INFO ASI - Étienne Klein perd son doctorat 🚨
Le plagiat de sa thèse, révélé par Arrêt sur images en 2024, vient d'être confirmé à l'issue de 20 mois d’enquête : près de deux tiers des pages seraient concernées. Plus d'infos ⤵️
www.arretsurimages.net/articles/the...
Analysis of #acoustic #rhythms across nearly 100 species reveals a conserved slow tempo centered around 2.7 Hz, within the delta range, suggesting a constraint rooted in conserved #neural mechanisms of #auditory perception @plosbiology.org 🧪 plos.io/4ejLRcl
The Group for Neural Theory is celebrating its 20th birthday this week with a party in Paris!
gnt20.github.io
One thing we’re celebrating is its remarkable training record
A thread…
What matters most for childhood brain organization?
We analyzed 649 variables.
The answer: Socioeconomics (SES); with brain patterns pointing at sleep & stress as drivers.
Even brain-IQ associations were better explained by SES.
In Science today: www.science.org/doi/10.1126/...
Peu après les révélations de plagiat dans la thèse d'Étienne Klein par "Arrêt sur images" en 2024, l'Université Paris Cité avait ouvert une enquête. À la suite de 20 mois de procédure, elle a découver...
Multimodal mental imagery profiles and the prevalence of aphantasia and hyperphantasia in the general population
doi.org/10.1016/j.co...
We have a new postdoc position to work on Neuro AI and human intracranial recording with Pierre Bourdillon and I:
Apply here: docs.google.com/forms/d/e/1F...
Lab info:
bourdillon-titan-lab.fr
feel free to RT ;)
Arrêt sur images
Neuropixels + Optogenetics = Neuropixels Opto
Combining high-resolution electrophysiology and optogenetics. 960 sites, 28 emitters, 2 colors.
Today in @natmethods.nature.com
doi.org/10.1038/s415...
Thanks to @wellcometrust.bsky.social, @alleninstitute.org, @hhmijanelia.bsky.social & team.
📢PhD job alert! A exciting PhD project that involves using MEG and biophysical modelling to try to predict effects of a glutamatergic treatment for psychosis... plus you can develop your own side project. Join our great team! www.ucl.ac.uk/work-at-ucl/...
PLOS Biology
Online Now: Bayesian efficient coding as a theory of perception: progress, controversies, and prospects
Video
docs.google.com
A new #bmm release is available on #CRAN. With this version, #bmm now covers basic response time models. This release contains three new models plus several usability features. Here's what's in it 🧵
venpopov.com/bmm/
#rstats #bayes #openscience
Mark D Humphries
Scott Marek
UCL is consistently ranked as one of the top ten universities in the world (QS World University Rankings 2010-2022) and is No.2 in the UK for research power (Research Excellence Framework 2021).
Bayesian efficient coding unifies two foundational theories of sensory processing: efficient coding and Bayesian inference. Central to this account is the idea that natural environmental statistics shape both how sensory information is encoded and how it is perceptually interpreted. By unifying these principles, the framework accounts for counterintuitive perceptual biases and establishes lawful relationships between environmental statistics, bias, and discrimination thresholds. In this article, we review behavioural and neural evidence for this theory in perception and cognition, as well as how short- and long-term adaptation to the environment may be expressed within the framework. We further review theoretical developments that extend the original framework, focusing on how response biases can be decomposed into encoding- and decoding-related components. A decade after its introduction, Bayesian efficient coding continues to evolve as a powerful theory, with recent extensions addressing early limitations and opening new directions for investigating perception and cognition.
Fit computational and measurement models using full Bayesian inference. The package provides a simple and accessible interface by translating complex domain-specific models into brms syntax, a powerfu...
