) Development Grant, and to be a Young NUS Fellow! Look forward to collaborating with the Yong Loo Lin School of Medicine on exciting projects. This is my first grant and hopefully many more to come!
#NUS
#NeuroAI
5 months ago
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M Ganesh Kumar
Ann Kennedy
5 months ago
I wrote a Comment on neurotheory, and now you can read it! Some thoughts on where neurotheory has and has not taken root within the neuroscience community, how it has shaped those subfields, and where we theorists might look next for fresh adventures.
www.nature.com/articles/s41...
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Theoretical neuroscience has room to grow
Nature Reviews Neuroscience - The goal of theoretical neuroscience is to uncover principles of neural computation through careful design and interpretation of mathematical models. Here, I examine...
https://www.nature.com/articles/s41583-025-00965-8.epdf?sharing_token=Vv_dTCdqVQid092mEumTqtRgN0jAjWel9jnR3ZoTv0OYxbleeyUaomEFNMTDzwXyIgMDT-OpOB8cASARvDUrJBBwSctjElnMOMY9l6yVUtZDt8tnWw7JP0q1rN1gq19Kc0_TfjMbZblsugJ3JwEv-xyed4XsTP7EyDwaWvBzqW4%3D
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reposted by
M Ganesh Kumar
Elliott Wimmer
5 months ago
๐งต New paper! We studied depression symptoms and goal-directed decisions under uncertainty
@shiyiliang.bsky.social
, with
@evanrussek.bsky.social
&
@robbrutledge.bsky.social
Surprisingly, we found that apathyโanhedonia was linked to enhanced goal-directed behavior.
www.biorxiv.org/content/10.1...
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https://www.biorxiv.org/content/10.1101/2025.08.14.670362v2
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Not just for AI but these theories can improve our understanding of biological networks too!
add a skeleton here at some point
5 months ago
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M Ganesh Kumar
tal boger
5 months ago
On the left is a rabbit. On the right is an elephant. But guess what: Theyโre the *same image*, rotated 90ยฐ! In
@currentbiology.bsky.social
,
@chazfirestone.bsky.social
& I show how these imagesโknown as โvisual anagramsโโcan help solve a longstanding problem in cognitive science.
bit.ly/45BVnCZ
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M Ganesh Kumar
Tomer Ullman
5 months ago
trying this with GPT-5 and charting new frontiers in gaslighting
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M Ganesh Kumar
David G. Clark
5 months ago
Wanted to share a new version (much cleaner!) of a preprint on how connectivity structure shapes collective dynamics in nonlinear RNNs. Neural circuits have highly non-iid connectivity (e.g., rapidly decaying singular values, structured singular-vector overlaps), unlike classical random RNN models.
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Connectivity structure and dynamics of nonlinear recurrent neural networks
Studies of the dynamics of nonlinear recurrent neural networks often assume independent and identically distributed couplings, but large-scale connectomics data indicate that biological neural circuit...
https://arxiv.org/abs/2409.01969
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1 proceeding and 2 extended abstracts at Cognitive Computational Neuroscience (CCN) Conference 2025! Short summaries and links are in the thread. Look forward to the discussions!
#CCN25
6 months ago
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M Ganesh Kumar
Nature Reviews Neuroscience
6 months ago
The emergence of NeuroAI: bridging neuroscience and artificial intelligence โ a Comment article by Sadra Sadeh & Claudia Clopath
@sdrsd.bsky.social
@clopathlab.bsky.social
โช
#neuroscience
#neuroskyence
www.nature.com/articles/s41...
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The emergence of NeuroAI: bridging neuroscience and artificial intelligence - Nature Reviews Neuroscience
Neuroscience has inspired artificial intelligence (AI) for decades but, in recent years, AI tools have begun to revolutionize neuroscience research. The emerging field of NeuroAI has the potential to ...
https://www.nature.com/articles/s41583-025-00954-x?utm_source=bluesky&utm_medium=social_&utm_campaign=nrn
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reposted by
M Ganesh Kumar
Hyunwoo Gu
6 months ago
Excited to share that our paper is now out in Neuron
@cp-neuron.bsky.social
(
dlvr.it/TM9zJ8
). Our perception isn't a perfect mirror of the world. It's often biased by our expectations and beliefs. How do these biases unfold over time, and what shapes their trajectory? A summary thread. (1/13)
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Attractor dynamics of working memory explain a concurrent evolution of stimulus-specific and decision-consistent biases in visual estimation
People exhibit biases when perceiving features of the world, shaped by both external stimuli and prior decisions. By tracking behavioral, neural, and mechanistic markers of stimulus- and decision-rela...
http://dlvr.it/TM9zJ8
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reposted by
M Ganesh Kumar
Andrew Lampinen
6 months ago
In neuroscience, we often try to understand systems by analyzing their representations โ using tools like regression or RSA. But are these analyses biased towards discovering a subset of what a system represents? If you're interested in this question, check out our new commentary! Thread:
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M Ganesh Kumar
Sam Gershman
6 months ago
A landmark volume, The Handbook of Dopamine, is now online:
www.sciencedirect.com/handbook/han...
Big kudos to the editors, Stephanie Cragg and Mark Walton, for putting this together.
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Handbook of Behavioral Neuroscience | Volume 32: The Handbook of Dopamine | ScienceDirect.com by Elsevier
Read the latest chapters of Handbook of Behavioral Neuroscience at ScienceDirect.com, Elsevierโs leading platform of peer-reviewed scholarly literature
https://www.sciencedirect.com/handbook/handbook-of-behavioral-neuroscience/vol/32/suppl/C
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reposted by
M Ganesh Kumar
David Sussillo
6 months ago
Coming March 17, 2026! Just got my advance copy of Emergence โ a memoir about growing up in group homes and somehow ending up in neuroscience and AI. Itโs personal, itโs scientific, and itโs been a wild thing to write. Grateful and excited to share it soon.
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M Ganesh Kumar
Dan Goodman
7 months ago
How can we test theories in neuroscience? Take a variable predicted to be important by the theory. It could fail to be observed because it's represented in some nonlinear, even distributed way. Or it could be observed but not be causal because the network is a reservoir. How can we deal with this?
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M Ganesh Kumar
Grace Lindsay
6 months ago
This summer my lab's journal club somewhat unintentionally ended up reading papers on a theme of "more naturalistic computational neuroscience". I figured I'd share the list of papers here ๐งต:
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First
#ICML2025
conference proceeding (
icml.cc/virtual/2025...
)! We (
@frostedblakess.bsky.social
,
@jzv.bsky.social
,
@cpehlevan.bsky.social
) developed a simple model to better understand state representation learning dynamics in both artificial and biological intelligent systems!
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ICML Poster A Model of Place Field Reorganization During Reward MaximizationICML 2025
https://icml.cc/virtual/2025/poster/46112
7 months ago
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State representation learning in the hippocampus?
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9 months ago
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I'm heading back to Singapore for ICLR25! Hit me up for discussions or where to find good food!
#neuroai
#home
add a skeleton here at some point
9 months ago
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New preprint! We trained an RNN using RL to solve a decision making task used to characterize suboptimal decision making by Schizophrenic patients. First project exploring comp psych models, thanks to
@adam-manoogian.bsky.social
@shawnrhoadsphd.bsky.social
@bqian.bsky.social
@cpehlevan.bsky.social
add a skeleton here at some point
10 months ago
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I am speaking at COSYNE 2025. Please check out my talk if you're attending the event!
#cosyne2025
#cosyne25
10 months ago
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Our Model on Place Field Reorganization with
@frostedblakess.bsky.social
,
@jzv.bsky.social
,
@cpehlevan.bsky.social
has been accepted at COSYNE! Look forward to sharing it with everyone!
www.biorxiv.org/content/10.1...
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A Model of Place Field Reorganization During Reward Maximization
When rodents learn to navigate in a novel environment, a high density of place fields emerges at reward locations, fields elongate against the trajectory, and individual fields change spatial selectiv...
https://www.biorxiv.org/content/10.1101/2024.12.12.627755v1
about 1 year ago
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Our preprint with
@frostedblakess.bsky.social
,
@jzv.bsky.social
,
@cpehlevan.bsky.social
is out! We develop a simple reinforcement learning model that recapitulates 3 disparate hippocampal dynamics. With ablation studies, these representations improve the speed and flexibility of policy learning.
about 1 year ago
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