out today! www.pnas.org/doi/10.1073/...

Chaz Firestone@chazfirestone.bsky.social · last mo.

You press ‘send’ on a high-stakes email but hesitate when lifting your finger. You make a chess move but linger on the piece before letting go. Familiar? In @pnas.org, Hanbei Zhou @ruizhegoh.bsky.social @ianbphillips.bsky.social & I show that response *duration* tracks confidence! shorturl.at/A9NVe

Very happy to announce that the journal publication is finally out: doi.org/10.1098/rsos... Thanks to all the great collaborators at the #NEUROHUM project, and especially to @michaelgaebler.com! Check it out if you are interested in face similarity judgments in 3D (aka David Marr's 2.5D).

Simon M. Hofmann@smnhfmnn.bsky.social · 2y ago

We are happy to share our new paper (under review) on human face perception! In this study, we investigated how face similarity judgments are affected by dynamic 3D vs. static 2D conditions 🗿. Preprint: doi.org/10.31234/osf... #FacePerception #3D #CognitiveScience #similarity #NeuroAI (1/n)

The AI hate makes me wonder whether this is common with new technologies not because they fundamentally change who we are, but because they shed a light on it. We've been cheating and exploiting one another for millennia. We just got more efficient at it.

I don’t get why some scientists can’t acknowledge our inability to explain phenomenology, which is unsurprising. How can science explain what it cannot objectively measure? "If we cannot explain it, it must be illusion" is intellectually unsatisfying and philosophically naive. Same for free will.

Earl K. Miller@earlkmiller.bsky.social · 3w ago

The “hard problem” of consciousness isn’t. The supposed gap between brain explanation and experience is a self‑serving illusion. What we call the hard problem is cognitive bias, not reality. medium.com/@timventura/... #neuroscience

Congratulations to @moazshoura.bsky.social on successfully defending his PhD! Thanks to @ccnlab.bsky.social, Kang Lee, @drmack.bsky.social, Jon Cant and @dirkbwalther.bsky.social for their thoughtful questions and feedback. Pictured here with Jon Cant and @drmack.bsky.social after the defense

This is stunning

A brief history of Open Mind 2013: Dick Aslin was disillusioned with Cognition (Elsevier). Nick Lindsay (MIT Press) wanted to create an open access cognitive science journal Nick contacted Dick, and Open Mind started. Editorial, February 2017, issue 1 of Open Mind direct.mit.edu/opmi/article...

Editorial

I am extremely pleased that Open Mind has gone from concept to reality with this inaugural issue of our first volume. It has been a long road. Nick Lindsay at MIT Press had a vision for creating an op...

direct.mit.edu

Some stats comparing Open Mind to some competitor journals

#FacePerception #VisionScience #ComputationalNeuroscience #Psychophysics

Fabian Soto@ccnlab.bsky.social · last mo.

New paper in Proceedings B: Do expectations about how a face moves depend on its shape? Using reverse correlation and generative face models, we show that face shape changes expectations of natural expression dynamics. royalsocietypublishing.org/rspb/article...

New paper in Proceedings B: Do expectations about how a face moves depend on its shape? Using reverse correlation and generative face models, we show that face shape changes expectations of natural expression dynamics. royalsocietypublishing.org/rspb/article...

I have a revision where reviewer #2 went full co-author and asked for 50+ modifications. REVIEWERS: don't co-author! focus on key issues that may change conclusions, not on everything you'd do differently. EDITORS: DO YOUR JOB, don't just forward reviews without indicating what is key to address.

Online Now: Bayesian efficient coding as a theory of perception: progress, controversies, and prospects

Bayesian efficient coding as a theory of perception: progress, controversies, and prospects

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.

dlvr.it

Not very surprised by this

BehavEcolPapers@behavecolpapers.bsky.social · 2mo ago

ICYMI: Reward magnitude determines reinforcement learning efficiency | Science @Science.org

Top story on the @nytimes.com app. A big sign that this all-important story is breaking into mainstream consciousness.

Measles vaccines save millions of lives each year. Measles used to be an extremely common disease. Just sixty years ago, over 90% of children would have been infected by it, and of those who developed symptoms, around a quarter would be hospitalized.

@silverchairnews.bsky.social The ScholarOne/Silverchair manuscript system is a NIGHTMARE: outdated LaTeX stack (2013) breaks with docs that compile in Overleaf, blocks submission for “missing resources” when the log says no issues and PDF compiles, and NO SUPPORT except for a useless chatbot

Face-selective neurons in the macaque visual cortex dynamically change their tuning properties, a new study finds. By Holly Barker www.thetransmitter.org/neural-codin...

Switching neural code may solve ongoing face-recognition debate

Face patch cells in macaque monkeys initially respond to images of any object but rapidly transition to attend to faces exclusively, a new study finds.

thetransmitter.org

In August, Jay Bhattacharya said “Training future biomedical scientists” was the 1st priority for his version of NIH. But talk is cheap. Let’s see how JB’s doing. 🤔 NIH supports trainees mostly via fellowship (F), training (T), and career development (K) awards. Here are funding curves for each.🧵

Looks like a very interesting opportunity for someone looking for a postdoc in attention

Mike Le Pelley@mikelepelley.bsky.social · 4mo ago

We're hiring! Looking for a postdoc to work at UNSW Sydney, studying impacts of reward and information on attention, using eye-tracking, EEG, and modelling - with Kelly Garner, Daniel Pearson and me. Application link below, please spread the word! external-careers.jobs.unsw.edu.au/cw/en/job/53...

DOGGETT: Doesn't your budget propose another 12% cut for NIH? VOUGHT: Most of what you said is untrue. NIH was not cut at all-- D: My Q is don't you propose another 12% cut? VOUGHT: We propose a cut D: Is it your feeling that we just can't afford to invest more in doing something about cancer?

My (very) short piece on how prenatal experience with the mother's voice may rapidly scaffold the development of face perception in newborn infants is now out in @natrevpsychol.nature.com ! www.nature.com/articles/s44...

I write satire to deal with the more surreal parts of academic life. Just posted a new one about a faculty meeting. Hope it helps you cope after yours. medium.com/@facaro/the-... #academia #sciencehumor #AcademicSky #AcademicLife

The Faculty Meeting

The chair cleared his throat.

medium.com

youtu.be/SEwiOykoXXc?...

The real business of fake science

YouTube video by Christophe

youtu.be

We believe visual neuroscience is undergoing a paradigm shift — and the Beyond Binding exchange in @TrendsCogSci makes it visible. Five papers, excellent critics, and a discussion that sharpened and nuanced our argument. Thread 👇

🧠 Resting-state fMRI is often treated as the gold standard for studying the brain’s intrinsic organization. But is it actually the best way to estimate functional architecture? We tested this directly. 🧵1/8

#VisionScience #FacePerception #Neuroscience #fMRI #MVPA #NeuralRepresentation

Fabian Soto@ccnlab.bsky.social · 5mo ago

New paper in Cortex: Are representations of face shape and motion invariant or context-dependent? Using fMRI decoding, we show both overlap and context sensitivity across the face network, challenging simple ventral-shape / dorsal-motion models. authors.elsevier.com/a/1mgxY_FxMe...

New paper in Cortex: Are representations of face shape and motion invariant or context-dependent? Using fMRI decoding, we show both overlap and context sensitivity across the face network, challenging simple ventral-shape / dorsal-motion models. authors.elsevier.com/a/1mgxY_FxMe...

After several years of work, my lab is starting to put out our first papers on learning in a unicellular organism (Stentor coeruleus). Here we show evidence for a form of associative learning in Stentor: www.biorxiv.org/content/10.6...

Our reply to 11 commentaries on our article ("Rethinking category-selectivity in human visual cortex") is out in Cognitive Neuroscience! Thanks to @susanwardle.bsky.social @maryamvaziri.bsky.social Dwight Kravitz @cibaker.bsky.social and all who contributed! 1/x www.tandfonline.com/doi/full/10....

What behavioral relevance is (not)

We are thankful for the thoughtful commentaries of our colleagues. In our discussion article, we argued for a course correction to how the field approaches the organization of visual function in oc...

tandfonline.com

New preprint and simulator of associative learning attentional models. Have fun! 👁️ arxiv.org/abs/2602.07519 cal-r.org/index.php?id... #simulation #associative_learning #attention

PALMS: Pavlovian Associative Learning Models Simulator

Simulations are an indispensable step in the cycle of theory development and refinement, helping researchers formulate precise definitions, generate models, and make accurate predictions. This paper i...

arxiv.org