Hang Zhang

Efficient neural encoding of time intervals in speech and complex sound sequences

The paper shows that the auditory cortex uses efficient coding to encode time intervals in speech, with neural responses adapting to duration statistics and exhibiting compressive nonlinearity.

Exploring the bounded rationality in human decision anomalies through an assemblable computational framework

The paper develops a computational framework to explain decision anomalies through bounded rationality, showing it outperforms existing models in fitting human behavior.

The "motive cocktail" in altruistic behaviors

The paper identifies a 'motive cocktail' of seven socioeconomic motives that explain altruistic behaviors through experimental data and computational modeling.

Cognitive Phenotype Shifts in Risk-Taking: Interplay of Non-Suicidal Self-Injury Behaviors and Intensified Depression

This study examines how non-suicidal self-injury (NSSI) interacts with depression severity in decision-making, finding that NSSI individuals are more risk-averse but show increased risk-taking as depression worsens.

Beyond over- or under-sampling: autistic children's inflexibility in sampling costly information

This study investigates how autistic children sample costly information compared to neurotypical children, finding increased sampling variability and reduced efficiency in autistic children.

Dynamic emergence of relational structure network in human brains

The paper shows human brains compute temporal statistical relationships from image sequences, revealing lower-order transition probabilities and higher-order community structures that predict behavior.

Automatic and fast encoding of representational uncertainty underlies probability distortion

The paper shows the brain automatically encodes representational uncertainty in probability judgments, linking it to probability distortion behavior.

The bounded rationality of probability distortion

This paper introduces a Bounded Log-Odds Model to explain probability and relative frequency distortions in decision-making and shows it outperforms alternative models.

Sustained visual priming effects can emerge from attentional oscillation and temporal expectation

The paper develops a computational model showing sustained and oscillated visual priming effects arise from attentional oscillation and temporal expectation, supported by reanalysis and new experiments.

Autistic traits influence the strategic diversity of information sampling: insights from two-stage decision models

The paper examines how autistic traits affect information sampling strategies in a probabilistic inference task, finding trait-related differences in cost and evidence prioritization during decision-making.