The quest for brain research is to uncover the nature of brain cognition, consciousness, and intelligence. Simultaneously, Artificial Intelligence (AI) strives to craft intelligence within machines. The development of these two fields is undergoing a continuous trend of crossvergence and convergence. To bring together active researchers and practitioners in the frontiers of Artificial Intelligence and Human Brain Research for the presentation of original research results and to provide an opportunity for the exchange and dissemination of innovative research ideas relevant to both fields, we propose this special issue. Human Brain and Artificial Intelligence will contribute to answering the following two questions: How can AI techniques help to human brain research (AI- inspired/powered brain research)? And, how can human brain research inspire the study of AI (brain-inspired computing)? The special issue will clearly be greatly helpful to the brain and cognitive science, neural computation and artificial general intelligence, brain-machine interface, data science, and their applications.

Scope of Topics

The topics of interest include, but are not limited to：

AI for brain science:

• Brain network modeling
• Neural decoding and encoding
• Brain function analysis
• Neuroinformatics
• Brain structures
• Cognitive functions
• Brain activity and behavior
• Genetic and circuit mechanisms
• Neuropharmacology
• Neural biomarker identification
• Disease prediction and diagnosis
• Brain development and aging
• Cross-species brain analysis

AI for brain technology:

• Brain-computer interface
• Brain image processing
• Neural signal processing
• Brain stimulation
• Cognitive rehabilitation
• Task related data analysis
• Brain imaging genomics
• Neurosurgery
• Neuroprosthetics
• Neurotechnology
• Diagnosis of brain disorders

Brain-inspired  AI:

• Neuromorphic engineering
• Spiking neural networks
• Emotional  AI
• Embodied  AI
• Biologically plausible models
• Sensory integration and processing
• Memory systems
• Synaptic plasticity
• Learning algorithms
• Neural architecture optimization
• Energy-efficient computing

Submission Guidelines

Authors should prepare papers in accordance with the format requirements of Tsinghua Science and Technology, with reference to the Instruction given at https://www.sciopen.com/journal/1007-0214, and submit the complete manuscript through the online manuscript submission system at https://mc03.manuscriptcentral.com/tst with manuscript type as “Special Issue on Brain Intelligence and Artificial Intelligence”.

Important Dates

Deadline for submissions: March 31, 2025

Guest Editors

Quanying Liu, Southern University of Science and Technology, China 

Email: liuqy@sustech.edu.cn

Haiyan Wu, University of Macau, China

haiyanwu@um.edu.mo

Yu Qi, Zhejiang University, China

qiyu@zju.edu.cn

An Zeng, Guangdong University of Technology, China

zengan@gdut.edu.cn

Dan Pa, Guangdong Polytechnic Normal University, China

pandan@gpnu.edu.cn