The laminar integration of sensory inputs with feedback signals in human cortex

Petro, L. S. and Muckli, L. (2017) The laminar integration of sensory inputs with feedback signals in human cortex. Brain and Cognition, 112, pp. 54-57. (doi: 10.1016/j.bandc.2016.06.007) (PMID:27814926) (PMCID:PMC5312781)

120595.pdf - Published Version
Available under License Creative Commons Attribution.



The cortex constitutes the largest area of the human brain. Yet we have only a basic understanding of how the cortex performs one vital function: the integration of sensory signals (carried by feedforward pathways) with internal representations (carried by feedback pathways). A multi-scale, multi-species approach is essential for understanding the site of integration, computational mechanism and functional role of this processing. To improve our knowledge we must rely on brain imaging with improved spatial and temporal resolution and paradigms which can measure internal processes in the human brain, and on the bridging of disciplines in order to characterize this processing at cellular and circuit levels. We highlight apical amplification as one potential mechanism for integrating feedforward and feedback inputs within pyramidal neurons in the rodent brain. We reflect on the challenges and progress in applying this model neuronal process to the study of human cognition. We conclude that cortical-layer specific measures in humans will be an essential contribution for better understanding the landscape of information in cortical feedback, helping to bridge the explanatory gap.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Petro, Dr Lucy and Muckli, Professor Lars
Authors: Petro, L. S., and Muckli, L.
College/School:College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience
Journal Name:Brain and Cognition
ISSN (Online):1090-2147
Published Online:01 November 2016
Copyright Holders:Copyright © 2016 The Authors
First Published:First published in Brain and Cognition 112:54-57
Publisher Policy:Reproduced under a Creative Commons License

University Staff: Request a correction | Enlighten Editors: Update this record

Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
593891Brain reading of contextual feedback and predictions - BrainReadFBPredCodeLars MuckliEuropean Research Council (ERC)ERC-2012-Stg-31INP - CENTRE FOR COGNITIVE NEUROIMAGING