Article

Decoding task representations that support generalization in hierarchical task

2024-12-02

Abstract excerpt

Task knowledge can be encoded hierarchically such that complex tasks can be built by associating simpler tasks. This associative organization supports generalization to facilitate learning of related but novel complex tasks. To study how the brain implements generalization in hierarchical task learning, we trained human participants on two complex tasks that shared a simple task and tested them on novel complex ta...

Topics

Open a Topic to create a Post that cites this publication.

Uncategorized literature

Identifiers and source

Literature Corpus work: 16653b74-da76-5941-b8d2-1fbf86f54c1f
DOI: 10.1101/2024.12.02.626403

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Decoding task representations that support generalization in hierarchical taskDOI 10.1101/2024.12.02.626403Read

Cracking the multidimensionality of cognition with cross-domain transferSemantic proximity Read

Task learning is subserved by a domain-general brain networkSemantic proximity Read

A flexible coding scheme underlying working memory generalization in human parietal and frontal corticesSemantic proximity Read

Dynamically shifting from compositional to conjunctive brain representations supports cognitive task learningSemantic proximity Read

Novel verbal instructions recruit abstract neural patterns of time-variable information dimensionalitySemantic proximity Read

Neural representation of abstract task structure during generalizationSemantic proximity Read

A neural mechanism for compositional structure transfer in humansSemantic proximity Read

Flexible neural representations of abstract structural knowledge in the human Entorhinal CortexSemantic proximity Read

Neural representations supporting generalization under continual learningSemantic proximity Read

Task goals dynamically reconfigure neural working memory representationsSemantic proximity Read

Decomposing dynamical subprocesses for compositional generalizationSemantic proximity Read

Multiple-Demand Network encoding geometry balances generalization and dimensionality during novel task assemblySemantic proximity Read