CORRECTION article

Front. Comput. Neurosci., 26 May 2021

Volume 15 - 2021 | https://doi.org/10.3389/fncom.2021.698574

Corrigendum: Attention in Psychology, Neuroscience, and Machine Learning

  • Gatsby Computational Neuroscience Unit, Sainsbury Wellcome Centre, University College London, London, United Kingdom

In the original article, there was an error. A portion of the text was repeated unnecessarily.

A correction has been made to 4. Ideas for Future Interaction Between Artificial and Biological Attention, 4.2. How to Deploy Attention, Paragraph 4. The corrected paragraph is shown below.

Activities would likely need to flexibly decide which of several possible goals should be achieved at any time and therefore where attention should be placed. This problem clearly interacts closely with issues around reinforcement learning—particularly hierarchical reinforcement learning which involves the choosing of subtasks—as such decisions must be based on expected positive or negative outcomes. Indeed, there is a close relationship between attention and reward as previously rewarded stimuli attract attention even in contexts where they no longer provide reward (Camara et al., 2013). A better understanding of how humans choose which tasks to engage in and when should allow human behavior to inform the design of a multi-task AI.

The author apologizes for this error and states that this does not change the scientific conclusions of the article in any way. The original article has been updated.

References

Summary

Keywords

attention, artificial neural networks, machine learning, vision, memory, awareness

Citation

Lindsay GW (2021) Corrigendum: Attention in Psychology, Neuroscience, and Machine Learning. Front. Comput. Neurosci. 15:698574. doi: 10.3389/fncom.2021.698574

Received

21 April 2021

Accepted

30 April 2021

Published

26 May 2021

Approved by

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Volume

15 - 2021

Updates

Copyright

*Correspondence: Grace W. Lindsay

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.

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