Aims & Scope

The journal aims to advance research and practice at the intersection of brain science, artificial intelligence, and cognitive engineering. It provides a platform for scholarly work addressing the integration of cutting-edge neuroscientific discoveries into computational models, cognitive algorithms, neural interfaces, brain-inspired robotics, and ethical frameworks for AI development. The journal welcomes theoretical, empirical, and application-oriented studies that contribute to the understanding and advancement of brain-inspired technologies and their impact on human intelligence and machine learning across diverse global contexts.

Single-blinded Peer Review

Committed to scientific integrity and editorial excellence, Brain Science & Brain-inspired Intelligence a single-blinded peer-review process and adheres to the highest ethical standards as outlined by COPE. The journal embraces transparency, reproducibility, and accessibility, ensuring that all published content is freely available under an open-access model to maximize dissemination and global impact.

ISSN

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Abstracting & Indexing

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