Michael J Frank
Biographic Data
| ID | 3862145 |
|---|---|
| NAME | Michael J Frank |
| GIVEN NAMES | Michael J |
| FAMILY NAME | Frank |
| SIGNATURE | FRANK M J |
| AFFILIATIONS | Brown University |
| ORCID | 0000-0001-8451-0523 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 6 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1976 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
A novel approach-avoidance task to study decision making under outcome uncertainty
Humans adaptively resolve the explore-exploit dilemma under cognitive constraints: Evidence from a multi-armed bandit task
Positive reward prediction errors during decision-making strengthen memory encoding
Computational psychiatry as a bridge from neuroscience to clinical applications
Frontal theta as a mechanism for cognitive control
American High School Students' Perceptions of Determinants of Life Satisfaction
HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python
The diffusion model is a commonly used tool to infer latent psychological processes underlying decision-making, and to link them to neural mechanisms based on response times. Although efficient open source software has been made available to quantitatively fit the model to data, current estimation methods require an abundance of response time measurements to recover meaningful parameters, and only provide point estimates of each parameter. In con…
Seeing is believing: Trustworthiness as a dynamic belief
Learned industriousness and social reinforcement
Learned industriousness and social reinforcement
Seeing is believing: Trustworthiness as a dynamic belief
HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python
The diffusion model is a commonly used tool to infer latent psychological processes underlying decision-making, and to link them to neural mechanisms based on response times. Although efficient open source software has been made available to quantitatively fit the model to data, current estimation methods require an abundance of response time measurements to recover meaningful parameters, and only provide point estimates of each parameter. In con…
Frontal theta as a mechanism for cognitive control
American High School Students' Perceptions of Determinants of Life Satisfaction
Computational psychiatry as a bridge from neuroscience to clinical applications
Positive reward prediction errors during decision-making strengthen memory encoding
Humans adaptively resolve the explore-exploit dilemma under cognitive constraints: Evidence from a multi-armed bandit task
A novel approach-avoidance task to study decision making under outcome uncertainty
Psychology (7 works) · Cognitive psychology (5 works) · Cognition (4 works) · Computer Science (4 works) · Neural and Behavioral Psychology Studies (4 works) · Social Psychology (4 works) · Artificial Intelligence (3 works) · Machine learning (3 works) · Neuroscience (3 works) · Cognitive science (2 works)