A5041972281- Mental Health Research Topics
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Psychosomatic Disorders and Their Treatments
- Neural and Behavioral Psychology Studies
- Neurotransmitter Receptor Influence on Behavior
- Pain Management and Placebo Effect
- Formal Methods in Verification
- Personality Disorders and Psychopathology
- Schizophrenia research and treatment
- Mental Health and Psychiatry
- Functional Brain Connectivity Studies
- Robotic Path Planning Algorithms
- Logic, Reasoning, and Knowledge
- Behavioral and Psychological Studies
- Action Observation and Synchronization
- Geological Modeling and Analysis
- Distributed and Parallel Computing Systems
- Software Testing and Debugging Techniques
- Optimization and Search Problems
- Neuroscience and Music Perception
- Decision-Making and Behavioral Economics
- Distributed Control Multi-Agent Systems
- 3D Modeling in Geospatial Applications
Laureate Institute for Brain Research
2021-2025
University of California, San Diego
2024
University of Tulsa
2018
Australian National University
1999
Anxiety and depression are often associated with strong beliefs that entering specific situations will lead to aversive outcomes - even when these objectively safe avoiding them reduces well-being. A possible mechanism underlying this maladaptive avoidance behavior is a failure reflect on: (1) appropriate levels of uncertainty about the situation, (2) how could be reduced by seeking further information (i.e., exploration). To test hypothesis, we asked community sample 416 individuals...
Neurocomputational theories have hypothesized that Bayesian inference underlies interoception, which has become a topic of recent experimental work in heartbeat perception. To extend this approach beyond cardiac we describe the application computational model to recently developed gastrointestinal interoception task completed by 40 healthy individuals undergoing simultaneous electroencephalogram (EEG) and peripheral physiological recording. We first present results support validity modelling...
Abstract Methamphetamine Use Disorder (MUD) is associated with substantially reduced quality of life. Yet, decisions to use persist, due in part avoidance anticipated withdrawal states. However, the specific cognitive mechanisms underlying this decision process, and possible modulatory effects aversive states, remain unclear. Here, 56 individuals MUD 58 healthy comparisons (HCs) performed a task, both without an interoceptive state induction. Computational modeling measured tendency test...
Maladaptive behavior during approach-avoidance conflict (AAC) is common to multiple psychiatric disorders. Using computational modeling, we previously reported that individuals with depression, anxiety, and substance use disorders (DEP/ANX; SUDs) exhibited differences in decision uncertainty sensitivity negative outcomes versus reward (emotional conflict) relative healthy controls (HCs). However, it remains unknown whether these parameters group are stable over time. We analyzed 1-year...
Computational modelling is a promising approach to parse dysfunctional cognitive processes in substance use disorders (SUDs), but it unclear how much these change during the recovery period. We assessed 1-year follow-up data on sample of treatment-seeking individuals with one or more SUDs (alcohol, cannabis, sedatives, stimulants, hallucinogens, and/or opioids; <em>N</em> = 83) that were previously at baseline within prior computational study. Relative healthy controls (HCs; 48),...
Elevated anxiety and uncertainty avoidance are known to exacerbate maladaptive choice in individuals with affective disorders. However, the differential roles of state vs. trait remain unclear, underlying computational mechanisms have not been thoroughly characterized. In present study, we investigated how a somatic (interoceptive) induction influences learning decision-making under clinically significant levels anxiety. A sample 58 healthy comparisons (HCs) 61 disorders (iADs; i.e.,...
Current theories suggest individuals with methamphetamine use disorder (iMUDs) have difficulty considering long-term outcomes in decision-making, which could contribute to risk of relapse. Aversive interoceptive states (e.g., stress, withdrawal) are also known increase this risk. The present study analyzed computational mechanisms planning iMUDs, and examined the potential impact an aversive state induction. A group 40 iMUDs 49 healthy participants completed two runs a multi-step task,...
Recent computational theories of interoception suggest that perception bodily states rests upon an expected reliability- or precision-weighted integration afferent signals and prior beliefs. The psychiatry framework further suggests aberrant precision-weighting may lead to misestimation states, potentially hindering effective visceral regulation promoting psychopathology. In a previous study, we fit Bayesian model behavior on heartbeat tapping task test whether was associated with states. We...
Substance use disorders (SUDs) represent a major public health risk. Yet, our understanding of the mechanisms that maintain these remains incomplete. In recent computational modeling study, we found initial evidence SUDs are associated with slower learning rates from negative outcomes and less value-sensitive choice (low "action precision"), which could help explain continued substance despite harmful consequences.
Systems of multiple UAVs have been used for surveillance and reconnaissance operations the past few decades. One most challenging problems with deploying different capabilities is how to individually assign them a set tasks in such way that optimizes overall mission goal subject resource constraints. In this paper, we consider problem task collaboration coordination between team using <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">a priori</i>...
Anxiety and depression are often associated with strong beliefs that entering specific situations will lead to aversive outcomes – even when these objectively safe avoiding them reduces well-being. A possible mechanism underlying this maladaptive avoidance behavior is a failure reflect on: 1) appropriate levels of uncertainty about the situation, 2) how could be reduced by seeking further information (i.e., exploration). To test hypothesis, we asked community sample 417 individuals complete...
Abstract Computational modelling is a promising approach to parse dysfunctional cognitive processes in substance use disorders (SUDs), but it unclear how much these change during the recovery period. We assessed 1-year follow-up data on sample of treatment-seeking individuals with one or more SUDs (alcohol, cannabis, sedatives, stimulants, hallucinogens, and/or opioids; N = 83) that were previously at baseline within prior computational study. Relative healthy controls (HCs; 48),...
In order to preserve an unmanned autonomous vehicle's (UAV) safety in a dynamic obstacles environment, several technologies must be utilized including mobile obstacle prediction, path planning, and real-time avoidance. this paper, we develop planning monitoring approach where metric temporal logic (MTL) predictive MTL (P-MTL) are used specify the desired behavior of UAV its environment. We rely on theory robustness based as applied offline verification online control hybrid systems augment...
Current theories suggest individuals with methamphetamine use disorder (iMUDs) have difficulty considering long-term outcomes in decision-making, which could contribute to risk of relapse. Aversive interoceptive states (e.g., stress, withdrawal) are also known increase this risk. The present study analyzed computational mechanisms planning iMUDs, and examined the potential impact an aversive state induction. A group 40 iMUDs 49 healthy participants completed two runs a multi-step task,...