
Rob Mok
@rob_mok
Computational Cognitive Neuroscientist at Royal Holloway. Lab starting @ CiNet in Osaka (2025). Category learning to concepts in models & brains. Space. Ageing.
ID: 703994835133448192
https://sites.google.com/site/robmokbrainbob/ 28-02-2016 17:27:03
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I’m looking for a postdoc to join my lab University of Sydney for a project investigating how perception changes during walking (VR, psychophysics, EEG, AI). Full time, 3 years fixed-term position; full details here: usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_… Please repost 🥹

🚀 It’s finally out! A must-read on transcranial focused ultrasound stimulation (TUS), led by top experts, including Keith Murphy, Til Ole Bergmann and many others! The best guide (with great graphics)! 📷#TUS #BrainStimulation doi.org/10.1016/j.clin…




🚨Published today, British Neuroscience Association report and open letter to #funders in defence of preclinical / fundamental neuroscience. 🧠 Pleased to sign the open letter along with Prof Tara Spires-Jones Walton Lab Cathy Abbott. Biotechnology and Biological Sciences Research Medical Research Council UK Research and Innovation Wellcome


Very happy that this work is now published in eLife! We find that humans are unique in the way they encode pairs of stimuli, in the context of symbol-object relations. If you've learned that A->B, you spontaneously generalize it to B->A! The full story : elifesciences.org/articles/87380




20+ years ago, an idea about cortical lateralization of audition was advanced: asymmetric sampling in time AST. This extensive review/reevaluation by chantaloderbolz, me, and Martin Meyer assesses how the idea has fared. #notallwrong sciencedirect.com/science/articl…



A nice first day. Excited to start at the great CiNet CiNet (Center for Information and Neural Networks)! Looking forward to meeting everybody and to start building the lab!





Now out in Nature Human Behaviour Nature Human Behaviour: “End-to-end topographic networks as models of cortical map formation and human visual behaviour”. Please check our NHB link: nature.com/articles/s4156…

New blog w Xiaoliang (Ken) Luo, “Giving LLMs too much RoPE: A limit on Sutton’s Bitter Lesson”. The field has shifted from flexible data-driven position representations to fixed approaches following human intuitions. Here’s why and what it means for model performance bradlove.org/blog/position-…