Rob Mok

Computational Cognitive Neuroscientist at CiNet & Osaka University. Category learning to concepts, ageing in models & brains.

[Gal Vishne @neurogal.bsky.social @neuro_gal]

Arrived @ St. Pete's for #VSS2026 @VSSMtg😎🌴

If you're around - come check out my talk on Monday!

Revisiting Iconic Memory with a New Experimental Paradigm
Room 2
May 18th, 10:45 (1st talk)

Super fun collaboration with John Morrison & my 1st study from Mike @shadlen's lab🤩

[Rob Mok @Rob_Mok]

@manuelbaltieri This might be a stipend in addition to their own postdoc salary, I believe. "Be employed in their home country and commit to returning after the fellowship". If so, that's pretty good.

[CiNet (Center for Information and Neural Networks) @cinet_info]

＼参加者募集中📢／
3/9(月)・11(水)開催
「大学生のためのCiNet研究ワークショップ」
9日はオンライン、11日はオンサイト！
CiNetの研究紹介やディスカッション、実験体験、施設見学などを実施します。
➡詳細・申込はこちら
https://t.co/KKeZv7oEVo

#脳科学 #neuro #ニューロ #CiNet #NICT

[Cliona O'Doherty @ClionaODoherty]

1/7 Does the infant brain have representational structure? 👶🧠In the FOUNDCOG project, we scanned 134 awake infants using fMRI. Published in Nature Neuroscience, our research reveals 2-month-old infants already possess complex visual representations in VVC that align with DNNs.

[Kording Lab 🦖 @KordingLab]

I love this so much. After pushback on his recent "Medicine is the only field that reaches 6 sigma" with "my field, psychophysics is so awesome" he posted this. Hurray all Psychophysicists. LETS CELEBRATE PSYCHOPHYSICS. An island of large effects is us!

[Ben Recht @beenwrekt]

Psychophysics is a human-facing science with interventions arguably more robust than medicine. https://t.co/6voyQP367j

[NeuroWoodworks @NeuroWoodworks]

The most complex piece I ever made, the famous Purkinje neuron drawn 100 years ago by Ramon y Cajal. It took me more than 30h of cutting with a scroll saw.

[Sam Nastase @samnastase]

I'm recruiting PhD students to join my new lab in Fall 2026! The Shared Minds Lab at @USC will combine deep learning and ecological human neuroscience to better understand how we communicate our thoughts from one brain to another.

[Steven scholte @hsteven9]

🧠 New preprint: Why do deep neural networks predict brain responses so well?
We find a striking dissociation: it’s not shared object recognition. Alignment is driven by sensitivity to texture-like local statistics.
📊 Study: n=57, 624k trials, 5 models https://t.co/GSowf8JYUA

[Rob Mok @Rob_Mok]

As some of you might know, I am also hiring a postdoc in Osaka. Feel free to talk to Akilles about what it's like to work with me :). 3/3

[Rob Mok @Rob_Mok]

#CCN2025 looks so good, I am absolutely gutted to miss it! But I am happy that my PhD student Akilles Rechardt will be presenting "Explaining neural mechanisms of age-related dedifferentation in the ventral stream through deep neural networks" (B52, Session B: Wed 13, 1-4pm). 1/3

[Rob Mok @Rob_Mok]

We have surprising results on how neurodegeneration/damage can lead to dedifferentiation of category selectivity in ageing.

Sneak peek: different predictions for white and gray matter damage! 2/3

[Giacomo Aldegheri @gialdegheri]

Folks at #CCN2025, drop by my poster tomorrow to hear about the fun task I have been developing with Roland Fleming, to gauge internal models of diverse physical objects in a controlled way! There will be a demo as well 🕹️

Tuesday, August 12, 1:30 – 4:30 pm, de Brug & E‑Hall

[Mick Bonner @michaelfbonner]

Do DNNs represent images in the same way as the human brain? Our new work in #CCN2025 Proceedings suggests that DNNs and brains only agree on the gist but not the actual details of what a scene looks like. https://t.co/4w8PZGIJtb

[Tim Kietzmann @TimKietzmann]

OK, time for a CCN runup thread. Let me tell you about all the lab’s projects present at CCN this year. #CCN2025

[Rhodri Cusack @rhodricusack]

Not just one, but two fantastic chances to discuss how infant development can inform machine learning and vice-versa at CCN 2025 in Amsterdam!!! Satellite workshop https://t.co/40nkdcG7e6
and Generative Adversarial Collaboration https://t.co/uGg5LOSYtE.

Register now!

[Tim Kietzmann @TimKietzmann]

Hi, we will have three NeuroAI postdoc openings (3 years each) to work with Sebastian Musslick (@smusslick), Pascal Nieters and myself on task-switching, replay, and visual information routing.

Reach out if you are interested in any of the above, I'll be at CCN next week!

[katja heuer🦋k4tj4.bsky.social🐘[email protected] @katjaQheuer]

1
To predict the behaviour of a primate, would you rather base your guess on a closely related species or one with a similar brain shape? We looked at brains & behaviours of 70 species, you’ll be surprised!

🧵Thread on our new preprint with @R3RT0 , https://t.co/668msRHMNu

[Aran Nayebi @aran_nayebi]

🚀 New Open-Source Release! PyTorchTNN 🚀

A PyTorch package for building biologically-plausible temporal neural networks (TNNs)—unrolling neural network computation layer-by-layer through time, inspired by cortical processing. PyTorchTNN naturally integrates into the Encoder-Attender-Decoder (EAD) architecture (Chung*, Shen* et al., 2025), which flexibly combines diverse neural networks, motivated by the fact that no single model (Transformer, SSM, RNN) dominates all sequence learning tasks.
🧵👇