Giving an introductory lecture on DNNs and their use in CogNeuro tomorrow, and had to turn a highlight from @cogcompneuro.bsky.social 2024 into this.

thanks to the iBBA, to all the people that assited to the workshop and specially to @robince.bsky.social and @canalesjohnson.bsky.social for their enriching and thought provoking lectures/tutorials

Reduced confidence associated with aging increases information seeking under uncertainty, whereas confidence alterations associated with symptoms of psychopathology do not. Out now w/ Greta Mohr & @robince.bsky.social. #neuroskyence #compneuro #PsychSciSky: rdcu.be/dSPdz

Great new paper by Yuening Yan & Philippe Schyns and colleagues. Uses MEG and very sophisticated analyses to demonstrate that the prediction of specific stimulus features, rather than coarse categories, biases perception. #neuroskyence #compneurosky

2/ Next, we'd like to give a huge round of applause to our stellar tutorial speakers, @pruhnau.bsky.social (Fieldtrip), @tanjucka.bsky.social (Microstates), Ana Klimovich Gray (Mne_python), @robince.bsky.social (Bayesian Prevalence) who couldn't have done it any better.

Postdoctoral position in my group @theCHBH funded by the 'Attention to Reading' Wellcome Discovery project. We will develop computational models of the human ventral system constrained by MEG data developing 'dynamical Deep Neural Networks'; #NeuroAI www.jobs.ac.uk/job/DDJ646/r...

The deadline to apply for this 7T focused Professor/Senior Lecturer/Lecturer (Research & Teaching Track) position has now been extended to October 18th. So two more weeks to apply at: www.jobs.ac.uk/job/DCB559/p...

Lovely study linking individual differences in confidence and information seeking to ageing and mental health - interesting to see underconfidence with age can be ameliorated with greater info seeking - by @chrisbenwell.bsky.social and team psyarxiv.com/vc7ye/

🌟First post over here, which I'm very happy to use to share a new paper in TICS with Angela Radulescu & Kara Emery. 🌟 We review work taking an approach we refer to as "naturalistic reinforcement learning", which uses more naturalistic approaches to study learning and decision-making.