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, Computational Brain & Behavior 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.
Computational Brain & Behavior
Description
Identifiers
ISSN | 2522-0861 |
e-ISSN | 2522-087X |
Publisher
Springer International Publishing
Additional information
Data set: Springer
Articles
Computational Brain & Behavior > 2019 > 2 > 3-4 > 229-232
The target article by Lee et al. (in review) highlights the ways in which ongoing concerns about research reproducibility extend to model-based approaches in cognitive science. Whereas Lee et al. focus primarily on the importance of research practices to improve model robustness, we propose that the transparent sharing of model specifications, including their inputs and outputs, is also essential...
Computational Brain & Behavior > 2019 > 2 > 3-4 > 271-276
The target article on robust modeling (Lee et al. in review) generated a lot of commentary. In this reply, we discuss some of the common themes in the commentaries; some are simple points of agreement while others are extensions of a practical or abstract nature. We also address a small number of disagreements or confusions.