An Implementation of Actor-Critic Algorithm on Spiking Neural Network Using Temporal Coding Method
Round 1
Reviewer 1 Report (Previous Reviewer 2)
please find my comments in an attached file.
Comments for author File: 
Comments.pdf
Author Response
Dear Editors and Reviewers，
The manuscript (ID: applsci-1949374) has been carefully revised according to the reviewers’ comments. We appreciate their detailed and useful comments and suggestions. The point-by-point answers to the comments and suggestions are listed as attached. Our replies are shown in blue color while those paragraphs that have been inserted into the manuscript are shown in red color.
Please see the attachment. Thanks.
Author Response File: 
Author Response.docx
Reviewer 2 Report (Previous Reviewer 3)
Dear Authors
I have read An implementation of Actor-Critic Algorithm on Spiking Neural Network Using Temporal Coding Method send to Applied Science.The article is interesting. The subject is very interesting. I have some suggestions to consider before final publication. In the introduction, the Authors did not specify the purpose of the research. What is the utilitarian aspect of research.
Author Response
Dear Editors and Reviewers，
The manuscript (ID: applsci-1949374) has been carefully revised according to the reviewers’ comments. We appreciate their detailed and useful comments and suggestions. The point-by-point answers to the comments and suggestions are listed as attached. Our replies are shown in blue color while those paragraphs that have been inserted into the manuscript are shown in red color.
Please see the attachment. Thanks.
Author Response File: Author Response.docx
Round 2
Reviewer 1 Report (Previous Reviewer 2)
Thank you for addressing all comments. It is good to go.
This manuscript is a resubmission of an earlier submission. The following is a list of the peer review reports and author responses from that submission.
Round 1
Reviewer 1 Report
In this paper, the simulation results are described to show the superiority of the proposed algorithm. In this regard, several improvements are needed.
First, in order to show the superiority of the proposal through simulation, this paper should verify the simulation model. That is, since the simulation model is accurate, the results must also show that the accuracy is guaranteed.
There may be significant gaps between simulation results and actual experimental results. Through actual experiments, the superiority of the proposed algorithm including any possible shortcomings should be shown.
Author Response
Thanks for the comments. Please find my reply in the attached file.
Author Response File: Author Response.docx
Reviewer 2 Report
Please find it in the attached file.
Comments for author File: Comments.pdf
Author Response
Thanks for the comments. Please find my reply in the attached file.
Author Response File: Author Response.docx
Reviewer 3 Report
Dear Authors
I have read the An implementation of Actor-Critic Algorithm on Spiking Neural Network Using Temporal Coding Method send to Applied Science. The article is interesting. The subject is very interesting. I have some suggestions to consider before final publication. the methodologies used are correct. Based on the experiment, the authors thoroughly analyzed the obtained results. Due to the fact that the article is pioneering, the discussion of the results is difficult. However, based on similar research conducted by other scientists, the Authors should conduct a discussion of the results, which is missing in the article.
Additionally, the authors did not define the purpose of the research, which should also be completed in Chapter 1.
Author Response
Thanks for the comments. Please find my reply in the attached file.
Author Response File: Author Response.docx
