Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > OFC > 2015 > W1K > W1K.6

Photonic Implementation of a Neuronal Learning Algorithm based on Spike Timing Dependent Plasticity

Ryan Toole and Mable P. Fok

Not Accessible

Your library or personal account may give you access

Abstract

A photonic system exemplifying the biological neural process of spike timing dependent plasticity (STDP) is experimentally demonstrated using nonlinear polarization rotation. STDP represents the neuronal responses for learning based on input/output timing, order, and sequence.

© 2015 Optical Society of America

PDF Article
More Like This
Implementation of optical multiplicative spike-timing-dependent plasticity with adaptive current feedback of semiconductor optical amplifiers

Yaolin Zhang, Quansheng Ren, and Jianye Zhao
JW2A.80 CLEO: Applications and Technology (CLEO:A&T) 2015

Micro-Ring-Resonator Based Passive Photonic Spike-Time-Dependent-Plasticity Scheme for Unsupervised Learning in Optical Neural Networks

Charis Mesaritakis, Menelaos Skontranis, George Sarantoglou, and Adonis Bogris
T4C.2 Optical Fiber Communication Conference (OFC) 2020

Neuron-like spiking derived from silicon-based photonic crystal microcavity

Yang Deng, Jaime G. Flor Flores, Zehao Wang, Huan yuan, Jinping Zhang, Jiagui Wu, and Chee Wei Wong
STu1G.2 CLEO: Science and Innovations (CLEO:S&I) 2021

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use