Gate‐Tunable Highly Linear Bipolar Photoresponse in Se@SWCNT Adaptive Neurons for Dynamically Programmable Neuromorphic Computing

> 0.99) in weight variation following optical stimulation, and simultaneously achieves linear persistent photoconductivity and negative photoconductivity with over 128 memory states, which is not reported previously. By adjusting light intensity and wavelength range, consistent weight rule processing across three tasks of increasing complexity is demonstrated. Notably, different visual tasks require distinct neural structures and decay rates. The proposed transistor facilitates transitions between bio-inspired brain regions via optical hybrid programming, adapting to dynamic visual environments. This innovation contributes significantly to brain-like computing and bio-inspired vision, due to its exceptional accuracy and dynamic switch models.