A5101708353- Neural Networks and Reservoir Computing
- Optical Network Technologies
- Advanced Memory and Neural Computing
- Photonic and Optical Devices
- Neural dynamics and brain function
- Nonlinear Dynamics and Pattern Formation
- Semiconductor Lasers and Optical Devices
- Advancements in Semiconductor Devices and Circuit Design
- Neural Networks and Applications
- Solar-Powered Water Purification Methods
- Chaos control and synchronization
- Semiconductor materials and devices
- Advanced Optical Sensing Technologies
- Polymer composites and self-healing
- Model Reduction and Neural Networks
- Nanowire Synthesis and Applications
- Polydiacetylene-based materials and applications
- Chemical Synthesis and Characterization
- Thermal Radiation and Cooling Technologies
- VLSI and FPGA Design Techniques
- Metal-Organic Frameworks: Synthesis and Applications
- Robot Manipulation and Learning
- Reinforcement Learning in Robotics
- Muscle activation and electromyography studies
- Synthesis and Properties of Aromatic Compounds
Xidian University
2016-2025
China University of Geosciences (Beijing)
2020
University of Electronic Science and Technology of China
2019
National Engineering Research Center of Electromagnetic Radiation Control Materials
2019
Shanghai Jiao Tong University
2012-2013
Google (United States)
2012
Southeast University
2009
We propose a photonic spiking neural network (SNN) consisting of neurons based on vertical-cavity surface-emitting lasers (VCSELs). The spike timing dependent plasticity (STDP) is implemented in semiconductor optical amplifier (VCSOA). A versatile computational model the SNN presented rate equation models. Through numerical simulation, pattern learning and recognition task performed STDP. results show that post-synaptic (PST) eventually converged iteratively to first input via unsupervised...
We propose computing primitive for an all-optical spiking neural network (SNN) based on vertical-cavity surface-emitting lasers (VCSELs) supervised learning by using biologically plausible mechanisms. The spike-timing-dependent plasticity (STDP) model was established the dynamics of semiconductor optical amplifier (VCSOA) subject to dual-optical pulse injection. neuron-synapse self-consistent unified SNN developed, which enables reproducing essential neuron-like and STDP function. Optical...
Abstract The explosive growth of data and information has motivated various emerging non-von Neumann computational approaches in the More-than-Moore era. Photonics neuromorphic computing attracted lots attention due to fascinating advantages such as high speed, wide bandwidth, massive parallelism. Here, we offer a review on optical neural our research groups at device system levels. photonics neuron synapse plasticity are presented. In addition, introduce several architectures algorithms...
Photonic neuromorphic computing has emerged as a promising approach to building low-latency and energy-efficient non-von Neuman system. A photonic spiking neural network (PSNN) exploits brain-like spatiotemporal processing realize high-performance computing. However, the nonlinear computation of PSNN remains significant challenge. Here, we propose fabricate neuron chip based on an integrated Fabry–Perot laser with saturable absorber (FP-SA). The neuron-like dynamics including temporal...
We proposed and experimentally demonstrated a simple novel photonic spiking neuron based on distributed feedback (DFB) laser chip with an intracavity saturable absorber (SA). The DFB SA (DFB-SA) contains gain region region. is designed fabricated by the asymmetric equivalent π -phase shift reconstruction-equivalent-chirp technique. Under properly injected current in reversely biased voltage region, periodic self-pulsation was observed due to Q -switching effect. frequency increases increase...
We propose to generate excitatory and inhibitory neuron-like dynamics in vertical-cavity surface-emitting lasers (VCSELs) by applying simultaneously the orthogonally-polarized CW optical injection (OPCWOI) parallelly-polarized pulse stimulus. Based on spin flip model, accompanying with reverse polarization switching is numerically investigated. It found that, due locking effect or beating between two injected fields, phasic tonic spiking can be obtained originally dominated mode. Moreover,...
The properties of chaos time delay signature (TDS) in a ring network consisting three mutually coupled semiconductor lasers (MCSLs) are investigated numerically, where heterogeneous coupling delays proposed to obtain the TDS concealment from intensity wide parameter regions. evolution patterns, which quantified via autocorrelation function, for with identical as well that is compared. By analyzing effects strength, frequency detuning, and injection current on TDS, regions successful...
We propose and experimentally demonstrate the generation of dual-channels chaos with time delay signature (TDS) concealment by introducing a phase-modulated Sagnac loop in mutually coupled semiconductor lasers (MCSL). Furthermore, we utilization to solve multi-armed bandit (MAB) problem reinforcement learning. The experimental results agree well numerical simulations. For purpose comparison, MCSL conventional is also considered. It found that TDS chaotic signals can be better concealed our...
Chaos, occurring in a deterministic system, has permeated various fields such as mathematics, physics, and life science. Consequently, the prediction of chaotic time series received widespread attention made significant progress. However, many problems, high computational complexity difficulty hardware implementation, could not be solved by existing schemes. To overcome we employ system vertical-cavity surface-emitting laser (VCSEL) mutual coupling network to generate through optical...
Photonic reservoir computing (RC) is a simple and efficient neuromorphic framework for human cortical circuits, which featured with fast training speed low cost. time delay RC, as hardware implementation method of has attracted widespread attention. In this paper, we present experimentally demonstrate RC system based on Fabry Perot (FP) laser multiple tasks processing. Here, the various are attempted to perform in parallel longitudinal modes FP laser. It found that can successfully handle...
In the field of information processing, traditional computing methods encounter limitations in handling increasingly complex tasks and meeting growing performance requirements. Reservoir computing, as a new paradigm, has demonstrated excellent time series prediction tasks. However, photonic reservoir still needs improvement certain aspects, such high computational complexity relatively high-power consumption for processing. our work, spiking system based on single distributed feedback laser...
We propose to realize photonic spike timing dependent plasticity (STDP) by using a vertical-cavity semiconductor optical amplifier (VCSOA) subject dual pulse injections. The computational model of the STDP is presented for first time based on well-known Fabry-Pérot approach. Through numerical simulations, dependences bias current VCSOA and input powers are analyzed carefully. Besides, effect initial wavelength detuning also explored. It found that, scheme requires much lower power obtain...
We propose a framework for hardware architecture and learning algorithm co-design of multi-layer photonic spiking neural network (SNN). The vertical-cavity surface-emitting laser with an embedded saturable absorber (VCSEL-SA) which contains two polarization-resolved modes is employed as neuron. connection between identical polarization considered the excitatory synapse, whereas orthogonal regarded inhibitory synapse. physical model neuron derived based on combination spin-flip Yamada model....
An all-optical spike inhibition scheme based on polarization-mode competition (PMC) in a vertical-cavity surface-emitting laser (VCSEL) with an embedded saturable absorber is proposed and investigated numerically. The inhibitory dynamics characterized by amplitude first-spike latency (FSL) for the first time, to best of our knowledge. effects time differences between excitatory inputs, inputs strengths, bias current, as well noise FSL are examined. results show that can be triggered...
We experimentally and numerically demonstrate an approach to optically reproduce a pyramidal neuron-like dynamics dominated by dendritic <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="m1"> <mml:mrow> <mml:msup> <mml:mi>Ca</mml:mi> </mml:mrow> <mml:mn>2</mml:mn> <mml:mo>+</mml:mo> </mml:msup> </mml:math> action potentials (dCaAPs) based on vertical-cavity surface-emitting laser (VCSEL) for the first time. The biological neural dCaAPs indicates that electrode...
Spiking neural network (SNN) have attracted lots of attention due to its event-driven nature and powerful computation capability. However, it is still limited simple task the training difficulty. In this work, we propose a hybrid architecture photonic convolutional spiking (PCSNN) realize speech recognition task. PCSNN, feature extraction realized by convolution SNN with unsupervised learning algorithm, classification modified time-based supervised algorithm. The TIDIGITS dataset used test...
Pavlovian associative learning, a form of classical conditioning, has significantly impacted the development psychology and neuroscience. However, realization prototypical photonic neural network (PNN) for full-function Pavlov encompassing both synapses neurons, not been achieved to date. In this study, we propose experimentally demonstrate first InP-based learning PNN. The PNN utilizes semiconductor optical amplifiers (SOAs) as distributed feedback laser with saturable absorber (DFB-SA)...
Hardware implementation of reservoir computing (RC), which could reduce the power consumption machine learning and significantly enhance data processing speed, holds potential to develop next generation hardware devices chips. Due existing solution only implementing layers, information speed photonics RC system are limited. In this paper, a photonic VMM-RC based on single Vertical Cavity Surface Emitting Laser (VCSEL) with two Mach Zehnder modulators (MZMs) has been proposed. Unlike previous...
A sodiothermic reduction method has been developed for the preparation of porous silicon using aluminosilicate zeolite NaY as a precursor. The with specific surface area approximately 570 m2 g−1 shows distinct capacitive behavior when used an electrode material supercapacitors.
The spike encoding properties of two polarization-resolved modes in vertical-cavity surface-emitting laser with an embedded saturable absorber (VCSEL-SA) are investigated numerically, based on the spin-flip model combined Yamada model. results show that external input optical pulse (EIOP) can be encoded into spikes X-polarization (XP) mode, Y-polarization (YP) or both XP and YP modes. Furthermore, numerical bifurcation diagrams a lower (higher) strength EIOP is beneficial for generating...
The winner-take-all (WTA) mechanism based on the inhibitory dynamics of vertical-cavity surface-emitting laser with an embedded saturable absorber (VCSEL-SA) neurons is proposed for first time. WTA shown numerically in a photonic spiking neural network (SNN). effect bias current time window analyzed SNN. Moreover, pattern recognition approach presented all-optical consisting VCSEL-SA neurons. For recognition, robustness noisy inputs examined. effects current, strength inhibition and weight...