Mengting Fang

Mengting Fang

@mtfang.bsky.social

Psych PhD Student @Penn | mtfang77.github.io

67 followers108 following13 posts

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(5/5) Our model is general given its information-theoretic formulation, and thus should be directly applicable to other tasks involving evidence encoding and maintenance.

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(3/5) Instead, our results show that evidence accumulation is actively controlled and resource-rational, with dynamics consistent with a computational strategy that continuously balances the informational benefits of incoming evidence against the cognitive costs of acquiring and maintaining it.

(4/5) We introduce a novel normative Bayesian updating model that is dynamically constrained by optimal performance-effort trade-offs. With two free parameters, the model accurately predicts the rich dependencies of subjects’ accumulation behavior on the evidence schedule.

(1/5) Evidence accumulation is central to decision-making and has been studied extensively across the behavioral and brain sciences. Yet, despite its importance, how the precise temporal structure of evidence shapes the accumulation process has never been systematically investigated.

(2/5) We address this question with a combination of targeted psychophysical perturbation experiments and computational modeling. Our study uncovers previously unknown properties of evidence accumulation that challenge the standard view of this process as a stationary process of leaky integration.

#VSS2025 Super excited to present my poster “Categorical Representations in Sequential Evidence Accumulation” on Tuesday May 20, 2:45pm-6:45pm at Pavilion 56.440! Come say hi if you are curious about how we study categorical decision-making and evidence accumulation 🧠👀

Beautiful work!!

Ling-Qi Zhang@lingqiz.bsky.social

Very happy to see our work finally in print! www.pnas.org/doi/10.1073/... TLDR: Tilt illusion is not a bug, but a feature of a well-designed visual system that maximizes information capacity adaptively based on spatial context. (1/6)

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