Brain imaging and behavioural research on face perception and social decision making
London, UK
Joined April 2016
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Recurrent vision models are examined for how top-down feedback and neural variability drive robust inference. This question is central to understanding how biological systems maintain stable perception despite noisy inputs.
cell.com/patterns/fulltext/S…
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Crows make perceptual decisions twice as fast as primates.
thetransmitter.org/behavior/…
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Privileged representational axes in biological and artificial neural networks dlvr.it/TW2NzQ
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A crisis we need to confront but probably won’t: more than ever before we must stop the model of training endless amounts of scientists for whom there are no secure jobs. We need smaller, leaner teams with greater expertise. Staff scientists not postdocs and PIs.
PhD opportunity in quote + now two more opportunities via SEDarc: One more forensic psychology face identification, the other more technical, to compare human and deep learning face identification. See ads in link in reply.
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⏰ Two more days to apply as a student assistant at our lab. The chosen candidate will support us in preparing a methods workshop funded by the @VolkswagenSt , taking place at Herrenhausen Palace in Hannover next spring.
Submit your application by Sunday!
📣 Come and work with us!
We’re looking for a Student Assistant (6 h/week, 12-month contract) to help organise an international workshop on benchmarking approaches in cognitive science. Apply by 13 Sept 2026.
tinyurl.com/studentajob
#CognitiveScience #neuroscience #StudentJobs
In link go all the way to the bottom and click on Faculty of Science to find my ad. My email if you click on my name. Happy to receive queries.
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This paragraph from a good article on administrative bloat in higher ed might be the head-hurtingest thing I've read today
Please help my colleague with her study on reasoning and problem solving. It's a quick online study and will help a promising student and contribute to understanding how human (and AI) think and reason! Just follow the link in the reply. Thanks!
Our new EEG+modelling paper is out now, led by Christina Dimitriadou, which links P300 and beta power to probabilistic beliefs and inferences in the beads task. See below for link.
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New work from @moran_rani & colleagues! Can simple model-free reinforcement learning explain decisions based on evidence accumulation (e.g., as in the drift diffusion model)? 🤔Check out the paper exploring this fascinating theoretical framework: direct.mit.edu/neco/article-…
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Check out this new work from @moran_rani and colleagues, who used reinforcement learning to study the cognitive biases that affect us when forming beliefs based on non-credible information scholar.google.com/citations…
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Unfamiliar face matching is difficult. The average person has an error rate ~20%. And it's hard to improve. In our new study, we find an 8% improvement in face matching performance via the "wisdom of the crowd within" effect. Paper: journals.sagepub.com/doi/abs…
Current / recent reading:
A study of Dogen (Masao)
Denkoroku (Keizan)
Realizing Genjokoan (Okumura)
Bendowa Commentary (Uchiyama)
I am a Cat (Soseki)
Setting Sun, No longer Human (Osamu)
Daoism Explained (Moeller)
Autobiography of a Yogi (Yogananda)
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Re career advice in economics: You should be very cautious of privileged professors telling you what worked for them.
Three reasons: (1) there's selection on the dependent variable, (2) most people in these positions are not very open to the possibility that they got there because they effectively won something like a lottery or graduated when it was generally much easier to get these academic jobs: they tout the importance of merit and hard work, in part because it probably makes them feel that they "deserved" their luck, and (3) despite what anyone says, there are massive advantages to educational pedigree in econ academia.