[Eeglablist] Special issues: From Brain Science to Artificial Intelligence

[钟圣华]

Special issue: From Brain Science to Artificial Intelligence

Link: https://urldefense.proofpoint.com/v2/url?u=https-3A__www.mdpi.com_journal_mathematics_special-5Fissues_Brain-5FScience-5FArtificial-5FIntelligence&d=DwIGaQ&c=-35OiAkTchMrZOngvJPOeA&r=kB5f6DjXkuOQpM1bq5OFA9kKiQyNm1p6x6e36h3EglE&m=Coztepb8eTTCQQVNXTKIiF06BXJUxOSFvDnPPT02K7rJxQUZC2FxbSTS0fr-WEBd&s=rr1Z5zTtP0MASgh9xHxGGgBc_I9nDDN1UjUBSHWMJ5k&e= 
	Dear Colleagues,

	From the beginning of the development of artificial intelligence, brain science has played a great role. Several attendees in the Dartmouth summer workshop are brain or cognitive scientists, including the founding father of AI, Dr. Herbert A. Simon. Not long ago, the understanding of sensory processing in brain served as an inspiration for the SIFT descriptor, which is the most widely used feature detector and descriptor. The convolutional and pooling layers in ConvNets are directly inspired by the classic notions of simple cells and complex cells in visual neuroscience, and the overall architecture is reminiscent of the LGN-V1-V2-V4-IT hierarchy in the visual cortex ventral pathway. Several other famous machine learning algorithms also have clear meanings and supports from brain science, e.g., sparse coding and independent component analysis. At the same time, the development of artificial intelligence has in turn promoted our understanding of the human brain, e.g., the modeling on EEG and fMRI data.

	In this context, this Special Issue focuses on the use of current advances in brain science for supporting the development of artificial intelligence, such as how to use the knowledge of human cognitive systems to enhance intelligent machine systems in practical tasks and also welcomes the study about how to use the AI method to analyze physiological signals. This Special Issue will accept high-quality papers containing original research results and survey articles of excellent merit in (but not limited to) the following fields:

		Computational intelligence
	
		Physiological signal analysis
	
		Machine learning
	
		Neural networks
	
		Deep learning
	
		Affective computing
	
		Brain-computer interface
	
		Visual sense
	
		Human–computer interaction
	
	We look forward to receiving your submission of original research and review articles on topics ranging from brain science to artificial intelligence.

	Prof. Dr. Shenghua Zhong Guest Editor