A Photosensitive Spiking Neuron Using a Single Band-Modulation Device With Tunable Spiking Sensitivity

Bio-inspired visual systems require a critical component to perceive optical stimuli and convert them into spiking signals. In this study, a compact photosensitive spiking neuron is demonstrated using a single band-modulation device called zero subthreshold swing and zero impact ionization FET (Z 2...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on electron devices 2024-10, Vol.71 (10), p.5874-5880
Hauptverfasser: Chen, Yingxin, Liu, Chenyu, Tian, Tian, Xie, Hui, Cristoloveanu, Sorin, Zhou, Peng, Xu, Yong, Liu, Fanyu, Wan, Jing
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Bio-inspired visual systems require a critical component to perceive optical stimuli and convert them into spiking signals. In this study, a compact photosensitive spiking neuron is demonstrated using a single band-modulation device called zero subthreshold swing and zero impact ionization FET (Z 2 -FET). This device is fully compatible with the standard CMOS process and features integrate-and-fire (IF) neural behavior. The firing threshold and spiking frequency of the Z 2 -FET neuron can be modulated by incident light with various intensities and wavelengths, similar to the photoresponse observed in biological neurons. TCAD simulations validate the working principle, originating from the deep depletion effect and photo-induced reduction of energy barriers. Inspired by biological neurons with adjustable spike encoding functionality, the Z 2 -FET neuron achieves controllable photoresponsive frequency when the input current, top-gate, and back-gate voltages are tuned. With its excellent scaling capability, low energy consumption, and tunable spiking sensitivity, the photosensitive Z 2 -FET neuron holds great potential in multifunctional neuromorphic applications, such as intelligent visual perception and neural computing.
ISSN:0018-9383
1557-9646
DOI:10.1109/TED.2024.3452073