Rob Mok

＼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 cinet.jp/japanese/event… #脳科学 #neuro #ニューロ #CiNet #NICT

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.

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!

Psychophysics is a human-facing science with interventions arguably more robust than medicine. argmin.net/p/1000-hurts

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.

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.

🧠 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 doi.org/10.1101/2025.0…

(1/7) 🚨 New preprint! 🚨 @SabineMuzellec and I, go beyond one-way ANN–brain mapping to ask: 👉 Can brain activity predict ANN units? We call this Reverse Predictivity — it reveals hidden misalignments between high-performing ANNs and the primate brain. shorturl.at/kylPl

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

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

#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

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

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. openreview.net/forum?id=DtEeV…

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

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 sites.google.com/view/child2mla… and Generative Adversarial Collaboration sites.google.com/ccneuro.org/ga…. Register now!

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!

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 , doi.org/10.1101/2025.0…

🚀 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. 🧵👇

JOB ALERT: Computational Cognitive Neuroscience Postdoc position in Osaka, Japan! Possible start in October 2025 (contact me ASAP), or from April 2026. PLEASE REPOST! 1/

Please *email me before you apply* and for questions - timing, projects, etc. (robmmok [at] gmail.com). I am happy to answer any questions and chat! end/

The position is open to both experimentalist or computational folks willing to learn the other skillset. The institute has lots of resources for brain imaging and GPU compute (e.g., A100s) for ambitious projects. 5/

Although there are some projects planned there is some flexibility, so please reach out if you have project ideas. We are also interested in training models to be more human-like, and multimodal models (e.g., VLMs, multimodal LLMs). 3/