  In recent years, neuromorphic computing has gained attention as a promising
approach to enhance computing efficiency. Among existing approaches,
neurotransistors have emerged as a particularly promising option as they
accurately represent neuron structure, integrating the plasticity of synapses
along with that of the neuronal membrane. An ambipolar character could offer
designers more flexibility in customizing the charge flow to construct circuits
of higher complexity. We propose a novel design for an ambipolar neuromorphic
transistor, utilizing carbon nanotubes as the semiconducting channel and an
ion-doped sol-gel as the polarizable gate dielectric. Due to its tunability and
high dielectric constant, the sol-gel effectively modulates the conductivity of
nanotubes, leading to efficient and controllable short-term potentiation and
depression. Experimental results indicate that the proposed design achieves
reliable and tunable synaptic responses with low power consumption. Our
findings suggest that the method can potentially provide an efficient solution
for realizing more adaptable cognitive computing systems.
