TY  - INPR
A1  - Gelens, Frank
A1  - Komatsu, Misako
A1  - Uran, Cem
A1  - Jensen, Michael A.
A1  - Miller, Kai J.
A1  - Ince, Robin A. A.
A1  - Vinck, Martin
A1  - Canales-Johnson, Andres
T1  - Distributed representations of prediction error signals across the cortical hierarchy are synergistic
T2  - bioRxiv
N2  - An important question concerning inter-areal communication in the cortex, is whether these interactions are synergistic, i.e. convey information beyond what can be performed by isolated signals. Here, we dissociated cortical interactions sharing common information from those encoding complementary information during prediction error processing. To this end, we computed co-information, an information-theoretical measure that distinguishes redundant from synergistic information among brain signals. We analyzed auditory and frontal electrocorticography (ECoG) signals in three common awake marmosets and investigated to what extent event-related-potentials (ERP) and broadband (BB) dynamics exhibit redundancy and synergy in auditory prediction error signals. We observed multiple patterns of redundancy and synergy across the entire cortical hierarchy with distinct dynamics. The information conveyed by ERPs and BB signals was highly synergistic even at lower stages of the hierarchy in the auditory cortex, as well as between lower and higher areas in the frontal cortex. These results indicate that the distributed representations of prediction error signals across the cortical hierarchy can be highly synergistic.
Y1  - 2023
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/75671
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-756711
UR  - https://www.biorxiv.org/content/10.1101/2023.01.12.523735v1
IS  - 2023.01.12.523735 Version 1
ER  -