A5021158814- Neural and Behavioral Psychology Studies
- Decision-Making and Behavioral Economics
- Functional Brain Connectivity Studies
- Psychology of Moral and Emotional Judgment
- Misinformation and Its Impacts
- Neuroendocrine regulation and behavior
- Autonomous Vehicle Technology and Safety
- Autism Spectrum Disorder Research
- Human-Automation Interaction and Safety
- Hedgehog Signaling Pathway Studies
- COVID-19 epidemiological studies
- Mental Health Research Topics
- Design Education and Practice
- Traffic and Road Safety
- Face Recognition and Perception
- Memory and Neural Mechanisms
- Jury Decision Making Processes
- Obsessive-Compulsive Spectrum Disorders
- Research on Leishmaniasis Studies
- Meta-analysis and systematic reviews
- Attachment and Relationship Dynamics
- Behavioral Health and Interventions
- Child and Animal Learning Development
- Media Influence and Health
- Oral and Maxillofacial Pathology
Toyota Research Institute
2022-2024
Toyota Industries (United States)
2022-2024
University of Colorado Boulder
2020-2022
Duke University
2018-2022
Cognitive Research (United States)
2021
Zahedan University of Medical Sciences
2019
Duke University Hospital
2019
Duke Medical Center
2019
California Institute of Technology
2014-2016
Neural Analytics (United States)
2015
The evolutionarily highly conserved neuropeptide oxytocin is a key mediator of social and emotional behavior in mammals, including humans. A common variant (rs53576) the receptor gene ( OXTR ) has been implicated social-behavioral phenotypes, such as maternal sensitivity empathy, with neuropsychiatric disorders associated impairment, but intermediate neural mechanisms are unknown. Here, we used multimodal neuroimaging large sample healthy human subjects to identify structural functional...
<h3>Context</h3> Social anxiety disorder is thought to involve emotional hyperreactivity, cognitive distortions, and ineffective emotion regulation. While the neural bases of reactivity social stimuli have been described, regulation during physical threat, their relationship symptom severity, yet be investigated. <h3>Objective</h3> To investigate behavioral correlates in patients controls processing threat stimuli. <h3>Design</h3> Participants were trained implement cognitive-linguistic...
There is widespread interest in identifying computational and neurobiological mechanisms that influence the ability to choose long-term benefits over more proximal readily available rewards domains such as dietary economic choice. We present results of a human fMRI study examines how neural activity relates observed individual differences discounting future during an intertemporal monetary choice task. found region left dlPFC BA-46 was active trials where subjects chose delayed rewards,...
The neuropeptide vasopressin is a modulator of mammalian social behavior and emotion, particularly fear, aggression, anxiety. In humans, the neural circuitry underlying behavioral effects unknown. Using double-blind crossover administration 40 IU or placebo functional MRI during processing facial emotions in healthy male volunteers, we show that specifically reduces differential activation subgenual cingulate cortex. Structural equation modeling previously evaluated circuit between amygdala,...
Summary Data analysis workflows in many scientific domains have become increasingly complex and flexible. To assess the impact of this flexibility on functional magnetic resonance imaging (fMRI) results, same dataset was independently analyzed by 70 teams, testing nine ex-ante hypotheses. The analytic approaches is exemplified fact that no two teams chose identical to analyze data. This resulted sizeable variation hypothesis test even for whose statistical maps were highly correlated at...
The neuropeptide vasopressin is a key molecular mediator of social behavior in animals and humans, implicated anxiety autism. Social recognition, the ability to assess familiarity others, essential for appropriate interactions enhanced by vasopressin; however, neural mechanisms mediating this effect humans are unknown. Using functional magnetic resonance imaging (fMRI) an implicit recognition matching task, we employed double-blinded procedure which 20 healthy male volunteers...
The COVID-19 pandemic reached staggering new peaks during a global resurgence more than year after the crisis began. Although public health guidelines initially helped to slow spread of disease, widespread fatigue and prolonged harm financial stability mental well-being contributed this resurgence. In late stage pandemic, it became clear that interventions were needed support long-term behavior change. Here, we examined subjective perceived risk about relationship between engagement in risky...
Generative AI (GenAI) models excel in their ability to recognize patterns existing data and generate new unexpected content. Recent advances have motivated applications of GenAI tools (e.g., Stable Diffusion, ChatGPT) professional practice across industries, including product design. While these generative capabilities may seem enticing on the surface, certain barriers limit practical application for real-world use industry settings. In this position paper, we articulate situate within two...
The pervasive tendency to discount the value of future rewards varies considerably across individuals and has important implications for health well-being. Here, we used fMRI with human participants examine whether an individual's neural representation imagined primary reward predicts degree which delayed monetary payments is discounted. Because can never be experienced at time choice, imagining or simulating benefits a may play critical role in decisions between alternatives either...
Abstract Recent advances in AI and intelligent vehicle technology hold the promise of revolutionizing mobility transportation through advanced driver assistance systems (ADAS). Certain cognitive factors, such as impulsivity inhibitory control have been shown to relate risky driving behavior on-road risk-taking. However, existing fail leverage factors assistive technologies adequately. Varying levels these could influence effectiveness acceptance ADAS interfaces. We demonstrate an approach...
We report the first case of cutaneous leishmaniasis in a patient treated with infliximab. The species was <i>Leishmania infantum,</i> agent both and visceral leishmaniasis. Cutaneous occurred after 9th infusion infliximab who suffering from ankylosing spondylitis.
Few studies have explored neural mechanisms of reward learning in ASD despite evidence behavioral impairments predictive abilities ASD. To investigate the correlates prediction errors ASD, 16 adults with and 14 typically developing controls performed a error task during fMRI scanning. Results revealed greater activation group left paracingulate gyrus signed insula right frontal pole thresholded unsigned errors. Findings support atypical processing frontostriatal regions critical for coding...
The COVID-19 pandemic reached staggering new peaks during a global resurgence more than year after the crisis began. Although public health guidelines initially helped to slow spread of disease, widespread fatigue and prolonged harm financial stability mental wellbeing contributed this resurgence. In late stage pandemic, it became clear that interventions were needed support long-term behavior change. Here, we examined subjective perceived risk about COVID-19, relationship between engagement...
The COVID-19 pandemic has created a serious and prolonged public-health emergency. Older adults have been at significantly greater risk of hospitalization, ICU admission, death due to COVID-19; as February 2021, over 81% COVID-19-related deaths in the U.S. occurred for people age 65. Converging evidence from around world suggests that is most significant factor severe illness experience adverse health outcomes. Therefore, effectively communicating health-related information requires...
We introduce a lightweight simulation and modeling framework, HMIway-env, for studying human-machine teaming in the context of driving. The goal framework is to accelerate development adaptive AI systems which can respond individual driver states, traits, preferences, by serving as data-generation engine training environment learning personalized human-AI policies. extend highway-env, an OpenAI Gym-based simulator environment, enable specification human behavior, design vehicle-driver...
Abstract Anticipatory thinking (AT) and design have many commonalities. We identify three challenges for all computational AT systems: representation, generation, evaluation. discuss how existing artificial intelligence techniques provide some methods addressing these, but also fall significantly short. Next, we articulate where concepts appear in paradigms: configuration design, resilience, conceptual design. close by identifying two promising future directions at the intersection of...
Visualizations are common methods to convey information but also increasingly used spread misinformation. It is therefore important understand the factors people use interpret visualizations. In this paper, we focus on that influence interpretations of scatter plots, investigating extent which visual aspects plots (outliers and trend lines) cognitive biases (people's beliefs) perception correlation trends. We highlight three main findings: outliers skew exert less than other points; lines...
Recent advances in AI and intelligent vehicle technology hold promise to revolutionize mobility transportation, the form of advanced driving assistance (ADAS) interfaces. Although it is widely recognized that certain cognitive factors, such as impulsivity inhibitory control, are related risky behavior, play a significant role on-road risk-taking, existing systems fail leverage factors. Varying levels these factors could influence effectiveness acceptance driver safety We demonstrate an...