New OPM-MEG lab installed! 🧠 Cognitive Neuroscience Hub Psychological Sciences UniMelb MDHS Faculty of Engineering and Information Technology

I hope this puts a bit of a stop to the nonsense that Bayesian inference would be unaffected by optional stopping (and other QPRs)

I am so happy to finally have this paper out into the world! We preoperatively measured EEG and ERPs in older adults weeks prior to their cardiac procedure (and delirium) to investigate whether we can index neural vulnerability to developing delirium 🧠 academic.oup.com/braincomms/adv…

Thank you Anthony Harris for speaking to us yesterday!

Great summary of new developments in the dopamine/reward/learning story, and how we can have constructive debates while working with specific and broad classes of models. Feels like we are also entering this type of debate for sensory prediction error models as well.

Great commentary by Morgan Fitzgerald, Eena Kosik-Rose, and Brad Voytek on @schmidtfa1's work studying the complex relationship between cardiac and M/EEG signals in aging.🙏 elifesciences.org/articles/102878 Department of Psychology, Univ. Salzburg @PLUS_1622

Are you looking for a precise monitor for vision science, eye-tracking, or EEG? In a new preprint, we tested an interesting new display option with excellent timing performance: "High-speed" organic light-emitting diode (OLED) monitors. A summary:🧵[1/n]

New results from the lab in collaboration with Alex Maier and Allen Institute via #OpenScope: x.com/biorxiv_neursc… We tested key hypotheses made by popular Predictive Coding (PC) theories with Multi-Area, High-Density Laminar Neurophysiology (MaDeLaNe) in mice and monkeys.

André M. Bastos Allen Institute Also, we have been collectively thinking about next steps for a while now. Everybody can contribute to our brain storming here : docs.google.com/document/d/1g-…

New results on how gamma/beta oscillations, spiking, and Predictive Routing are disrupted in unconsciousness! Incredible coincidence: The study was published in PNAS as first-author Sophy Yihan Xiong presents the work at #sfn24 poster F7! Come by and learn more! pnas.org/doi/10.1073/pn…

Nice quick read with an important point: even if a model predicts brain data well it doesn't mean the model uses the same mechanism the brain does. More expressive models generally do better than less expressive models regardless of mechanism.

Finally! This is the version of record; it's also the version to read, thanks to the review process at eLife. The finding was out of reach before macaque Neuropixels. eLife - the journal: Direct observation of the neural computations underlying a single decision doi.org/10.7554/eLife.…

Yang Xiang has a new paper with me and Kevin Dorst showing that you don't find a gambler's fallacy in probability judgments (by you do in point predictions): osf.io/preprints/psya… This dissociation suggests that the gambler's fallacy doesn't arise from probabilistic reasoning.

Thank you so much Adam Lowet and @naoshigeuchida for writing such a thoughtful review of our paper! sciencedirect.com/science/articl…

Happy to see this paper finally out now in PBR! Psychonomic Society In it we ask whether statistical learning can occur for unattended items: it is already well known that learning can alter attention, but does attention also alter learning? rdcu.be/dY7L3

Visceral afferent training in action -- a follow up to Daniel Feuerriegel Jonathan E. Robinson Dr. Kelsey Perrykkad & my 2023 PPS paper -- out now in Developmental Review

New preprint from the lab! We used EEG⚡🧠 to map how 12 different food attributes are represented in the brain. 🍎🥦🥪🍙🍮 biorxiv.org/content/10.110… Led by Violet Chae in collaboration with Dr. Tijl Grootswagers and Stefan Bode