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CORRECTION article

Front. Neurorobot., 29 November 2022

Corrigendum: A brain-inspired decision-making spiking neural network and its application in unmanned aerial vehicle

\nFeifei Zhao,&#x;Feifei Zhao1,2Yi Zeng,,,*&#x;Yi Zeng1,2,3,4*Bo Xu,,Bo Xu1,2,4
  • 1Research Center for Brain-Inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China
  • 2University of Chinese Academy of Sciences, Beijing, China
  • 3National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
  • 4Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China

A corrigendum on
A brain-inspired decision-making spiking neural network and its application in unmanned aerial vehicle

by Zhao, F., Zeng, Y., and Xu, B. (2018). Front. Neurorobot. 12:56. doi: 10.3389/fnbot.2018.00056

In the published article, there was an error. “Variable writing error in the algorithm 1.”

A correction has been made to Materials and methods, “Experimental procedure,” Algorithm 1. This sentence previously stated:

“DLPFC-DtrD1”

The corrected sentence appears below:

“DLPFC-StrD1”

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: spiking neural network, brain-inspired decision-making, dopamine regulation, multiple brain areas coordination, reinforcement learning, UAV autonomous learning

Citation: Zhao F, Zeng Y and Xu B (2022) Corrigendum: A brain-inspired decision-making spiking neural network and its application in unmanned aerial vehicle. Front. Neurorobot. 16:1092428. doi: 10.3389/fnbot.2022.1092428

Received: 08 November 2022; Accepted: 17 November 2022;
Published: 29 November 2022.

Edited and reviewed by: Yongping Pan, National University of Singapore, Singapore

Copyright © 2022 Zhao, Zeng and Xu. 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: Yi Zeng, eWkuemVuZyYjeDAwMDQwO2lhLmFjLmNu

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.