Computational modeling of behavior has revolutionized psychology and neuroscience. By
fitting models to experimental data we can probe the algorithms underlying behavior, find …

A fundamental goal across the neurosciences is the characterization of relationships linking
brain anatomy, functioning, and behavior. Although various MRI modalities have been …

Human neuroimaging research has transitioned from mapping local effects to developing
predictive models of mental events that integrate information distributed across multiple …

Functional brain images are rich and noisy data that can capture indirect signatures of
neural activity underlying cognition in a given experimental setting. Can data mining …

The use of rigorous ethological observation via machine learning techniques to understand
brain function (computational neuroethology) is a rapidly growing approach that is poised to …

Can studying individual differences in brain structure and function reveal individual
differences in behavior? Analyses of MRI data from nearly 50,000 individuals may suggest …

Establishing brain-behavior associations that map brain organization to phenotypic
measures and generalize to novel individuals remains a challenge in neuroimaging …

An introduction to model-based cognitive neuroscience Birte U. Forstmann· Brandon M. Turner
Editors An Introduction to Model-Based Cognitive Neuroscience Second Edition Page 2 An …

This study examines the impact of sample size on predicting cognitive and mental health
phenotypes from brain imaging via machine learning. Our analysis shows a 3-to 9-fold …

Many brain regions have been defined, but a comprehensive formalization of each region's
function in relation to human behavior is still lacking. Current knowledge comes from various …