Computational Brain & Behavior publishes research on the computational basis of the mind. The journal covers a wide range of topics using mathematical modeling, computer simulation, and empirical work. This journal places a strong emphasis on scientific rigor, and on the greater insights that quantitative modeling can provide. In addition to contributions from psychology, neuroscience, computer science, mathematics, and linguistics, the journal strongly encourages contributions from related disciplines, such as model-based cognitive neuroscience, computational psychiatry, and machine learning.
The journal is affiliated with the Society for Mathematical Psychology.
Peer Review Policy
All submissions are peer-reviewed and the peer review process is single blind. The editor in chief performs a first check of the article to ensure that it reaches a threshold of quality to be sent in peer-review. The editor in chief ensures that each manuscript is reviewed by a minimum of two independent experts in a related field. Reviewers will receive instructions to comply with the journal ethical and editorial norms, and to evaluate the submission according to the following criteria: ethical soundness, methodological rigour, originality, and potential to contribute to the body of scientific knowledge.
- Scott Brown
- Publishing model
- Hybrid (Transformative Journal). Learn about publishing Open Access with us
- 49 days
- Submission to first decision
- 88 days
- Submission to acceptance
- 53,003 (2019)
Breaking Deadlocks: Reward Probability and Spontaneous Preference Shape Voluntary Decisions and Electrophysiological Signals in Humans
Authors (first, second and last of 5)
Authors (first, second and last of 6)
As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times. Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.
Societies, partners and affiliations
About this journal
- Electronic ISSN
- Print ISSN
- Abstracted and indexed in
- EBSCO Discovery Service
- Google Scholar
- Institute of Scientific and Technical Information of China
- Japanese Science and Technology Agency (JST)
- OCLC WorldCat Discovery Service
- ProQuest-ExLibris Primo
- ProQuest-ExLibris Summon
- TD Net Discovery Service