Often, dissociations between metacognition and accuracy take the form of metacognitive inefficiency—confidence being less informative than it could be. Conversely, this study suggests that in multialternative choices, the metacognitive system may be more robust than the decision system.
16.10.2025 14:27 — 👍 0 🔁 0 💬 0 📌 0
New study by @ncomay.bsky.social, @guillermosolovey.bsky.social & @pablobarttfeld.bsky.social at JEP:lmc: "Decisions are based on less information than metacognitive judgments in multialternative contexts" doi.org/10.1037/xlm0...
16.10.2025 14:27 — 👍 3 🔁 2 💬 1 📌 0
Here's a free-to-read link (available until November 25th): authors.elsevier.com/c/1luLObotq7....
The original study can be found here: www.nature.com/articles/s41... @nfaivre.bsky.social @meaperei.bsky.social @francoisstock.bsky.social
09.10.2025 13:22 — 👍 2 🔁 0 💬 0 📌 0
Testing thought-probe frequency for measuring mind-wandering along with vigilance and cognitive control loss: A study with the ANTI-Vea task - Behavior Research Methods
Vigilance decrement refers to the decline in sustained attention over time during prolonged tasks, which often leads to increased errors and accidents. However, to date, there are no experimental tasks that simultaneously measure changes in vigilance, cognitive control, and mind-wandering (MW) across time-on-task. We adapted the Attentional Network Test for Interactions and Vigilance–executive and arousal components (ANTI-Vea) task to integrate mind-wandering measures along with assessments of vigilance and cognitive control. By inserting thought probes (TPs) at different frequencies per block, we aimed to identify the optimal TP rate to capture mind-wandering changes without interfering with the measurement of vigilance, thereby providing an integrative assessment of changes in mind-wandering, cognitive control, and vigilance across time. We conducted two experiments: one in the laboratory with 90 students from the National University of Córdoba, Argentina, and another online, as a replication, with 180 students from the University of Granada, Spain. Participants were divided into three groups (4, 8, 12 TPs per block) and completed the ANTI-Vea-TP task. The results revealed that the inclusion of TPs was effective in detecting changes in mind-wandering over time-on-task. Moreover, TP frequency did not have a significant effect on mind-wandering reports, vigilance, or cognitive control over time-on-task. We discuss the potential suitability of this tool for investigating the interaction between vigilance, cognitive control, and mind-wandering, in both laboratory and online environments, which is essential for evaluating different theories of vigilance decrement.
Interested in measuring vigilance, cognitive control and mind-wandering? Then you may like to check out our new article published in Behavior Research Methods: link.springer.com/article/10.3.... By Julieta Aguirre, Pablo Barttfeld, Elisa Martín-Arévalo, Juan Lupiáñez & Fernando Luna.
08.10.2025 14:26 — 👍 1 🔁 1 💬 0 📌 0
Hi! We're an interdisciplinary group from Córdoba, Argentina, studying human cognition. The lab is leaded by Dr. Pablo Barttfeld (@pablobarttfeld.bsky.social), and our research focuses on three main areas: consciousness, metacognition & attention. Follow us to get all lab's news!
08.10.2025 00:38 — 👍 5 🔁 4 💬 0 📌 1
A monthly reviews journal covering exciting developments in all areas of neuroscience.
PhD candidate@DondersInst| Formerly CNS Msc@DondersInst| Multisensory perception| Neural decoding| Temporal dynamics| System Neuroscience
Clinical neuroscientist; Interested in neural systems related to social behavior in people with severe mental illness or infectious disease
PhD student at University of Tübingen. Trying to understand how the brain integrates multiple sources of uncertainty to form a decision. 🧠
gabrielaiwama.github.io
Theor/Comp Neuroscientist (postdoc)
Prev @TU Munich
Stochastic&nonlin. dynamics @TU Berlin&@MPIDS
Learning dynamics, plasticity&geometry of representations
https://dimitra-maoutsa.github.io
https://dimitra-maoutsa.github.io/M-Dims-Blog
🐟y profiles get 🚫
Professor of Psychology @ Vanderbilt. Interested in cognitive & social neuroscience of bodily self experiences & disturbances (schizophrenia, depersonalization, autoscopy). Also, working on working memory & imagery
Ingé d'étude au labo DIPHE, Lyon II
Master degree in Neuropsychology & Clinical Neuroscience at Univ Grenoble-Alpes, Illusionnist ... sometimes both at the same time ✨️
Assistant Professor of Cognitive and Systems Neuroscience @ University of Amsterdam. Studying how arousal states shape perception and decision-making in humans and mice.
http://www.janwillemdegee.info
Soft Money Pseudoacademic!
Erratic Blogger!
Occasional Driver of Electric Boats. Still trying to find my place in the world 🏳️🌈
https://neurocritic.blogspot.com/
Postdoc in Cognitive and Computational Neuroscience at the University of Leiden, former postdoc at Ecole Normale Supérieure (Paris, France) and PhD student at Université Paris Saclay, interested in how we make decisions.
I study how the brain makes up the mind
Delusions, Hallucinations
Prediction Errors, Priors
Beliefs, Perception
He/Him
belieflab.yale.edu
Cognition, neuroscience, belief, fiction.
Author: Total bullshit (2018), Le Complotisme: cognition, culture, société (2021), Croiver (2022), L’Expertise sans peine (2023), La Force de nos bugs (2023)
https://sites.google.com/view/sebastian-dieguez/home
Ph.D. in Psychology | Currently on Job Market | Pursuing Consciousness, Reality Monitoring, World Models, Imagination with my life force. saurabhr.github.io
assistant prof at sinai | studying cognitive and affective dynamics in mental health | 🌈 (she/they)
https://www.angelaradulescu.com/
Hi 👋 I'm a postdoc in the #Neuroimmunology and #Imaging group at the @dzne.science Bonn 🧪🔬 Passionate about #ComputationalNeuroscience 🧠💻 and #NeuralModeling 🧮
🌍 fabriziomusacchio.com
👨💻 github.com/FabrizioMusacchio
🐘 sigmoid.social/@pixeltracker
computational cognitive neuroscientist (assoc prof
@unigroningen.bsky.socialc) studying mind-wandering using cogsci and AI techniques, also amateur ballet dancer and Tibetan buddhist
ARC DECRA Fellow. Head of the Prediction and Decision-Making Lab at the University of Melbourne, Australia. Decision-making, predictive brains, neural adaptation, computational neuroscience, EEG, machine learning. He/him
PhD Candidate at Laboratory for Experimental Social Psychology (LESP), @KU_Leuven | Working on language and stereotypes + social (meta)cognition
Asst. Prof of Psych & Brain Sciences at UC Santa Barbara || affective & cognitive neuroscience || formerly at UC Berkeley & UW-Madison
https://lapatelab.psych.ucsb.edu
Cognitive neuroscience postdoc at Trinity College Dublin, developing models of neural activity during decision making. @JohnPGrogan@mastodon.world. @JohnPGrogan1 on twitter