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Corrigendum: Gradient-free training of recurrent neural networks using random perturbations
Jesús García Fernández1, Sander Keemink1, Marcel van Gerven1
1Department of Machine Learning and Neural Computing, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands.
Frontiers in Neuroscience
|November 20, 2024
Summary
This study corrects a previously published article DOI. The correction ensures accurate citation and retrieval of scientific research on neural networks.
Area of Science:
- Neuroscience
- Computational Neuroscience
Context:
- Correction of a previously published article DOI.
- Ensuring accurate citation and retrieval of scientific research.
Purpose:
- To rectify an error in the article's digital object identifier.
- To maintain the integrity of scientific literature.
Summary:
- The article DOI 10.3389/fnins.2024.1439155 has been corrected.
- This ensures proper referencing and access to the research.
Impact:
- Facilitates accurate citation and tracking of scientific publications.
- Upholds the reliability and accessibility of the neuroscience research record.
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