Configurable Neural Phase Shifter With Spike-Timing-Dependent Plasticity

Author

Zhang, Lei ; Lai, Qianxi ; Chen, Yong

Author_Institution

Mech. & Aerosp. Eng. Dept., Univ. of California at Los Angeles, Los Angeles, CA, USA

Volume

31

Issue

7

fYear

2010

fDate

7/1/2010 12:00:00 AM

Firstpage

716

Lastpage

718

Abstract

A configurable neural phase shifter (NPS) is fabricated for spike neuromorphic circuits by integrating an ionic/Si hybrid synaptic transistor with a conventional MOSFET. NPS can mimic a neural network to process temporal-code pulses by shifting their temporal phases by t ranged between 9.0 and 24.5 ms, which falls in the range observed in biological neural networks. t can also be configured by following the synaptic learning rule of spike-timing-dependent plasticity. The device can significantly simplify the structures and reduce the power consumption of neuromorphic circuits to emulate neural networks for spike signal processing, memory, and learning.

Keywords

MOSFET; elemental semiconductors; neural nets; phase shifters; silicon; MOSFET; Si; biological neural networks; configurable neural phase shifter; ionic-Si hybrid synaptic transistor; power consumption; spike neuromorphic circuits; spike signal processing; spike-timing-dependent plasticity; synaptic learning rule; temporal-code pulses; time 24.5 ms; time 9.0 ms; Configurable neural phase shifter (NPS); spike neuromorphic circuits; spike-timing-dependent plasticity (STDP);

fLanguage

English

Journal_Title

Electron Device Letters, IEEE

Publisher

ieee

ISSN

0741-3106

Type

jour

DOI

10.1109/LED.2010.2049558

Filename

5475263