Tianqiao and Chrissy Chen Institute Establishes Spiking Intelligence Lab
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The Tianqiao and Chrissy Chen Institute of Brain Science has launched the Spiking Intelligence Lab to develop brain-inspired AI models that bridge neuroscience and artificial intelligence in both directions.
The Tianqiao and Chrissy Chen Institute of Brain Science (TCCI) has officially launched the Spiking Intelligence Lab (SIL), marking a new milestone in brain-inspired artificial intelligence research.
The announcement was made on December 13 in Shanghai during the forum titled “From Brain–Computer Interfaces to Brain–Machine Symbiosis,” held alongside the annual meeting of the Brain–Computer Interface and Interaction Branch of the Chinese Neuroscience Society. At the event, TCCI founder Chrissy Chen unveiled the establishment of the new laboratory.
The Spiking Intelligence Lab is a non-profit research institution led by Professor Li Guoqi of the Institute of Automation, Chinese Academy of Sciences, a leading expert in neuromorphic computing and brain-inspired intelligence.
Advancing Brain-Inspired Large Models
SIL will focus on the development of brain-inspired large-scale models with neural dynamics, aiming to tightly integrate computational mechanisms such as spiking communication and spatiotemporal dynamic encoding with the fine-grained structures of dendritic neurons. The goal is to construct a “whole-brain architecture” that combines powerful perceptual capabilities with deep memory and reasoning functions.
By grounding AI systems more directly in principles of neuroscience, the lab seeks to move beyond conventional neural networks toward architectures that more closely resemble biological intelligence.
A Two-Way Path Between Brain Science and AI
According to the institute, SIL represents a strategic effort to enable bidirectional empowerment: using insights from brain science to drive the next generation of AI, while simultaneously leveraging AI advances to accelerate discoveries in neuroscience. This reciprocal approach reflects a growing global trend toward tighter integration between cognitive science and artificial intelligence research.
