Project Details
Projekt
Towards a neurocomputational account of meta-control based on Bayesian inference in a context-specific hierarchy of time scales (A09)
Subject Area
Human Cognitive and Systems Neuroscience
General, Cognitive and Mathematical Psychology
General, Cognitive and Mathematical Psychology
Term
from 2016 to 2024
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 178833530
The computational mechanisms by which cognitive control processes are adapted to changing demands in dynamic and uncertain environments (e.g., to focus attention on a task versus to monitor the environment for unexpected changes) are insufficiently understood. Project A09 conceives of meta-control as a Bayesi-an inference problem and plans to develop a ‘hierarchical active inference’ model of meta-control and to test it in behavioral and fMRI studies using novel sequential decision-making tasks. The aim is to advance the theoretical framework of the CRC by developing a computational model of meta-control that provides a mechanistic account of context-sensitive control adjustments at different time-scales.
DFG Programme
Collaborative Research Centres
Applicant Institution
Technische Universität Dresden
Project Heads
Professor Dr. Thomas Goschke; Professor Dr. Stefan Kiebel
