This paper reports an ultra-short channel organic neuromorphic vertical transistor with distributed reservoir states for efficient recognition and prediction. The device, acting as a reservoir, maps sequential signals into a distributed reservoir state space with 1152 states. Grouped-reservoir computing based on this device achieves over 94% recognition accuracy and over 95% prediction correlation, offering a new strategy for high-performance reservoir computing networks.
