Titlebook: An Introduction to Model-Based Cognitive Neuroscience; Birte U. Forstmann,Brandon M. Turner Book 2024Latest edition The Editor(s) (if appl

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An Introduction to Model-Based Cognitive Neuroscience978-3-031-45271-0

持久

本能

Reinforcement Learning,ovide an overview of the methodological approach underlying model-based fMRI. This extends to pragmatic considerations when working in this domain with an eye towards more recent developments in both fMRI and computational modelling, such as multivariate analyses and assessing model quality, respect

nerve-sparing

groggy

Morbid

Ultrahigh Field Magnetic Resonance Imaging for Model-Based Neuroscience,ar imaging and the investigation of feedback loops as can be found in the cerebellum. These investigations are only achievable with the modern ultrahigh field (UHF) scanners; hence this chapter will focus on the use of 7?T MRI in cognitive neuroscience..After a brief general introduction on the conc

遺忘

Cognitive Models as a Tool to Link Decision Behavior with EEG Signals,rks that propose a common latent source that generates predictions for multiple outputs, such as behavior and neural data. The second section is a review of linking approaches in reinforcement learning models of decision making. This includes a brief history of formal linking approaches between EEG

GLUT

不能妥協(xié)