Zhihao Zhang

ORCID: 0000-0003-2643-6841
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About
Contact & Profiles
Research Areas
  • Neural and Behavioral Psychology Studies
  • Decision-Making and Behavioral Economics
  • Face Recognition and Perception
  • Mental Health Research Topics
  • Behavioral Health and Interventions
  • Stress Responses and Cortisol
  • Psychology of Moral and Emotional Judgment
  • Forecasting Techniques and Applications
  • Memory and Neural Mechanisms
  • Cognitive Science and Mapping

University of Virginia
2023

University of California, Berkeley
2020-2023

Matrix Research (United States)
2021

Yale University
2015-2017

An extensive literature from cognitive neuroscience examines the neural representation of value, but interpretations these existing results are often complicated by potential confound saliency. At same time, recent attempts to dissociate signals value and saliency have not addressed their relationship with category information. Using a multi-category valuation task that incorporates rewards punishments different nature, we identify distributed saliency, during outcome anticipation. Moreover,...

10.1038/s41467-017-02080-4 article EN cc-by Nature Communications 2017-11-28

Significance Life is not a multiple-choice test: Many real-world decisions leave goals, choice options, or evaluation criteria to be determined by decision-makers themselves. However, mechanistic understanding of how such problem structuring processes influence has largely eluded standard models decision-making. By developing neurally grounded cognitive model that integrates semantic knowledge retrieval and valuation processes, we offer computational framework providing strikingly accurate...

10.1073/pnas.2022685118 article EN Proceedings of the National Academy of Sciences 2021-05-14

Abstract Decision-making studies have implicated the ventromedial prefrontal cortex (vmPFC) in tracking value of rewards and punishments. At same time, fear-learning pointed to a role area updating previously learned cue–outcome associations. To disentangle these accounts, we used reward reversal-learning paradigm functional magnetic resonance imaging study 18 human participants. Participants first that one two colored squares (color A) was associated with monetary reward, whereas other B)...

10.1523/eneuro.0072-15.2015 article EN cc-by eNeuro 2015-11-01

Many legal decisions center on the thoughts or perceptions of some idealized group individuals, referred to variously as "average person," "the typical consumer," "reasonable person." Substantial concerns exist, however, regarding subjectivity and vulnerability biases inherent in conventional means assessing such responses, particularly use self-report evidence. Here, we addressed these by complementing evidence with neural data inform mental representations question. Using an example from...

10.1126/sciadv.abo1095 article EN cc-by-nc Science Advances 2023-02-08

Social and decision-making deficits are often the first symptoms of neuropsychiatric disorders. In recent years, economic games, together with computational models strategic learning, have been increasingly applied to characterization individual differences in social behavior, as well their changes across time due disease progression, treatment, or other factors. At same time, high dimensionality these data poses an important challenge statistical estimation models, potentially limiting...

10.1162/cpsy_a_00028 article EN cc-by Computational Psychiatry 2020-10-20
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