RT Journal Article
SR Electronic
T1 Adaptive coding of stimulus information in human frontoparietal cortex during visual classification
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2021.11.22.469511
DO 10.1101/2021.11.22.469511
A1 David Wisniewski
A1 Carlos González-García
A1 Silvia Formica
A1 Alexandra Woolgar
A1 Marcel Brass
YR 2022
UL http://biorxiv.org/content/early/2022/01/05/2021.11.22.469511.abstract
AB The neural mechanisms of how frontal and parietal brain regions support flexible adaptation of behavior remain poorly understood. Here, we used functional magnetic resonance imaging (fMRI) and model-based representational similarity analysis (RSA) to investigate frontoparietal representations of stimulus information during visual classification under varying task demands. Based on prior research, we predicted that increasing perceptual task difficulty should lead to more categorical coding of stimulus information, and that exemplar-level stimulus coding would be restricted to posterior, sensory brain regions. Counter to our expectations, however, we found frontoparietal regions encoded exemplar-level stimulus information. Interestingly, the anterior intraparietal sulcus (aIPS) encoded stimuli equally well regardless of perceptual difficulty, and these representations were directly related to choice behavior (proportion of guessing). Overall, these findings reveal unexpected exemplar-level stimulus coding in frontoparietal cortex, and highlight the role of aIPS in supporting adaptive behavior.Competing Interest StatementThe authors have declared no competing interest.