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Configurable Neural Phase Shifter With Spike-Timing-Dependent Plasticity

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3 Author(s)
Lei Zhang ; Mech. & Aerosp. Eng. Dept., Univ. of California at Los Angeles, Los Angeles, CA, USA ; Qianxi Lai ; Yong Chen

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.

Published in:

Electron Device Letters, IEEE  (Volume:31 ,  Issue: 7 )

Date of Publication:

July 2010

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