JOURNAL ARTICLE

Printed Neuromorphic Devices Based on Printed Carbon Nanotube Thin‐Film Transistors

Abstract

Hardware implementation of artificial synapse/neuron by electronic/ionic hybrid devices is of great interest for brain‐inspired neuromorphic systems. At the same time, printed electronics have received considerable interest in recent years. Here, printed dual‐gate carbon‐nanotube thin‐film transistors with very high saturation field‐effect mobility (≈269 cm 2 V −1 s –1 ) are proposed for artificial synapse application. Some important synaptic behaviors including paired‐pulse facilitation (PPF), and signal filtering characteristics are successfully emulated in such printed artificial synapses. The PPF index can be modulated by spike width and spike interval of presynaptic impulse voltages. The results present a printable approach to fabricate artificial synaptic devices for neuromorphic systems.

Keywords:
Neuromorphic engineering Materials science Transistor Carbon nanotube Synapse Flexible electronics Thin-film transistor Nanotechnology Optoelectronics Computer science Voltage Artificial neural network Electrical engineering Artificial intelligence Neuroscience

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174
Cited By
7.18
FWCI (Field Weighted Citation Impact)
56
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0.98
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Citation History

Topics

Advanced Memory and Neural Computing
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Neuroscience and Neural Engineering
Life Sciences →  Neuroscience →  Cellular and Molecular Neuroscience
Photoreceptor and optogenetics research
Life Sciences →  Neuroscience →  Cellular and Molecular Neuroscience
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