herrick fung
@herrickfung.bsky.social
PhD student in Cognition & Brain Science @ Georgia Tech Computation of Subjective Perception Lab w/ @dobyrahnev.bsky.social ―――――――――――――――――――――――― Subjective perception • Individual differences • Cognitive neuroscience • NeuroAI
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.
Finally, today is the day: Josefine Zerbe will present and release our new multi-echo 7T fMRI dataset LAION-fMRI during #VSS2026, with >30 fMRI session per subject and unprecedented stimulus diversity. Come to Talk Room 1 (Scene perception) today at 5:15. Details will follow in a separate thread!
My review on the "Confidence-accuracy dissociations in perceptual decision making" is now published. I think that this will be useful to both experts and newcomers to the field. www.sciencedirect.com/science/arti...
Doby Rahnev@dobyrahnev.bsky.social · 7mo agoNew preprint: Confidence-accuracy dissociations in perceptual decision making. A review I was supposed to write 3 years ago for my VSS Young Investigator Award. Better late than never 😅 I tried to organize the literature and explore the likely mechanisms. Feedback welcome! osf.io/preprints/ps...
Our new paper is out in Cognition! What determines whether confidence follows the classic "folded-X" pattern vs. the "double-increase" pattern? The answer lies in the type of stimulus manipulation. Big thanks to my advisor Doby @dobyrahnev.bsky.social and co-first author @herrickfung.bsky.social !
Stimulus reliability but not boundary distance manipulations violate the folded-X pattern of confidence
The folded-X pattern has been identified as a critical signature of confidence: as conditions become easier, confidence increases for correct trials b…
sciencedirect.com
More evidence for ‘task-defining’ vs. ‘auxiliary’ stimulus manipulations, each with distinct effects on confidence. Check out my new paper with @dobyrahnev.bsky.social and @kaixue98.bsky.social, now in Cognition. Also check out our earlier sister paper on this matter! Kai's thread 👇
Similarities and differences in the effects of different stimulus manipulations on accuracy and confidence
Visual stimuli can vary in multiple dimensions that affect accuracy and confidence in a perceptual decision-making task. However, previous studies hav…
sciencedirect.com
Kai Xue@kaixue98.bsky.social · 5mo agoOur new paper is out in Cognition! What determines whether confidence follows the classic "folded-X" pattern vs. the "double-increase" pattern? The answer lies in the type of stimulus manipulation. Big thanks to my advisor Doby @dobyrahnev.bsky.social and co-first author @herrickfung.bsky.social !
Turns out that individual differences in accuracy, confidence, and RT among ANNs that only differ in their random initialization mimic the individual differences in humans. It may be time for NeuroAI to take individual differences even more seriously. Check out Herrick's thread 👇
herrick fung@herrickfung.bsky.social · 6mo ago🚨 New preprint on individual differences in artificial neural networks and human behavior. We show that individual differences among ANN instances trained with different random initializations capture the individual differences in human behavior. 1/8
🚨 New preprint on individual differences in artificial neural networks and human behavior. We show that individual differences among ANN instances trained with different random initializations capture the individual differences in human behavior. 1/8
biorxiv.org
How do people compute a sense of confidence? This question is usually addressed using very simple images because we don't know how complex stimuli are represented internally. In a new paper, we addressed this question using artificial neural networks (ANNs). journals.plos.org/ploscompbiol...
Using artificial neural networks to reveal the human confidence computation
Author summary Human decisions are accompanied by a sense of confidence which reflects the decision accuracy. Conventionally, human confidence has been studied using two-choice tasks with simple stimu...
journals.plos.org
Glad to have played a small part in this work led by Medha Shekhar, now out in PLOS Comp Bio. Using neural networks, we show that in multi-alternative perceptual task, humans compute confidence by the difference between the internal evidence of the top two choices. journals.plos.org/ploscompbiol...
Using artificial neural networks to reveal the human confidence computation
Author summary Human decisions are accompanied by a sense of confidence which reflects the decision accuracy. Conventionally, human confidence has been studied using two-choice tasks with simple stimu...
journals.plos.org
New preprint: Confidence-accuracy dissociations in perceptual decision making. A review I was supposed to write 3 years ago for my VSS Young Investigator Award. Better late than never 😅 I tried to organize the literature and explore the likely mechanisms. Feedback welcome! osf.io/preprints/ps...
OSF
osf.io
"How participants create illusory experiences to help experimenters." A new preprint of a multi-study manuscript w/ @zoltandienes.bsky.social, @anilseth.bsky.social & Ryan Scott, extending previous work on demand characteristics & phenomenological control in psychological effects. osf.io/n2ukj
Excited to share my first paper: Model–Behavior Alignment under Flexible Evaluation: When the Best-Fitting Model Isn’t the Right One (NeurIPS 2025). link below.
Need more fMRI data (beyond the amazing NSD)? Introducing MOSAIC! Incredible effort led expertly by Ben Lahner, with help from grad student Mayukh Deb. Work in collaboration with the amazing Aude Oliva! @neurosky.bsky.social. More below..
"ANN instances showed consistent variation in their alignment with specific human subjects." www.biorxiv.org/content/10.1... This particular network is just like me fr!
Human-like individual differences emerge from random weight initializations in neural networks
Much of AI research targets the behavior of an average human, a focus that traces to Turing’s imitation game. Yet, no two human individuals behave exactly alike. In this study, we show that artificial...
biorxiv.org
Clever behavioural experiment exposing how confidence is formed in visual perception pubmed.ncbi.nlm.nih.gov/41138620/
Perceptual confidence has near perfect access to the existence of discrete representations, but only weak access to precision - PubMed
Perceptual confidence describes the degree to which we believe our internal perceptual representations reflect the external stimuli that caused them. How confidence is derived from internal representations is currently debated, but answering this question is made difficult because the nature of inte …
pubmed.ncbi.nlm.nih.gov
No two humans behave exactly alike. But what about neural networks? We found early evidence that human-like individual differences in behavior emerge from networks trained with different initializations. Here’s a peek at our results—to be presented at UniReps & DBM @NeurIPS. Full paper on the way!
Human-like individual differences emerge from random weight initializations in neural networks
Much of AI research targets the behavior of an average human, a focus that traces to Turing's imitation game. Yet, no two human individuals behave exactly alike. In this study, we show that artificial...
biorxiv.org
It looks like stimulus manipulations can be divided into "task-defining" and "auxiliary". The manipulations from each group have very different effects on accuracy vs. confidence. And all auxiliary manipulations seem to work in basically the same way. Really cool stuff by @herrickfung.bsky.social.
herrick fung@herrickfung.bsky.social · 10mo agoGlad to see my first-year project is out! In two experiments, we manipulated multiple stimulus features in a perception task, yet their effects on confidence and accuracy fell into just two distinct behavioral patterns, offering a way to predict the effects of novel stimulus manipulations. 1/n
Glad to see my first-year project is out! In two experiments, we manipulated multiple stimulus features in a perception task, yet their effects on confidence and accuracy fell into just two distinct behavioral patterns, offering a way to predict the effects of novel stimulus manipulations. 1/n
Similarities and differences in the effects of different stimulus manipulations on accuracy and confidence
Visual stimuli can vary in multiple dimensions that affect accuracy and confidence in a perceptual decision-making task. However, previous studies hav…
sciencedirect.com
🚨 Paper alert: To appear in the DBM Neurips Workshop LITcoder: A General-Purpose Library for Building and Comparing Encoding Models 📄 arxiv: arxiv.org/abs/2509.091... 🔗 project: litcoder-brain.github.io
At Neurips? You can now check out @herrickfung.bsky.social ‘s new work on modeling individual differences at two workshops! Much more to say on this awesome colab with @dobyrahnev.bsky.social very soon. 🙂
Doby Rahnev@dobyrahnev.bsky.social · 11mo agoOur work showing human-like individual differences in perceptual decisions emerge from random weight initializations in deep neural networks has been accepted in two NeurIPS workshops! 🎉 Awesome job by my student @herrickfung.bsky.social in collaboration with the amazing @apurvaratan.bsky.social.
Our work showing human-like individual differences in perceptual decisions emerge from random weight initializations in deep neural networks has been accepted in two NeurIPS workshops! 🎉 Awesome job by my student @herrickfung.bsky.social in collaboration with the amazing @apurvaratan.bsky.social.
New lab preprint led by Medha Shekhar in collaboration with @axc.bsky.social. We investigate what drives confidence in decisions of real-world complexity (perception and memory questions about short videos). It turns out confidence is influenced by so many factors! osf.io/preprints/ps...
OSF
osf.io
