I thought it could be nice to connect the community of researchers exploring body-brain interactions on bsky, so here is the Body-Brain Interactions Starter Pack! 🫀🫁👀🧠 #neuroskyence#academicskygo.bsky.app/Fwqeu32
Exciting to see an updated version of this work out there :) 👇
Long overdue thread on: ✨The generalised hierarchical Gaussian filter (gHGF)✨ Ever wanted to build your own HGF without deriving/implementing new equations? Ever wondered how volatility beliefs in the HGF relate to predictive coding? Check this out: arxiv.org/abs/2305.10937
Hierarchical Bayesian models of perception and learning feature prominently in contemporary cognitive neuroscience where, for example, they inform computational concepts of mental disorders. This...
2-3 year postdocs for researchers "with a background in philosophy or psychology, specialising in epistemology and/or philosophy of psychiatry. The successful applicant will be part of a project on epistemic rationality, mental disorder and stigmatization". #mentalhealth#philsky#philmed#philsci
Ledig stilling ved Institut for Kultur og Samfund - Filosofi, fag, Aarhus Universitet
We have a new preprint out, with Teresa Schuhmann, Alex Sack and Catherine Tallon-Baudry. I think our findings give some interesting leads on the various mechanisms underlying visceral influences on the motor system and how we conceptualize interoception as a whole. #neuroskyence
The cardiac, respiratory and gastric rhythms independently modulate corticospinal excitability https://www.biorxiv.org/content/10.1101/2024.09.10.612221v1
Interoception refers to the sensing of the internal state of the body and encompasses various bodily
#Neuroskyence#PsychSci#computationalpsychiatry#NetworkScience#compneurosky
We will be presenting these tools, as well as other major updates in the framework, at the Computational Psychiatry Course in Zurich next week (www.translationalneuromodeling.org/cpcourse/), so I look forward to seeing some of you there at the tutorial session on Saturday.
An educational course about computational psychiatry from UZH & ETH Zurich.
You can find live examples of these new possibilities in the documentation: ilabcode.github.io/pyhgf/learn...., and we expect this list to continue to grow in the upcoming months.
I think that the possibilities that this framework is adding to computational psychiatry are truly amazing, and we cannot wait for the community to start using and extending it.
In this paper, Lilian is laying the foundations for rethinking predictive coding neural networks that have kept us busy for the last ... well... too many months.
Exciting to see an updated version of this work out there :) 👇
Long overdue thread on: ✨The generalised hierarchical Gaussian filter (gHGF)✨ Ever wanted to build your own HGF without deriving/implementing new equations? Ever wondered how volatility beliefs in the HGF relate to predictive coding? Check this out: arxiv.org/abs/2305.10937
Hierarchical Bayesian models of perception and learning feature prominently in contemporary cognitive neuroscience where, for example, they inform computational concepts of mental disorders. This...