Lab of Brain-inspired Computing Theory and Device

Bio-inspired computing is a new computing technique that borrows the basic principles of brain science. It offers a pathway to overcome the bottleneck of conventional von Neumann architecture. Our group will carry out collaborative research on bio-inspired computing from the theory and device level. 

Theory Level: We will focus on the architecture, modeling and algorithm of bio-inspired computing and the basic theory of bio-inspired computing based intelligence. Specifically, benefiting from neuron model and the neural mechanism of neural circuit, neural coding, cognition, learning, memory, and decision-making, establish and further optimize the mathematical/computational principles and models of bio-inspired information processing and then build a unified theoretical framework of bio-inspired computing and intelligence, which lays the theoretical foundation for future development of bio-inspired devices and systems.

Device Level: Based on the new materials and cutting-edge foundry processing, we will devote efforts to the bio-inspired neuromorphic device with high performance, trying to address the issues such as poor uniformity, reliability, and scalability. Besides, research on large-scale device array, network, and design of peripheral circuits will also be conducted. Based on our proposed architecture consisting of neuromorphic device with sensing and computing capability, in-memory and in-sensor computing systems can be envisioned.