A5034350948- Neural and Behavioral Psychology Studies
- Decision-Making and Behavioral Economics
- Statistical Methods and Bayesian Inference
- Markov Chains and Monte Carlo Methods
- Child and Animal Learning Development
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Forecasting Techniques and Applications
- Memory Processes and Influences
- Gaussian Processes and Bayesian Inference
- Behavioral and Psychological Studies
- Statistical Methods in Clinical Trials
- Bayesian Methods and Mixture Models
- Scientific Computing and Data Management
- Economic and Environmental Valuation
- Machine Learning and Algorithms
- Bayesian Modeling and Causal Inference
- Statistical Methods and Inference
- Sensory Analysis and Statistical Methods
- Functional Brain Connectivity Studies
- Optimal Experimental Design Methods
- Data Analysis with R
- Deception detection and forensic psychology
- Human-Automation Interaction and Safety
- Cognitive and developmental aspects of mathematical skills
The Ohio State University
2015-2025
University of Massachusetts Amherst
2019
National University of Singapore
2017
University of Exeter
2014
Vanderbilt University
2014
University of Amsterdam
2014
Johns Hopkins University
1995-2000
Northwestern University
1993
Purdue University West Lafayette
1990-1992
Response inhibition is an important act of control in many domains psychology and neuroscience.It often studied a stop-signal task that requires subjects to inhibit ongoing action response stop signal.Performance the understood as race between go process underlies inhibits action.Responses are inhibited if finishes before process.The finishing time not directly observable; mathematical model required estimate its duration.Logan Cowan (1984) developed independent widely used for this...
Two connectionist frameworks, GRAIN (J. L. McClelland, 1993) and brain-state-in-a-box A. Anderson, 1991), R. Ratcliff's (1978) diffusion model were evaluated using data from a signal detection task. Dependent variables included response probabilities, reaction times for correct error responses, shapes of reaction-time distributions. The accounted all aspects the data, including that had previously been problem response-time models. models many adequately, but each failed to greater or lesser...
"We propose to change the default P-value threshold forstatistical significance for claims of new discoveries from 0.05 0.005."
Most models of recognition memory rely on a strength/familiarity-based signal detection account that assumes the processes giving rise to confidence judgment are same as those an old-new decision. Confidence is assumed be scaled directly from perceived familiarity probe. This assumption was tested in 2 experiments examine shape confidence-based z receiver operating characteristic (zROC) curves under different levels response bias induced by changing stimulus probabilities (Experiment 1) and...
Making intertemporal choices (choosing between rewards available at different points in time) requires determining and comparing the subjective values of rewards. Several studies have found converging evidence identifying neural systems that encode value choice. However, mechanisms responsible for process produces decisions on basis not been investigated. Using model-based connectivity analyses functional magnetic resonance imaging data, we investigated underlying value-accumulation by which...
An important class of sequential‐sampling models for response time (RT) assumes that evidence competing alternatives accrues in parallel and a is made when the total particular exceeds criterion. One member this Poisson counter model, which unit increments waiting between exponentially distributed. This paper generalizes model to allow event rate vary with time. General expressions are obtained RT distributions two‐ m ‐alternative cases. Closed‐form probabilities under proportional‐rates...
In tasks as diverse stock market predictions and jury deliberations, a person's feelings of confidence in the appropriateness different choices often impact that final choice. The current study examines mathematical modeling calibration simple dual-choice task. Experiments are motivated by an accumulator model, which proposes information supporting each alternative accrues on separate counters. observer responds favor whichever alternative's counter first hits designated threshold....
Signal detection theory forms the core of many current models cognition, including memory, choice, and categorization. However, classic signal model presumes a priori existence fixed stimulus representations--usually Gaussian distributions--even when observer has no experience with task. Furthermore, requires to place response criterion along axis strength, without theoretical elaboration, this is independent observer's experience. We present dynamic, adaptive that addresses these 2...
Proponents of preregistration argue that, among other benefits, it improves the diagnosticity statistical tests [1]. In strong version this argument, does by solving problems, such as family-wise error rates. weak version, nudges people to think more deeply about their theories, methods, and analyses. We against both: depend entirely on how well models map onto underlying so improving techniques little improve theories when mapping is weak. There also reason expect that will spontaneously...
Many influential memory models are computational in the sense that their predictions derived through simulation. This means it is difficult or impossible to write down a probability distribution likelihood characterizes random behavior of data as function model's parameters. In turn, lack these cannot be directly fitted using traditional techniques. particular, standard Bayesian analyses such impossible. this article, we examine how new procedure called approximate computation (ABC), method...
Most models of recognition memory rely on a strength/familiarity-based signal detection account that assumes the processes giving rise to confidence judgment are same as those an old-new decision. Confidence is assumed be scaled directly from perceived familiarity probe. This assumption was tested in 2 experiments examine shape confidence-based z receiver operating characteristic (zROC) curves under different levels response bias induced by changing stimulus probabilities (Experiment 1) and...