Designing a spiking neural network system for object recognition by Thong, Jing Yuan

“…Widely touted as the 3rd generation of neural networks, Spiking Neural Networks were introduced as an enhanced representation of working memory. …”
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Dissipative solitons with extreme spikes in the normal and anomalous dispersion regimes by Akhmediev, N., Soto-Crespo, J. M., Vouzas, Peter, Devine, N., Chang, Wonkeun

“…In this paper, one recent example is considered—dissipative solitons with extreme spikes (DSESs). It was found that DSESs exist in large regions of the parameter space of the complex cubic–quintic Ginzburg–Landau equation. …”
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Bayesian lesion estimation with a structured spike-and-slab prior by Menacher, A, Nichols, T, Holmes, C, Ganjgahi, H

“…Our method also accounts for underestimation of posterior variance due to variational inference by providing an approximate posterior sampling approach based on Bayesian bootstrap ideas and spike-and-slab priors with random shrinkage targets. …”

Somatosensory and clinical profiles of patients with spine-related and clinical framework-based neck–arm pain by Kapitza, C, Ballenberger, N, Luedtke, K, Schmid, AB, Tampin, B

“…<p>Spine-related neck–arm pain is heterogeneous and may present on a spectrum between nociceptive and neuropathic pain. …”

FPGA implementation of spiking convolutional neural networks for voice keyword recognition by Ng, Wei Soon

“…The spiking convolutional neural network (SCNN) is a hybrid model of both the spiking neural network (SNN) and convolutional neural network (CNN). …”
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Flow distribution and mass removal in floating treatment wetlands arranged in series and spanning the channel width by Yamasaki, Taís N, Walker, Christopher, Janzen, Johannes G, Nepf, Heidi

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Effects of lumbar support to reduce discomfort during prolonged riding among motocyclists by Mohd Shafiei, Umi Kalsom

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Bio-inspired categorization using event-driven feature extraction and spike-based learning by Zhao, Bo, Chen, Shoushun, Tang, Huajin

“…Bio-inspired, cortex-like, spikebased features are obtained through event-driven convolution and neural competition. The extracted spike feature patterns are then classified by a network of leaky integrate-and-fire (LIF) spiking neurons, in which the weights are trained using tempotron learning rule. …”
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Morphological learning in spiking neurons: a new hardware efficient maching learning method by Jahagirdar, Kavya

“…The latest developments in the research of spiking neural network models have shown that unlike the classic neural network models, these models communicate via precisely timed neuron spikes, thus making them a closer representation of the biological neurons. …”
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Design of a hybrid neural spike detection algorithm for implantable integrated brain circuits by Zeinolabedin, Seyed Mohammad Ali, Do, Anh Tuan, Yeo, Kiat Seng, Kim, Tony Tae-Hyoung

Subjects: “…Spike…”
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Fish Motion Trajectories Detection Algorithm Based on Spiking Neural Network (S/O: 12893) by Yusoff, Nooraini, Yusof, Yuhanis, Siraj, Fadzilah, Ahmad, Farzana Kabir

“…This study proposes sequence learning for the fish motion trajectory by using the Spike-Time dependent Plasticity (STDP) in the Spiking Neural Networks (SNNs). …”
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Parameter optimization of evolving spiking neural networks using improved firefly algorithm for classification tasks / by Farezdzuan Roslan, 1992-, author 616568, Haza Nuzly Abdull Hamed, supervisor 308916, Fakulti Kejuruteraan. Sekolah Komputeran 619086

Parameter optimization of evolving spiking neural networks using improved firefly algorithm for classification tasks / by Farezdzuan Roslan, 1992-, author 616568

EEG data handling using AWS cloud computing for automatic spike detection in epilepsy patients by Rajput Kalpana Bharatsingh

“…In this work, we explore the feasibility of AWS-cloud based approach for handling large EEG data for automatic spike detection in epilepsy patients. The aim is to design a system which will allow neurologists to upload and download EEG data from any region for analysis purpose; in the future the data will be analysed by machine learning algorithms. …”
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Event-driven spiking neural networks using asynchronous-logic network-on-chip routers in field programmable gate array (FPGA) by Wu, Si

“…Compared with the second-generation neural network, SNN uses spikes to process information. The neuronal units in SNNs are only active when they receive or emit spikes, so it is event-driven, thus making it energy-efficient. …”
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High-density lipoprotein function is modulated by the SARS-CoV-2 spike protein in a lipid-type dependent manner by Correa, Yubexi, Del Giudice, Rita, Waldie, Sarah, Thépaut, Michel, Micciula, Samantha, Gerelli, Yuri, Moulin, Martine, Delaunay, Clara, Fieschi, Franck, Pichler, Harald, Haertlein, Michael, Forsyth, V. Trevor, Le Brun, Anton, Moir, Michael, Russell, Robert A., Darwish, Tamim, Brinck, Jonas, Wodaje, Tigist, Jansen, Martin, Martín, César, Roosen-Runge, Felix, Cárdenas, Marité

“…It is known that the SARS-CoV-2 spike (S) protein binds the HDL particle, probably depleting it of lipids and altering HDL function. …”
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Dok3 restrains neutrophil production of calprotectin during TLR4 sensing of SARS-CoV-2 spike protein by Loh, Jia Tong, Teo, Joey Kay Hui, Lam, Kong-Peng

“…In this study, we showed that Dok3 adaptor restrains calprotectin production by neutrophils in response to SARS-CoV-2 spike (S) protein engagement of TLR4. Dok3 recruits SHP-2 to mediate the de-phosphorylation of MyD88 at Y257, thereby attenuating downstream JAK2-STAT3 signaling and calprotectin production. …”
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新移民的跨国实践和离散论述 ：孙侠(铃铛)个案研究 = Transnational practice and diasporic discourses of new immigrant : a case study on Sun Xia (Ling Dang) by Sun, Guizi

“…Sun Xia is also a poet whom goes by the pen name, Ling Dang. Through her works, she represents a unique diasporic group with multiple identities who identifies with two cultures under the transnational experience. …”
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Efficient multi-scale representation of visual objects using a biologically plausible spike-latency code and winner-take-all inhibition by Sanchez-Garcia, Melani, Chauhan, Tushar, Cottereau, Benoit R., Beyeler, Michael

“…We demonstrate that a network of 200 spiking neurons tuned to three SFs can efficiently represent objects with as little as 15 spikes per neuron. …”
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Zeolitic imidazolate frameworks activate endosomal Toll-like receptors and potentiate immunogenicity of SARS-CoV-2 spike protein trimer by Alsaiari, Shahad K., Nadeef, Seba, Daristotle, John L., Rothwell, William, Du, Bujie, Garcia, Johnny, Zhang, Linzixuan, Sarmadi, Morteza, Forster, Timothy A., Menon, Nandita, Lin, Stacey Qiaohui, Tostanoski, Lisa H., Hachmann, Nicole, Wang, Erika Yan, Ventura, John D., Barouch, Dan H., Langer, Robert, Jaklenec, Ana

“…The intrinsic adjuvant properties of ZIF-8, along with the efficient delivery and biomimetic presentation of a severe acute respiratory syndrome coronavirus 2 spike protein receptor-binding domain trimer, primed rapid humoral and cell-mediated immunity in a dose-sparing manner. …”
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