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.