Computer scientists have used biology as a model for computers for decades, with the goal of mimicking the distributed architecture of the brain. The similarity between artificial neural networks (ANNs) and biological systems has inspired ANN implementation in the mutual interaction and crosstalk in biological neural networks (BNN) through versatile neuromorphic architectures. For the sake of development of neurotransistors, 2D nanomaterial transition-metal dichalcogenide (TMD) layered floating-gate transistors (2DFGTs) are proposed in this project. The project implements neurotransistors into neuromorphic-based devices. TMD 2DFGTs are used to construct ANN and emulate the BNN neural signals. Here, 2DFGTs will be fabricated to achieve synaptic conditioning based on biochemical or electrical signaling activity. 2DFGTs built on a van der Waals stacking structure will be fabricated by mechanically exfoliated from 2D bulk TMD (i.e.MoS2 or) crystals. Solid-state 2DFGTs neurotransistors perform and merge learning and memory functions within a single unit device and in a neuron-like fashion. The plasticity and metaplasticity of artificial synapses in neurotransistors via varied TMD materials of 2DFGTs will be used to mimic the intrinsic plasticity of the neuronal activities and implement neuromorphic information processing. The plasticity of artificial synapses, learning and memory functions in solid-state neurotransistors will be investigated. Moreover, themetaplasticity of spike-timing-dependent plasticity (a key characteristic of biological synapses) will also be realized in the solid-state neurotransistors with a stimulus. Multiple pulsed input signals of the solid-state neurotransistors should be non-linearly processed by sigmoidal transformation into the output current, which resembles the generation of neuronal signals, i.e. action potential, in BNN. Our previous works have proved varied 2DFGTs have been successfully applied in many neuromorphic applications. Our solid-state neurotransistors will open avenue of combining artificial neuromorphic devices to realize biological neural networks for the exploitation of neuromorphic-based devices in neuroprosthetics in the future. Please refer to our lab website for more detailed information regarding the neuromorphic study.(https://bioelecinterfacelab.wixsite.com/home) The program will provide a monthly stipend of NT$15,000 in Taiwan for up to six months.