Neurocomputing 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.
Journal Home:  Journal Homepage
Editor-in-Chief:  Zidong Wang
scope: Neurocomputing covers practical aspects with contributions on advances in hardware and software development environments for neurocomputing, including, but not restricted to, simulation software environments, emulation hardware architectures, models of concurrent computation, neurocomputers, and neurochips (digital, analog, optical, and biodevices).
Print ISSN:  09252312
Abstracting and Indexing:  Scopus Science Citation Index Expanded
Imapct Factor 2020:  5.719
Subject Area and Category:  Computer Science,Artificial Intelligence ,Computer Science Applications,Neuroscience,Cognitive Neuroscience
H Index:  143
Q1:  Computer Science Applications
Cite Score:  9.8
Journal Rank(SJR):  1.085
Latest Articles:   Latest Articles in Neurocomputing Journal - Elsevier | 2020 Impact Factor:5.719|Cite Score:9.8|Q1
Guidelines for Authors: Neurocomputing Journal - Elsevier | 2020 Impact Factor:5.719|Cite Score:9.8|Q1 Author Guidelines