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Citation

Liu C, Hussain A, Luo B, Tan KC, Zeng Y & Zhang Z (2018) Special Issue of BICS 2016. Cognitive Computation, 10 (2), pp. 282-283. https://doi.org/10.1007/s12559-018-9551-3

Abstract
First paragraph: Brain-inspired cognitive models and algorithms are important components driving artificial intelligence (AI). Deep neural networks are currently considered the most effective models to yield high perception and inference performance by learning from big data. However they manifest inferior generalization, robustness, interpretability, and adaptability when compared to the human brain. Despite neural circuits and cognition mechanisms of the brain having many unknowns, they continue to inspire AI in different ways. The International Conference on Brain Inspired Cognitive System (BICS) has been organized since 2004 to stimulate interdisciplinary research and exchanges in brain-inspired cognitive systems and applications in diverse fields. The 8th International Conference on Brain Inspired Cognitive System (BICS 2016) was held in Beijing, China, November 28–30, 2016. This special issue aims to report new advances since BICS 2016, by including expanded versions of selected conference papers and also new contributions.

Notes
Output Type: Editorial

Journal
Cognitive Computation: Volume 10, Issue 2