SP Arun

@sparuniisc.bsky.social

Neuroscientist at IISc Bangalore studying visual perception using 🐒🚶🏽‍♀️💻 https://sites.google.com/site/visionlabiisc/

A very interesting piece by @henryconklin.bsky.social et al. on how brains and LLMs acquire abstract, meaningful internal representations by compressing the information they receive. Similar ideas in my book "How we learn"! henryconkl.in/posts/i-am-a... Full paper: henryconkl.in/posts/llms-a...

i am, myself, a lossy compression – h

a companion piece to our ICLR 2026 Paper: Learning is Forgetting: LLM Training As Lossy Compression

henryconkl.in

Kindly use this new word where useful (with Rishikesh Narayanan) maux (v): to maximize an auxiliary attribute while losing sight of original goals. (e.g. A coffee shop is mauxing when it revamps its ambience and stops making good coffee)

Preprint alert! We've done the first ever wireless brain recordings from the high-level visual & motor regions (IT/PMv/PFC) in monkeys engaged in natural behaviors as well as during controlled screen-based tasks. Read below for a lay summary and the link for details! 1/8

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Is mental imagery a single process? Our meta-analysis of 46 fMRI studies suggests not. We find a key divide between object imagery (visualizing an object in rich detail) and spatial imagery (mentally transforming objects). This split mirrors the ventral and dorsal streams of vision

Join us in Woods Hole for Methods in Computational Neuroscience (MCN) at MBL (July 24–Aug 21). Four weeks of computational + systems neuroscience, hands-on training, and close interaction with an exceptional faculty.

@stefanofusi.bsky.social · 5mo ago

The deadline for applying to the Methods in Computational Neuroscience summer course at MBL in Woods Hole is approaching (March 16)! An exciting course with an amazing lineup of lecturers in a beautiful location www.mbl.edu/education/ad...

DNN models of the brain are getting bigger. Are we replacing one complicated system in vivo with another in silico? In new work, we seek the *smallest* DNN models of visual cortex, balancing prediction with parsimony. It turns out these compact models are surprisingly small! rdcu.be/e5H8G

Compact deep neural network models of the visual cortex

Nature - Parsimonious deep neural network models can be used for prediction of visual neuron responses.

rdcu.be

Fantastic post by Colin Raffel, "We Are Over-Indexing on Paper Acceptance," drafted in May 2021 (!) but only posted now. The more things change.. Last sentence: "If you want to judge a researcher’s quality, the only meaningful way is to read their papers and judge for yourself."

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Bots have made their way to Prolific experiments. Our lab has stopped online testing of adults entirely now for this reason - we want to know if what we study is real. Probably data collected 2-3 years ago are ok, but moving forward we just can't know. www.pnas.org/doi/10.1073/...

PNAS

Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...

pnas.org