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An all-optical neuron with sigmoid activation function.

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TLDR
An all-optical neuron is presented that utilizes a logistic sigmoid activation function, using a Wavelength-Division Multiplexing (WDM) input & weighting scheme, showing excellent agreement between theory and experiment and an almost perfect fitting with a logismoid function.
Abstract
We present an all-optical neuron that utilizes a logistic sigmoid activation function, using a Wavelength-Division Multiplexing (WDM) input & weighting scheme. The activation function is realized by means of a deeply-saturated differentially-biased Semiconductor Optical Amplifier-Mach-Zehnder Interferometer (SOA-MZI) followed by a SOA-Cross-Gain-Modulation (XGM) gate. Its transfer function is both experimentally and theoretically analyzed, showing excellent agreement between theory and experiment and an almost perfect fitting with a logistic sigmoid function. The optical sigmoid transfer function is then exploited in the experimental demonstration of a photonic neuron, demonstrating successful thresholding over a 100psec-long pulse sequence with 4 different weighted-and-summed power levels.

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Journal ArticleDOI

Photonics for artificial intelligence and neuromorphic computing

TL;DR: In this paper, the authors review recent advances in integrated photonic neuromorphic systems, discuss current and future challenges, and outline the advances in science and technology needed to meet those challenges.
Journal ArticleDOI

Photonics for artificial intelligence and neuromorphic computing

TL;DR: Recent advances in integrated photonic neuromorphic neuromorphic systems are reviewed, current and future challenges are discussed, and the advances in science and technology needed to meet those challenges are outlined.
Journal ArticleDOI

An optical neural chip for implementing complex-valued neural network.

TL;DR: In this paper, an optical neural chip (ONC) that implements truly complex-valued neural networks is presented, and the performance of the ONC is evaluated for simple Boolean tasks, species classification of an Iris dataset, classifying nonlinear datasets (Circle and Spiral), and handwriting recognition.
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Photonic matrix multiplication lights up photonic accelerator and beyond

TL;DR: In this article , a review of photonic matrix multiplication methods is presented, mainly including the plane light conversion method, Mach-Zehnder interferometer method and wavelength division multiplexing method.
Journal ArticleDOI

Reconfigurable all-optical nonlinear activation functions for neuromorphic photonics.

TL;DR: The device is programmable to generate various nonlinear activation functions, including sigmoid, radial-basis, clamped rectified linear unit, and softplus, with tunable thresholds, and can be flexibly programmed to optimize the performance of different neuromorphic tasks.
References
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Journal ArticleDOI

Long short-term memory

TL;DR: A novel, efficient, gradient based method called long short-term memory (LSTM) is introduced, which can learn to bridge minimal time lags in excess of 1000 discrete-time steps by enforcing constant error flow through constant error carousels within special units.
Journal ArticleDOI

Ror2 signaling regulates Golgi structure and transport through IFT20 for tumor invasiveness

TL;DR: It is found that intraflagellar transport 20 mediates the ability of Ror2 signaling to induce the invasiveness of tumors that lack primary cilia, and IFT20 regulates the nucleation of Golgi-derived microtubules by affecting the GM130-AKAP450 complex.
Posted Content

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

TL;DR: This work proposes a Parametric Rectified Linear Unit (PReLU) that generalizes the traditional rectified unit and derives a robust initialization method that particularly considers the rectifier nonlinearities.
Journal ArticleDOI

Ultrastructural Characterization of the Lower Motor System in a Mouse Model of Krabbe Disease.

TL;DR: The data further characterize the ultrastructural analysis of the KD mouse model, and support recent theories of a dying-back mechanism for neuronal degeneration, which is independent of demyelination.
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