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All-Optical Spiking Neuron Based On Passive Micro-Resonator [article]

Jinlong Xiang, Xuhan Guo, Yikai Su
2019 arXiv   pre-print
way to realize all-optical spiking neural networks.  ...  We demonstrate the microresonator-based neuron can exhibit the three most important characteristics of spiking neurons: excitability threshold, refractory period and cascadability behavior, paving the  ...  Although the PCM-based spiking neuron itself is (e) The brain-inspired optical chip. passive, extended lasers are needed to generate the output pulses and the output signals are amplified off-chip to form  ... 
arXiv:1911.02238v1 fatcat:gcrwhl3eirbzdeihu2xzgtqdaa

Integrated Neuromorphic Photonics: Synapses, Neurons, and Neural Networks

Xuhan Guo, Jinlong Xiang, Yujia Zhang, Yikai Su
2021 Advanced Photonics Research  
Photonic neuromorphic networks combine the efficiency of neural networks based on a non-von Neumann architecture and the benefits of photonics to constitute a new computing paradigm.  ...  [54] Neuromorphic photonics based on passive silicon has now become a research hotspot with a goal of the photonic neurons integrated on a single chip to form "brain-like" PNNs.  ...  (a,b) Figure 14 . 14 a) Schematic of a spiking neuron based on a passive microresonator.  ... 
doi:10.1002/adpr.202000212 fatcat:gdnqg5hzjbaoxonmikfm3qrska

An All-MRR-Based Photonic Spiking Neural Network for Spike Sequence Learning

Yanan Han, Shuiying Xiang, Yuna Zhang, Shuang Gao, Aijun Wen, Yue Hao
2022 Photonics  
The photonic spiking neuron based on the add-drop MRR is proposed, and a system-level computational model of all-MRR-based photonic SNN is presented.  ...  Here, we present an architecture of photonic SNN which consists of photonic neuron, photonic spike timing dependent plasticity (STDP) and weight configuration that are all based on silicon micro-ring resonators  ...  In addition, there are also novel photonic spiking neuron models based on passive silicon platforms, such as PCMs embedded on micro-ring [33, 46] and microcavity neurons [47] [48] [49] .  ... 
doi:10.3390/photonics9020120 fatcat:gpuzmcyonzcltnc7er2jwvmygu

Table of Contents

2022 Journal of Lightwave Technology  
Xin 2880 Low Complexity Neural Network Equalization Based on Multi-Symbol Output Technique for 200+ Gbps IM/DD Short Yu 2890 Photonic Spiking Neural Networks and Graphene-on-Silicon Spiking Neurons (Invited  ...  Cai 3062 Improved Generalization in Signal Identification With Unsupervised Spiking Neuron Networks for Fiber-Optic Distributed Acoustic Sensor . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/jlt.2022.3169086 fatcat:hluj6e4545e2zjzajcfow7yqzy

A Survey on Silicon Photonics for Deep Learning [article]

Febin P Sunny, Ebadollah Taheri, Mahdi Nikdast, Sudeep Pasricha
2021 arXiv   pre-print
Silicon photonics has emerged as a promising CMOS-compatible alternative to realize a new generation of deep learning accelerators that can use light for both communication and computation.  ...  limitations of the silicon photonics paradigm in the context of deep learning acceleration.  ...  In spiking neurons, an activation function defines the spiking time of the neuron based on the aggregated input spikes.  ... 
arXiv:2101.01751v2 fatcat:jorj4q6tjjewxfkbbovnxvpdyi

Perspective on photonic memristive neuromorphic computing

Elena Goi, Qiming Zhang, Xi Chen, Haitao Luan, Min Gu
2020 PhotoniX  
We discuss the need and the possibility to conceive a photonic memristor and we offer a positive outlook on the challenges and opportunities for the ambitious goal of realising the next generation of full-optical  ...  Neuromorphic computing applies concepts extracted from neuroscience to develop devices shaped like neural systems and achieve brain-like capacity and efficiency.  ...  Availability of data and materials The data that support the findings of this study are available on request from the corresponding author, Min Gu.  ... 
doi:10.1186/s43074-020-0001-6 fatcat:qvhwulx7ova4lnijjhtwnpunqe

Energy-Efficient Neural Network Inference with Microcavity Exciton Polaritons

M. Matuszewski, A. Opala, R. Mirek, M. Furman, M. Król, K. Tyszka, T.C.H. Liew, D. Ballarini, D. Sanvitto, J. Szczytko, B. Piętka
2021 Physical Review Applied  
We propose two kinds of nonlinear binarized nodes based either on optical phase shifts and interferometry or on polariton spin rotations.  ...  We argue that the use of microcavity exciton-polaritons allows to take advantage of the properties of both photons and electrons in a seamless manner.  ...  Fully functional photonic neurons including nonlinear activation functions were demonstrated [11] [12] [13] [14] , including spiking neurons [15, 16] , as well as neural networks [17] [18] [19] [20]  ... 
doi:10.1103/physrevapplied.16.024045 fatcat:oy5mce4ozja6rgrrbkd6wgu2wa

Nanotools for Neuroscience and Brain Activity Mapping

A. Paul Alivisatos, Anne M. Andrews, Edward S. Boyden, Miyoung Chun, George M. Church, Karl Deisseroth, John P. Donoghue, Scott E. Fraser, Jennifer Lippincott-Schwartz, Loren L. Looger, Sotiris Masmanidis, Paul L. McEuen (+15 others)
2013 ACS Nano  
Traditional neurophysiological approaches record the activities of one neuron or a few neurons at a time. Neurochemical approaches focus on single neurotransmitters.  ...  Yet, there is an increasing realization that neural circuits operate at emergent levels, where the interactions between hundreds or thousands of neurons, utilizing multiple chemical transmitters, generate  ...  optical needles based on microlenses.  ... 
doi:10.1021/nn4012847 pmid:23514423 pmcid:PMC3665747 fatcat:bi32uqa7jrhitpylyyplh47voy

Recent progress in semiconductor excitable lasers for photonic spike processing

Paul R. Prucnal, Bhavin J. Shastri, Thomas Ferreira de Lima, Mitchell A. Nahmias, Alexander N. Tait
2016 Advances in Optics and Photonics  
In this paper, we review the recent research in the information processing abilities of such lasers, dubbed "photonic neurons," "laser neurons," or "optical neurons."  ...  Lasers operating in the excitable regime are dynamically analogous with the spiking dynamics observed in neuron biophysics but roughly 8 orders of magnitude faster.  ...  Many of these proposals for "photonic neurons," "laser neurons," or "optical neurons" for spike processing are based on lasers operating in an excitable regime.  ... 
doi:10.1364/aop.8.000228 fatcat:std6wkhlxfavhh3fsocreand54

2019 Index IEEE Journal of Selected Topics in Quantum Electronics Vol. 25

2019 IEEE Journal of Selected Topics in Quantum Electronics  
., +, JSTQE Jan.Electrically Controlled Neuron-Like Spiking Regimes in Vertical-Cavity Surface-Emitting Lasers at Ultrafast Rates. Robertson, J., +, JSTQE Nov.  ...  -Feb. 2019 6900108 Electrically Controlled Neuron-Like Spiking Regimes in Vertical-Cavity Surface-Emitting Lasers at Ultrafast Rates. Robertson, J., +, JSTQE Nov.  ... 
doi:10.1109/jstqe.2020.2967446 fatcat:sp44psbiojc47ihjf2gh45zvoa

Porous silicon for drug delivery applications and theranostics: recent advances, critical review and perspectives

Tushar Kumeria, Steven J. P. McInnes, Shaheer Maher, Abel Santos
2017 Expert Opinion on Drug Delivery  
This review presents an updated overview about the recent therapeutic systems based on pSi, with a critical analysis on the problems and opportunities that this technology faces as well as highlighting  ...  of pSi-based systems presented here.  ...  Types of sensing systems based on porous silicon Optical biosensing with pSi is the most common format of pSi biosensors [134] .  ... 
doi:10.1080/17425247.2017.1317245 pmid:28398108 fatcat:g276q3f2dffppfvzhhbzswshaa

On-Chip Detection of the Biomarkers for Neurodegenerative Diseases: Technologies and Prospects

Chao Song, Suya Que, Lucas Heimer, Long Que
2020 Micromachines  
In this review, chip-based detection of neuro-DDs' biomarkers enabled by different transducing mechanisms is evaluated.  ...  disease (AD), Parkinson's disease (PD) and glaucoma are all regarded as neurodegenerative diseases (neuro-DDs) because these diseases are highly related to the degeneration loss of functions and death of neurons  ...  T-tau, like Aβ42, is considered toxic to neurons.  ... 
doi:10.3390/mi11070629 pmid:32605280 fatcat:mdwcdgcpife4zkd3md34v45wz4

Micro- and nanotechnology approaches for capturing circulating tumor cells

Balaji Panchapakesan, Robert Caprara, Vanessa Velasco, James Loomis, Ben King, Peng Xu, Tom Burkhead, Palaniappan Sethu, L. Jay Stallons, W. Glenn McGregor, Shesh N. Rai, Goetz Kloecker (+1 others)
2010 Cancer Nanotechnology  
This paper reviews some of the recent researches on using micro-and nanotechnology to capture and profile CTC.  ...  Microscale and nanoscale studies can throw some light on the time course of CTC appearance in blood and CTC over-expression profiles for cancer-related markers and galvanize the development of drugs to  ...  Again, nanotechnology-based electronic, optical, and magnetic detectors could be used to develop handheld molecular profilers that could stratify patients in minutes based on their immunohistological signatures  ... 
doi:10.1007/s12645-010-0007-z pmid:26069475 pmcid:PMC4452034 fatcat:piuswvosajdkdjilwbntjpvihe

Prospects for Neuroprosthetics: Flexible Microelectrode Arrays with Polymer Conductors [chapter]

Axel Blau
2011 Applied Biomedical Engineering  
If spike electrodes shall be generated instead (route s), the scaffold is transferred onto a carrier with cone-like indentations (red), which can be generated by e.g., anisotropic etching of Si (Jansen  ...  of optogenetically engineered neurons through channel-embedded waveguides or fiber optics.  ...  Commons Attribution-NonCommercial-ShareAlike-3.0 License, which permits use, distribution and reproduction for non-commercial purposes, provided the original is properly cited and derivative works building on  ... 
doi:10.5772/23186 fatcat:fpfszq4o25hw3gkat5ecfkumnu

Artificial Intelligence and Advanced Materials [article]

Cefe López
2022 arXiv   pre-print
Machine learning and its methods are reviewed to provide basic knowledge on its implementation and its potential.  ...  The impact these techniques are having on the inception of new advanced materials is so deep that a new paradigm is developing where implicit knowledge is being mined to conceive materi-als and systems  ...  A third generation of networks, spiking ANNs (SNNs), [113] are comprised of neurons that operate on an integrate-and-fire process using information encoded as pulses.  ... 
arXiv:2209.11618v2 fatcat:2tsodaoyjjb3jhuewnauvamjfy
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