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Single-Transistor Neuron with Excitatory-Inhibitory Spatiotemporal Dynamics Applied for Neuronal Oscillations

Brain-inspired neuromorphic computing systems with the potential to drive the next wave of artificial intelligence. We demonstrate a single-transistor neuron that implements excitatory-inhibitory spatiotemporal integration and series of essential neuron behaviors.
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Yang Xu
Professor, Zhejiang University
Single-Transistor Neuron with Excitatory-Inhibitory Spatiotemporal Dynamics Applied for Neuronal Oscillations
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Single‐Transistor Neuron with Excitatory–Inhibitory Spatiotemporal Dynamics Applied for Neuronal Oscillations

A single-transistor neuron with excitatory–inhibitory spatiotemporal dynamics is constructed by integrating a threshold switch with a 2D MoS2 channel, which exhibits bio-realistic dynamics to achieve…

This work demonstrated a single-transistor artificial excitatory-inhibitory (E-I) neuron by integrating a threshold switch connected with a gated 2D semiconductor MoS2 channel. Without auxiliary reset circuits, the device exhibits bio-realistic dynamics to emulate essential neuronal functions such as leaky integration, threshold-driven fire, inhibition, firing threshold tuning, and self-recovery. The biomimetic neuron operates with independently regulated excitatory and inhibitory inputs. These unique designs allow the spatiotemporal integration of excitatory and inhibitory signals to be realized in a single device without any circuits.

More importantly, the artificial E-I neuron can be adopted to generate neuronal oscillations and support information integration and synchronization. Neuronal oscillations originated from the synergistic effect of E-I signals, and constructs high-dimensional population codes to enable precise shuffling/integration of bottom-up and top-down signals. The E-I neuron demonstrates advanced neuronal functions and provides a promising pathway to building ultra-scalable, low-cost, basic components for large-scale integrated neuromorphic systems with superior brain-inspired functions.

https://onlinelibrary.wiley.com/doi/abs/10.1002/adma.202207371

Advanced  Materials, 11 October 2022
https://doi.org/10.1002/adma.202207371

Go to the profile of Yang Xu
Yang Xu (FInstP)
Professor, Zhejiang University
Prof. Yang Xu is a Fellow of the Institute of Physics (FInstP, IOP Fellow), IEEE NTC Distinguished Lecturer and IEEE Senior Member of the Electron Devices Society. He received his B.S. degree in Institute of Microelectronics at Department of ECE from Tsinghua University, M.S. and Ph.D. degrees in ECE from the University of Illinois Urbana-Champaign (UIUC), USA. He is now a full professor at the School of Micro-Nano Electronics, Zhejiang University, China. He was also a visiting by-Fellow of Churchill College at the University of Cambridge, UK, and a visiting professor at the University of California Los Angles (UCLA). He has published more than 120 papers including Nature Nanotechnology, Nature Electronics, Nature Photonics, Chemical Reviews, Advanced Materials, Chemical Society Reviews, Nature Communications, Nano Letters, ACS Nano, and IEDM,etc. He holds over 30 granted patents and gave more than 50 talks in international conferences. He is also served as Associate Editor of IEEE Nanotechnology Magazine, Microelectronics Journal, Micro & Nano Letters, and IET Circuits, Devices & Systems, Advisory Panel Member of IOP Nanotechnology, and was TPC committee members of IEEE-EDTM, IEEE-IPFA, and IEEE-EDAPS conferences. His research interests include emerging 2D/3D integrated optoelectronic devices for Internet-of-Things and Post-Moore Ubiquitous Electronics.

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