TY - INPR A1 - Gelens, Frank A1 - Äijälä, Juho 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. In other words, any two signals can either share common information (redundancy) or they can encode complementary information that is only available when both signals are considered together (synergy). 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 five common awake marmosets performing two distinct auditory oddball tasks, and investigated to what extent event-related potentials (ERP) and broadband (BB) dynamics exhibit redundancy and synergy for 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/75673 UR - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-756733 UR - https://www.biorxiv.org/content/10.1101/2023.01.12.523735v3 IS - 2023.01.12.523735 Version 3 ER -