Back to Search Start Over

Distributed representations of prediction error signals across the cortical hierarchy are synergistic.

Authors :
Gelens, Frank
Äijälä, Juho
Roberts, Louis
Komatsu, Misako
Uran, Cem
Jensen, Michael A.
Miller, Kai J.
Ince, Robin A. A.
Garagnani, Max
Vinck, Martin
Canales-Johnson, Andres
Source :
Nature Communications; 5/10/2024, Vol. 15 Issue 1, p1-18, 18p
Publication Year :
2024

Abstract

A relevant question concerning inter-areal communication in the cortex is whether these interactions are synergistic. Synergy refers to the complementary effect of multiple brain signals conveying more information than the sum of each isolated signal. Redundancy, on the other hand, refers to the common information shared between brain signals. Here, we dissociated cortical interactions encoding complementary information (synergy) from those sharing common information (redundancy) during prediction error (PE) processing. We analyzed auditory and frontal electrocorticography (ECoG) signals in five common awake marmosets performing two distinct auditory oddball tasks and investigated to what extent event-related potentials (ERP) and broadband (BB) dynamics encoded synergistic and redundant information about PE processing. The information conveyed by ERPs and BB signals was synergistic even at lower stages of the hierarchy in the auditory cortex and between auditory and frontal regions. Using a brain-constrained neural network, we simulated the synergy and redundancy observed in the experimental results and demonstrated that the emergence of synergy between auditory and frontal regions requires the presence of strong, long-distance, feedback, and feedforward connections. These results indicate that distributed representations of PE signals across the cortical hierarchy can be highly synergistic. Whether prediction errors are encoded by synergistic information across the cortex is unknown. Here, the authors demonstrate that distributed representations of prediction errors across the cortex can be highly synergistic. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20411723
Volume :
15
Issue :
1
Database :
Complementary Index
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
177195053
Full Text :
https://doi.org/10.1038/s41467-024-48329-7