Happening this morning at #CCN poster session C, @zahmb.bsky.social will present ‘Mechanisms of Emergent Analogical Mapping’ 2026.ccneuro.org/poster/?id=p... please check it out if you’re at CCN!
Poster Presentation
2026.ccneuro.org
Saurabh
@saurabhr.bsky.social
Looking for research scientist or post-doc opportunities. Ph.D. in Psychology (Behavioral & Cog Neuro) | saurabhr.github.io
I keep seeing/hearing people say that there aren't any open-science and meta-research events. Collecting and curating these the past month has shown me there is a LOT going on, just maybe difficult to keep track. See screenshots, take your pick. Metaventory can help: metaventory.vercel.app/events
After five years of confused staring at Greek letters, it is my absolute pleasure to finally share our (with @smfleming.bsky.social) computational model of mental imagery and reality monitoring: Perceptual Reality Monitoring as Higher-Order inference on Sensory Precision ✨ osf.io/preprints/ps...
OSF
osf.io
With support from TWCF, researchers at @harvard.edu & the Global Development Incubator developed a trivia game that pairs Republicans and Democrats to cooperate as partners. Contestants gained an understanding that people are more than their political beliefs. 👉 https://bit.ly/4gJn2Jv
Can a Trivia Game Help Heal Political Division? Joshua Greene Discusses "Tango" on "Here & Now"…
What happens when strangers with different political views work together instead of debating one another?
templetonworldcharity.org
The CogSci Mind Challenge is ALL NEW for 2026! Choose your format: video, podcast, animation, visual explainer, blog post, and more! New formats. New possibilities. Same challenge: make cognitive science accessible and engaging. Deadline: Aug. 26🗓️ cognitivesciencesociety.org/cogsci-mind-...
Code profiling russpoldrack.substack.com/p/code-profi... - the latest in my Better Code, Better Science series
Code profiling
Better Code, Better Science: Chapter 10, Part 3
russpoldrack.substack.com
Validated against the original MATLAB pipeline across 6 published datasets (Haddara, Maniscalco, Rouault, Shekhar, Locke). Core benchmark profiles replicate at r = 1.000.
metasignal also ships itmc, an experimental information-theoretic metacognition module: meta-I, meta-Ir1, meta-Ir1_acc, meta-Ir2, RMI (Dayan, 2023; Rausch et al., 2025). Included today, not a roadmap item. Cross-validated against R's statConfR to machine precision (r = 1.0000).
We'd love to hear from anyone who tries metasignal out: bugs, feature requests, use cases we haven't thought of, all welcome. #Metacognition #DecisionMaking #SignalDetectionTheory #CognitiveScience #ComputationalPsychology #NeuroAI
One Python function, all 17 @dobyrahnev.bsky.social (2025) measures, plus d', criterion, mean confidence. 26 numbers back from a single call.
There are 17 different methods to measure whether confidence tracks accuracy, and these do not include Bayesian or Information Theory based measurements. We present MetaSignal with @makwana.bsky.social @lazyneuron.bsky.social and @brianodegaard.bsky.social to have common platform to access them.
Install: pip install git+https://github.com/saurabhr/metasignal.git GitHub Repo: github.com/saurabhr/metasignal Documentation: metasignal.readthedocs.io Future Roadmap: metasignal.readthedocs.io/en/latest/roadmap/ Preprint: arxiv.org/abs/2607.29093 #Metacognition #Information #Bayesian #NeuroAI
GitHub - saurabhr/metasignal: A Comprehensive Package for Signal Detection Theory and Metacognitive Measures
A Comprehensive Package for Signal Detection Theory and Metacognitive Measures - saurabhr/metasignal
github.com
There are 17 different methods to measure whether confidence tracks accuracy, and these do not include Bayesian or Information Theory based measurements. We present MetaSignal with @makwana.bsky.social @lazyneuron.bsky.social and @brianodegaard.bsky.social to have common platform to access them.
The project was inspired and is connected to our now widely used "Effect size and confidence intervals guide" (matthewbjane.quarto.pub) that was an amazing effort by Matt and Qinyu, and a group of statisticians, and we're hoping to do more versions of in the upcoming years.
Guide to Effect Sizes and Confidence Intervals
matthewbjane.quarto.pub
Maybe I'm missing something, but isn't this the message from "tit for tat" many decades ago? neurosciencenews.com/social-coope.... e.g., see: cs.stanford.edu/people/erobe...
Rethinking the Prisoner's Dilemma: How Cooperation Wins - Neuroscience News
Simple opponent-specific responses allow cooperation to spontaneously evolve and thrive.
neurosciencenews.com
Most LLM eval tools ask "did it get the right answer." Cognitive psychology experiments ask "under which manipulated condition, with which controls, measured how." We open-sourced PsychScanner: an experimental harness for LLMs, not a benchmark, a lab. 🧵
Olivia Guest · Ολίβια Γκεστ@olivia.science · 2d ago> there is no such thing as automated plagiarism detection software. They are a scam sold by the very same companies that create the AI systems used for plagiarism in the first place. And companies through such so-called tools want to further erode our trust in each other. olivia.science/anxiety/
CAIL = prerequisite knowledge for a critical perspective, such as to tell apart nonsense hype from true theoretical computer scientific claims. For example, the idea that human-like systems are a sensible or possible goal is the result of circular reasoning and anthropomorphism.
Critical AI
Critical AI Literacy (CAIL) from my perspective.
olivia.science
Olivia Guest · Ολίβια Γκεστ@olivia.science · 3mo agoIt feels many only know my work pushing back against AI, which is very fair — but I have a broader research interest, which also forms a protective belt against such forces, as well as being what I have been thinking about since discovering "cognitive science" in ~2006: 🍃 metatheory.space 1/
Hello world! 👋 We’re Minds, Machines, and Brains (MMB) 👤🤖🧠 a new open access journal from @mitpress.bsky.social exploring the principles of intelligence and cognition across natural and artificial minds. Submissions open this Fall! 🔗 direct.mit.edu/mmb
Minds, Machines, and Brains | MIT Press
direct.mit.edu
this is really heartening to know and I also have it (hcommons.org?get_group_do...) on my bookshelf and front and centre — and hope many others do
Evan Spotte-Smith (they/them)@ewcss.info · 3d agoI have! It's on my bookshelf in the office, and I have a digital copy as well. I love that book, and it's been a big inspiration for developing my own way of doing research since starting a group.
“Theory and Model Building in Psychology” New book edited by @fabianhutmacher.bsky.social and Alexander Wendt, with chapters by @ufeest.bsky.social, @devezer.bsky.social, @mieronen.bsky.social, and @bringmannlaura.bsky.social. link.springer.com/content/pdf/...
Here's where to find the Penn Computational Cognitive Neuroscience Lab at Cognitive Computational Neuroscience next week! See you in NYC!
Found it ! — « Unplugging a Seemingly Sentient Machine Is the Rational Choice -- A Metaphysical Perspective »
Bojack Horseman & Todd Chavez: Hooray!
Alt: Bojack Horseman & Todd Chavez: Hooray!
static.klipy.com
Anna Ciaunica PhD@annaciaunica.bsky.social · 6mo agoThe preprint is now out : arxiv.org/abs/2601.21016
LLMs have shown impressive performance in some reasoning tasks, but what internal mechanisms do they use to solve these tasks? In a new preprint, we find evidence that abstract reasoning in LLMs depends on an emergent form of symbol processing arxiv.org/abs/2502.20332 (1/N)
Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models
Many recent studies have found evidence for emergent reasoning capabilities in large language models, but debate persists concerning the robustness of these capabilities, and the extent to which they ...
arxiv.org
Experimentology is out today!!! A group of us wrote a free online textbook for experimental methods, available at experimentology.io - the idea was to integrate open science into all aspects of the experimental workflow from planning to design, analysis, and writing.
Metacognition bridges the gap between basic thought and effective action by acting as a feedback loop that monitors and regulates our internal… Metacognition by Joelle Proust https://doi.org/10.21428/e2759450.c403b8e7 #CognitiveScience
(1/n) Thrilled to share my first paper at Meta FAIR! "EgoBabyVLM: Benchmarking Cross-Modal Learning from Naturalistic Egocentric Video Data" 👶 Human infants learn language from sparse, noisy multimodal input. Today's VLMs can't. We built a benchmark + challenge to close that gap. 🧵
