Rapid Instructed Task Learning: a New Window into the Human Brain's Unique Capacity for Flexible Cognitive Control
Overview
Social Sciences
Affiliations
The human ability to flexibly adapt to novel circumstances is extraordinary. Perhaps the most illustrative, yet underappreciated, form of this cognitive flexibility is rapid instructed task learning (RITL)--the ability to rapidly reconfigure our minds to perform new tasks from instructions. This ability is important for everyday life (e.g., learning to use new technologies) and is used to instruct participants in nearly every study of human cognition. We review the development of RITL as a circumscribed domain of cognitive neuroscience investigation, culminating in recent demonstrations that RITL is implemented via brain circuits centered on lateral prefrontal cortex. We then build on this and the recent discovery of compositional representations within lateral prefrontal cortex to develop an integrative theory of cognitive flexibility and cognitive control that identifies mechanisms that may enable RITL within the human brain. The insights gained from this new theoretical account have important implications for further developments and applications of RITL research.
Chai M, Palenciano A, Mill R, Cole M, Braem S J Cogn. 2025; 8(1):17.
PMID: 39830226 PMC: 11740709. DOI: 10.5334/joc.423.
Resting-State Network Plasticity Following Category Learning Depends on Sensory Modality.
Tabrik S, Dinse H, Tegenthoff M, Behroozi M Hum Brain Mapp. 2024; 45(18):e70111.
PMID: 39720915 PMC: 11669188. DOI: 10.1002/hbm.70111.
An Exploratory Study of Large-Scale Brain Networks during Gambling Using SEEG.
Taylor C, Breault M, Dorman D, Greene P, Sacre P, Sampson A Brain Sci. 2024; 14(8).
PMID: 39199467 PMC: 11352602. DOI: 10.3390/brainsci14080773.
Saxena R, McNaughton B ArXiv. 2024; .
PMID: 38947919 PMC: 11213130.
The dynamics of functional brain network segregation in feedback-driven learning.
Wang X, Zwosta K, Hennig J, Bohm I, Ehrlich S, Wolfensteller U Commun Biol. 2024; 7(1):531.
PMID: 38710773 PMC: 11074323. DOI: 10.1038/s42003-024-06210-9.