Shaping the Cortical Landscape: Functions and Mechanisms of Top-Down Cortical Feedback Pathways
- Neuroscience Graduate Program, Department of Psychology, University of California, Riverside, Riverside, CA, United States
An Addendum on
Shaping the Cortical Landscape: Functions and Mechanisms of Top-Down Cortical Feedback Pathways
by Zagha, E. (2020). Front. Syst. Neurosci. 14:33. doi: 10.3389/fnsys.2020.00033
Due to the addition of the published article to the Research Topic “Feed-forward and Feed-back Processing in the Cerebral Cortex: Connectivity and Function,” the inclusion of the following Transparency Statement is required to ensure full transparency of the previous review process and to prevent any perception of a conflict of interest.
“This manuscript was published prior to the launch of the Research Topic” Feed-forward and Feed-back Processing in the Cerebral Cortex: Connectivity and Function “for which the handling Editor and the author are co-Editors. The handling Editor and the author confirm the absence of any collaboration during its review process.”
Keywords: feedback, motor preparation, attention, predictive coding, cortical circuits, functional connectivity
Citation: Zagha E (2020) Addendum: Shaping the Cortical Landscape: Functions and Mechanisms of Top-Down Cortical Feedback Pathways. Front. Syst. Neurosci. 14:632485. doi: 10.3389/fnsys.2020.632485
Received: 23 November 2020; Accepted: 24 November 2020;
Published: 11 December 2020.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2020 Zagha. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Edward Zagha, ZWR3YXJkLnphZ2hhJiN4MDAwNDA7dWNyLmVkdQ==