About the Journal
Aims and Scope
ASP Transactions on Neural Information Computing is a non-profit, peer-reviewed journal that presents scientific research in various fields within neural information computing.
ASP Transactions on Neural Information Computing welcomes theoretical contributions aimed at winning further understanding of neural networks and learning systems, including, but not restricted to, architectures, learning methods, analysis of network dynamics, theories of learning, self-organization, biological neural network modelling, sensorimotor transformations and interdisciplinary topics with artificial intelligence, artificial life, cognitive science, computational learning theory, fuzzy logic, genetic algorithms, information theory, machine learning, neurobiology and pattern recognition. Suggestions for special issues covering selected topics may be considered.
ASP Transactions on Neural Information Computing is devoted to publish manuscripts that advance the knowledge of neural information computing beyond state-of-the-art.
Authors may contact the Editor-in-Chief in advance to inquire about whether their research topic is suitable for consideration by ASP Transactions on Neural Information Computing.
ASP Transactions on Neural Information Computing provides an important forum where researchers in academic, public and private arenas can present the latest results from research on neural information computing in a broad sense.
Peer Review Process
Manuscript submitted to ASP Transactions on Neural Information Computing is subject to rigorous peer review so as to ensure that the research published is 'good science'.
Manuscripts are sent out for review electronically, and all correspondence takes place via e-mail. Although the peer review process is accelerated by the use of electronic communication, traditional, high-quality peer-review standards are applied to all manuscripts submitted to the journal.
ASP Transactions on Neural Information Computing has a 'single blind' review process: Authors are not told who reviewed their paper. The peer referees’ identity remains unknown to the authors throughout the review process.
Peer reviewers are asked to give their opinion on a number of issues pertinent to the scientific and formal aspects of a paper, and to judge the papers on grounds of originality and urgency. All relevant information will be forwarded to the author(s).
Peer reviewers will have six possible options, for each article:
1. Accept Submission (i.e. no need for any revision)
2. Revisions Required (i.e. accepted if the author makes the requested revisions)
3. Resubmit for Review (i.e. accepted or rejected after revisions have been made - paper will be sent out for another peer review round)
4. Resubmit elsewhere (i.e. if the manuscript is better suited for another journal)
5. Decline Submission (i.e. if the manuscript is substandard)
6. See Comments (i.e. if the reviewer cannot choose from any of the above)
In addition, papers may be rejected directly by the Chief Editor if judged to be out of scope or if scientifically or formally sub-standard.
When asking for revisions, reviewers have two possible goals: to ask authors to tighten their arguments based on existing data or to identify areas where more data are needed. Even formal revision may be required if the language or style is sub-standard. To facilitate rapid publication, authors are given a maximum of 2 months for revision. After 2 months, revised manuscripts will be considered new submissions.
All articles to ASP Transactions on Neural Information Computing are posted online immediately as they are ready for publication. All articles will be assigned a DOI number (Digital Object Identifier) whereby they become searchable and citeable without delay.
This journal utilizes the LOCKSS system to create a distributed archiving system among participating libraries and permits those libraries to create permanent archives of the journal for purposes of preservation and restoration.
In addition, all files will be archived with PubMed Central (PMC), CLOCKSS and Portico.
Authors are permitted and encouraged to post any version of their manuscript to personal or institutional websites, in repositories and similar, prior to and after publication (while providing the bibliographic details of that publication).
The names and email addresses entered in this journal site will be used exclusively for the stated purposes of this journal and will not be made available for any other purpose or to any other party. The data collected from registered and non-registered users of this journal falls within the scope of the standard functioning of peer-reviewed journals. It includes information that makes communication possible for the editorial process; it is used to inform readers about the authorship and editing of content; it enables collecting aggregated data on readership behaviors, as well as tracking geopolitical and social elements of scholarly communication. This journal’s editorial team uses this data to guide its work in publishing and improving this journal. Data that will assist in developing this publishing platform may be shared with its developer Public Knowledge Project in an anonymized and aggregated form, with appropriate exceptions such as article metrics. The data will not be sold by this journal or PKP nor will it be used for purposes other than those stated here. The authors published in this journal are responsible for the human subject data that figures in the research reported here. Those involved in editing this journal seek to be compliant with industry standards for data privacy, including the European Union’s General Data Protection Regulation (GDPR) provision for “data subject rights” that include (a) breach notification; (b) right of access; (c) the right to be forgotten; (d) data portability; and (e) privacy by design. The GDPR also allows for the recognition of “the public interest in the availability of the data,” which has a particular saliency for those involved in maintaining, with the greatest integrity possible, the public record of scholarly publishing.