The dynamics of functional brain network segregation in feedback-driven learning DOI Creative Commons
Xiaoyu Wang,

Katharina Zwosta,

Julius Steding

et al.

Communications Biology, Journal Year: 2024, Volume and Issue: 7(1)

Published: May 6, 2024

Abstract Prior evidence suggests that increasingly efficient task performance in human learning is associated with large scale brain network dynamics. However, the specific nature of this general relationship has remained unclear. Here, we characterize improvement during feedback-driven stimulus-response (S-R) by rate as well S-R habit strength and test whether how these two behavioral measures are a functional state transition from more integrated to segregated across learning. Capitalizing on separate fMRI studies using similar but not identical experimental designs, demonstrate for both higher rapid segregation. By contrast, reliably related changes Overall, our current study results highlight utility dynamic analysis. From broader perspective taking into account previous results, findings align framework conceptualizes segregation feature processing efficiency only present also other types domains.

Language: Английский

On the origin of memory neurons in the human hippocampus DOI Creative Commons
Luca D. Kolibius, Sheena A. Josselyn, Simon Hanslmayr

et al.

Trends in Cognitive Sciences, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

0
Repertoire of timescales in uni – and transmodal regions mediate working memory capacity DOI Creative Commons
Angelika Wolman, Yasir Çatal, Philipp Klar

et al.

NeuroImage, Journal Year: 2024, Volume and Issue: 291, P. 120602 - 120602

Published: April 4, 2024

Working memory (WM) describes the dynamic process of maintenance and manipulation information over a certain time delay. Neuronally, WM recruits distributed network cortical regions like visual dorsolateral prefrontal cortex as well subcortical hippocampus. How input dynamics subsequent neural impact remains unclear though. To answer this question, we combined analysis behavioral capacity with measuring through task-related power spectrum changes, e.g., median frequency (MF) in functional magnetic resonance imaging (fMRI). We show that processing dynamics, task structure's specific timescale, leads to changes unimodal cortex's corresponding timescale which also relates working capacity. While more transmodal hippocampus its balance across multiple timescales or frequencies. In conclusion, here relevance both different for uni - subject's performance.

Language: Английский

Citations

3
Cognitive graphs: Representational substrates for planning DOI Open Access
Jungsun Yoo,

Liz Chrastil,

Aaron M. Bornstein

et al.

Published: Aug. 8, 2023

Making plans for upcoming actions is a computationally demanding process. To mitigate these demands,individuals can build extensive internal models of their environment – states, actions, and sequential relationships– that allow to be developed with minimal computational costs. Initially, reflect elaboratenetworks learned associative relationships, which used generate reward through more iterativecomputations such as trajectory sampling. After sufficient experience, compressed forms efficientlycapture long-range structure, allowing them rapid planning even in pursuit novel orchanging rewards. Here, we review recent work on the multitude representations support different formsof planning. We discuss how cognitive graphs, framework roots both psychology computerscience, provide unifying view relationships one another. Conceptualizinginternal graphs situates spectrum where kinds structured sequencescan queried formation iteratively predictive representations.We each are created during learning, transfer generalizeknowledge across environments. Taken together, this highlights significant impact variousassociative structures memory have

Language: Английский

Citations

4
The dynamics of functional brain network segregation in feedback-driven learning DOI Creative Commons
Xiaoyu Wang,

Katharina Zwosta,

Julius Steding

et al.

Communications Biology, Journal Year: 2024, Volume and Issue: 7(1)

Published: May 6, 2024

Abstract Prior evidence suggests that increasingly efficient task performance in human learning is associated with large scale brain network dynamics. However, the specific nature of this general relationship has remained unclear. Here, we characterize improvement during feedback-driven stimulus-response (S-R) by rate as well S-R habit strength and test whether how these two behavioral measures are a functional state transition from more integrated to segregated across learning. Capitalizing on separate fMRI studies using similar but not identical experimental designs, demonstrate for both higher rapid segregation. By contrast, reliably related changes Overall, our current study results highlight utility dynamic analysis. From broader perspective taking into account previous results, findings align framework conceptualizes segregation feature processing efficiency only present also other types domains.

Language: Английский

Citations

1