A5002855407- Neural and Behavioral Psychology Studies
- Visual perception and processing mechanisms
- Neural dynamics and brain function
- Statistical Methods and Bayesian Inference
- Genetics and Neurodevelopmental Disorders
- Cognitive and developmental aspects of mathematical skills
- Reading and Literacy Development
- Advanced Statistical Methods and Models
- Industrial Vision Systems and Defect Detection
- Data Quality and Management
- Face Recognition and Perception
- Mental Health Research Topics
- Markov Chains and Monte Carlo Methods
- Scientific Computing and Data Management
- Political Dynamics in Latin America
- Probability and Statistical Research
- Research Data Management Practices
- Psychometric Methodologies and Testing
- Historical and Linguistic Studies
- Biblical Studies and Interpretation
- Botanical Research and Chemistry
- Visual Attention and Saliency Detection
- Statistical Methods and Inference
- Internet Traffic Analysis and Secure E-voting
- Crime, Illicit Activities, and Governance
New York University
2016-2020
Center for Information Technology
2018
Princeton University
2018
Beth Israel Deaconess Medical Center
2013
Humans can meaningfully report their confidence in a perceptual or cognitive decision. It is widely believed that these reports reflect the Bayesian probability decision correct, but this hypothesis has not been rigorously tested against non-Bayesian alternatives. We use two categorization tasks which reporting requires subjects to take sensory uncertainty into account specific way. find do when confidence, suggesting brain areas involved access low-level representations of uncertainty,...
Perceptual decisions are better when they take uncertainty into account. Uncertainty arises not only from the properties of sensory input but also cognitive sources, such as different levels attention. However, it is unknown whether humans appropriately adjust for sources during perceptual decision-making. Here we show that, in a task which relevant performance, human categorization and confidence account related to We manipulated an orientation trial using attentional cue. The was designed...
The Bayesian model of confidence posits that reflects the observer's posterior probability decision is correct. Hangya, Sanders, and Kepecs (2016) have proposed researchers can test by deriving qualitative signatures (i.e., patterns one would expect to see if an observer were Bayesian) looking for those in human or animal data. We examine two signatures, showing their derivations contain hidden assumptions limit applicability they are neither necessary nor sufficient conditions confidence....
Abstract Perceptual decisions are better when they take uncertainty into account. Uncertainty arises not only from the properties of sensory input but also cognitive sources, such as different levels attention. However, it is unknown whether humans appropriately adjust for sources during perceptual decision making. Here we show that human categorization and confidence account related to We manipulated in an orientation task trial using attentional cue. The was designed disambiguate rules did...
Developmental dyslexia is a language learning disorder that affects approximately 4-10% of the population. A number candidate susceptibility genes have been identified, including DCDC2 and KIAA0319 on Chromosome (Chr) 6p22.2 DYX1C1 Chr 15q21. Embryonic knockdown function homologs these in rat neocortical projection cell progenitors by utero electroporation plasmids encoding small hairpin RNA (shRNA) revealed all three disrupted neuronal migration to neocortex. Specifically, this disruption...
The Bayesian model of confidence posits that is the observer’s posterior probability decision correct. It has been proposed researchers can gain evidence in favor by deriving qualitative signatures confidence, i.e., patterns one would expect to see if an observer was Bayesian, and looking for those human or animal data. We examine two signatures, showing their derivations contain hidden assumptions limit applicability, they are neither necessary nor sufficient conditions confidence. One...
Humans can meaningfully report their confidence in a perceptual or cognitive decision. It is widely believed that these reports reflect the Bayesian probability decision correct, but this hypothesis has not been rigorously tested against non-Bayesian alternatives. We use two categorization tasks which reporting requires subjects to take sensory uncertainty into account specific way. find do when confidence, suggesting brain areas involved access low-level representations of uncertainty....
On the first day of voting in 2018 Brazilian presidential elections, a video circulated online that ostensibly showed an electronic machine “auto-completing” vote intended for Jair Bolsonaro, turning it instead into Fernando Haddad, other top candidate. The video, which wrongly implied system was rigged Haddad’s favor, amplified by Flávio senator and son Bolsonaro. This is hardly isolated example. Election disinformation spreading around world, undermining trust democracy. Mis- about...
Understanding how people rate their confidence is critical for characterizing a wide range of perceptual, memory, motor, and cognitive processes. However, as in many other fields, progress has been slowed by the difficulty collecting new data unavailability existing data. To address this issue, we created large database studies spanning broad set paradigms, participant populations, fields study. The from each study are structured common, easy-to-use format that can be easily imported...
Purpose: To make optimal perceptual decisions, observers must take into account the uncertainty inherent in their sensory representations. Humans caused by stimulus factors such as low contrast. However, it is not known whether humans internal attention. Here we asked adjust decisions and confidence reports to for attention-dependent uncertainty. Methods: Twelve performed an orientation categorization task, which two categories had same mean but different standard deviations, reported both...