Neuromorphic hybrid systems based on polarizable thin film-coated silicon nanowire field-effect transistors
- Resource Type
- Conference
- Authors
- Panes-Ruiz, Luis Antonio; Ibarlucea, Bergoi; Baek, Eunhye; Park, SangWook; Baek, Chang Ki; Feng, Xinliang; Cuniberti, Gianaurelio
- Source
- 2021 17th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA) Cellular Nanoscale Networks and their Applications (CNNA), 2021 17th International Workshop on. :1-4 Sep, 2021
- Subject
- Bioengineering
Components, Circuits, Devices and Systems
Computing and Processing
General Topics for Engineers
Geoscience
Nuclear Engineering
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Neuromorphics
Films
Neurons
Emulation
Voltage
Signal processing
Silicon
silicon nanowire field-effect transistor
thin films
sol-gel
BECOFs
neuromorphic architecture
- Language
We present two approaches for the development of hybrid neurotransistors based on the combination of polarizable thin films on silicon nanowires field-effect transistors for the emulation of signal processing by neurons. The polarizing properties of the films coming from the ion redistribution under bias voltage provide the systems with a memristive behavior needed to achieve the neuronal intrinsic plasticity using ionic migration in the neuron membrane at a hardware level.