Laboratory Introduction
Intelligent life speaks the language of “ions”, while artificial intelligence speaks the language of "electrons". In biological systems, signal generation and processing occur through precisely controlled ion transport across nanoscale ionic channels, which generate action potentials in micron-scale neurons, ultimately enabling signal transmission and information storage across macroscopic neural networks. To develop high-throughput, low-power brain-inspired computing systems and bridge the communication barrier between biological and artificial intelligence, our Neuromorphic Perception and Computing Lab conducts interdisciplinary research spanning chemistry, materials science, electronics, and biology, focusing on ion-based "brain-inspired computing" and "bio-inspired perceptions".
 The "Neuromorphic Perception and Computing" lab was established in 2021, led by Dr. Kai Xiao (a Humboldt scholar and a national high-level talent recipient; obtained a bachelor's degree from Jilin University in 2012, a PhD degree from the Institute of Chemistry of the Chinese Academy of Sciences in 2017, and engaged in postdoc research at the Max Planck Institute and Leibniz Institute in Germany from 2017 to 2021). The research group currently has 4 postdoc students, 2 PhD students, 6 master students and 5 research assistants. Since its establishment, the research group has focused on neural inspired materials and brain like calculator devices in Nat Commun, Sci Adv. and others have published multiple papers, and have undertaken and participated in multiple funds such as the National Science and Technology Foundation, the Ministry of Science and Technology, the Science and Technology Commission, and provinces and cities. The research group is recruiting postdoctoral fellows and research assistants for a long time. Students majoring in materials, chemistry, biomedical engineering, neural computing, electronic circuits, and other fields are welcome to join! |
|
|
|
|
|
|
|
|
|
|
|
|