Connection Science (CS)

Publisher :

Taylor & Francis

neuroscience
computational modelling
artificial intelligence
machine learning
deep learning
the analytic and synthetic sciences
Computer Science
applied applications

e-ISSN :

1360-0494

Issue Frequency :

Continuously

Impact Factor :

3.2

p-ISSN :

0954-0091

Est. Year :

1989

Mobile :

4402080520500

DOI :

YES

Country :

United Kingdom

Language :

English

APC :

YES

Impact Factor Assignee :

GOOGLE SCHOLAR

Email :

enquiries@taylorandfrancis.com

Connection Science is an interdisciplinary journal dedicated to exploring the convergence of the analytic and synthetic sciences, including neuroscience, computational modelling, artificial intelligence, machine learning and deep learning. A strong focus is on the articles arising from connectionist, probabilistic, dynamical, or evolutionary approaches in aspects of Computer Science, applied applications, and systems-level computational subjects that seek to understand models in science and engineering.