A Non-Monotonic Reconfigurable Neural Unit with Dynamic Integration Control for Advanced Neuromorphic Computing
This paper introduces a reconfigurable neural unit (RNU) that integrates a MoTe2/h-BN synaptic transistor with an Ag/h-BN/graphene volatile memristor to achieve a dynamically tunable U-shaped non-monotonic activation function and precise spatiotemporal inhibitory control, thereby enhancing the performance of neuromorphic systems in image recognition and EEG decoding tasks.