Towards a Neural Network Hypothesis for Functional (Dissociative) Amnesia: Catastrophic Forgetting
Towards a Neural Network Hypothesis for Functional (Dissociative) Amnesia: Catastrophic Forgetting
Review Data
Q: Is the topic relevant to the journal's area of interest? Is it contemporary and interesting for
researchers?
A: Very good
Abstract & Keywords
Q: Are all required components included in the abstract? Are the keywords appropriately chosen?
A: Excellent
Goal
Q: Is the goal explicitly stated in the Introduction? Is its formulation clear and unambiguous?
A: Very good
Structure
Q: Is the paper's structure coherent? Is it in coherence with the goal of the paper?
A: Very good
Tools and Methods
Q: Are the methods the author uses adequate and well used?
A: Good
Discussion & Conclusion
Q: Is it related to the results presented before? Do you consider them as coherent?
A: Very good
Comments:
The review article makes an appeal to the study of artificial neural networks in the hope that, as in other mnestic disorders, this might give insight into the mechanisms underpinning functional amnesia. The Discussion encompasses the relevant findings from the previous studies on functional amnesia and provides a thorough analysis of the findings and their implications. It also adequately discusses the literature. The Discussion section summarizes from the results of the review that the evolved functions of sleep and dreaming may be pertinent to the prevention of both overfitting and catastrophic forgetting in the human brain.
Literature
Q: Does the author utilize relevant literature?
A: Very good
Author's knowledge
Q: What is the level of the author’s knowledge? Does the author utilize all recent contributions relevant to the topic?
A: Very good
Length
Q: Is the paper's length adequate to the topic's significance? Do you suggest shortening the paper without losing its value?
A: Good
Figures & Tables
Q: Does the author use them suitably? Are legend and notations clear?
A: Not applicable.
Writing style
Q: Is it clear and understandable?
A: Very good
Further comments on the paper
Comments: This review article proposes a neural network hypothesis for functional amnesia based on a phenomenon encountered during sequential learning in artificial neural networks: catastrophic forgetting or catastrophic interference. This article holds significance as functional amnesia or (also known as dissociative amnesia, psychogenic amnesia, or mnestic block syndrome) is a rare disorder mainly affecting in a pattern dissimilar to that seen in other amnesic disorders.
Q: Would you recommend this manuscript for further publication?
A: Yes - Suitable to be published
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Author Info
Corresponding Author
Andrew LarnerHonorary Senior Research Fellow, Department of Brain Repair & Rehabilitation, Institute of Neurology, University College London, UK
Article Info
Article Type
Review ArticlePublication history
Received: Fri 15, Jul 2022Accepted: Tue 02, Aug 2022
Published: Fri 19, Aug 2022
Copyright
© 2023 Andrew Larner. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Hosting by Science Repository.DOI: 10.31487/j.NNB.2022.03.02