Tang Shiming is a researcher who focuses on studying how slightly more complex shapes, such as line segments longer than a bar, are recognized by the brain, in order to understand the fundamental principles of visual cognition. Additionally, he has established advanced platforms for visual cognitive behavior and neurophysiology experiments. Through the use of techniques such as electrode arrays, optical imaging, molecular biochemistry, and two-photon imaging, he investigates the complex neural circuits in the visual cortex to understand how the visual system simultaneously generates selective and invariant shape recognition.
