Michael Lee

Has grant

Full Professor

University of California

United States

Research Interests

Explore related searches

Professors in United States Professors in Neuropsychology Neuropsychology professors in United States

About

Michael Lee is a Full Professor at the University of California, USA. His research areas include cognitive modeling, particularly in relation to Alzheimer's disease, decision-making processes, and mnemonic discrimination. He has published extensively on topics such as Bayesian modeling and the application of cognitive models to real-world problems, including the aggregation of spatial knowledge and optimal decision strategies in dynamic environments.

Recent Grants

Grant: Close

Towards an integrated model of reasoning and reasoning development

Open Date: 2019-01-01

Close Date: 2021-12-31

Grant: Close

Learning and choosing in a complex world

Open Date: 2015-01-01

Close Date: 2018-12-31

Grant: Close

Classifying Categorization Using State Trace Analysis and Hierarchical Bayesian Modeling

Open Date: 2013-03-15

Close Date: 2014-10-31

Grant: Close

Sequential sampling models of adaptive human decision making

Open Date: 2011-01-01

Close Date: 2013-01-01

Grant: Close

Toward a unified account of adaptive decision making: learning to search, stop and decide

Open Date: 2011-01-01

Close Date: 2013-12-31

Articles (17)

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Collaborators (15)

Koen Derks

Assistant Professor

Nyenrode Business University

NETHERLANDS

Michael Lee

Research Interests

Explore related searches

About

Recent Grants

Articles (17)

Cognitive modeling of the Mnemonic Similarity Task as a digital biomarker for Alzheimer's disease

The wisdom of the crowd with partial rankings: A Bayesian approach implementing the Thurstone model in JAGS

Using Cognitive Models to Improve the Wisdom of the Crowd

Strategies people use buying airline tickets: a cognitive modeling analysis of optimal stopping in a changing environment

Where’s Waldo, Ohio? Using Cognitive Models to Improve the Aggregation of Spatial Knowledge

An Extension and Clinical Application of the SIMPLE Model to the Free Recall of Repeated and Semantically Related Items

A review of applications of the Bayes factor in psychological research.

Bayesian modeling of the Mnemonic Similarity Task using multinomial processing trees

Evaluating the complexity and falsifiability of psychological models.

Parsing memory and nonmemory contributions to age-related declines in mnemonic discrimination performance: a hierarchical Bayesian diffusion decision modeling approach.

Always look on the bright side of logic? Testing explanations of intuitive sensitivity to logic in perceptual tasks.

Adaptive design optimization for a Mnemonic Similarity Task

Autobiographical memory specificity and mnemonic discrimination

A Multinomial Processing Tree Model of the 2-back Working Memory Task

A Bayesian method for measuring risk propensity in the Balloon Analogue Risk Task

Framing effects and preference reversals in crowd-sourced ranked opinions.

A model-based analysis of the impairment of semantic memory

Collaborators (15)

Koen Derks

Daniel W. Heck

Paul‐Christian Bürkner

Keisuke Takano

Jorge Tendeiro

Henk Kiers

Craig Stark

Brett Hayes

Zoltan Dienes

Marlyne Meijerink-Bosman

Bence Pálfi

Alexander Etz

John Dunn

Jesus Manuel Villarreal Ulloa

Casey Vanderlip

Make your next move.