Reactivating and reorganizing activity-silent working memory: two distinct mechanisms underlying pinging the brain by Yang, C, He, X, Cai, Y

“…Recent studies have proposed that visual information in working memory (WM) can be maintained in an activity-silent state and reactivated by task-irrelevant high-contrast visual impulses (“ping”). Although pinging the brain has become a popular tool for exploring activity-silent WM, its underlying mechanisms remain unclear. …”

Martin Wong & other people by Adler, S

“…Martin Wong & Other People follows the artist Martin Wong through his time in, and depictions of, four distinct social worlds: the California counterculture during the 1960s and early ‘70s, the provincial city of Eureka during the latter 1970s, New York City during the 1980s, and a historical rendering of San Francisco’s Chinatown largely undertaken in the 1990s. …”

王里剧作与演出研究 = A study of Wang Li ‘s plays and performances by 谢秀彬 Seah, Siew Ping

“…本论文将通过整理出王里的生平与剧作演出来探讨他的剧作在该时代的意义及其演出的特点，同时沿着这个时代脉络分析王里的剧本， 理解他的剧本如何与该时代的政治和社会环境呼应。Wang Li was a local playwright active in the theatre scene during the sixties and seventies. …”
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Surge in SpikeProp algorithm by Zhang, Zhengyang

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An endergonic synthesis of single Sondheimer–Wong diyne by local probe chemistry by Kawai, Shigeki, Sang, Hongqian, Kantorovich, Lev, Takahashi, Keisuke, Nozaki, Kyoko, Ito, Shingo

“…Now, an endergonic reaction to synthesize a single Sondheimer–Wong diyne from 6,13-dibromopentaleno[1,2-b:4,5-b’]dinaphthalene by local probe chemistry on a ultra-thin film of NaCl formed on a Cu(111) surface at 4.3 K is presented. …”
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Wang simpanan KWSP suatu analisa menurut perspektif perundangan Islam by Mohamed Naim, Asmadi, Ahmad, Muhammad

“…Justeru itu, kajian ini menjawab beberapa persoalan iaitu perincian terhadap kedudukan wang KWSP menurut beberapa sudut. Iaitu ia menjurus kepada menentukan kesahihan meletakkan syarat supaya gaji dipotong untuk pencaruman dan menentukan sama ada wang KWSP caruman pekerja wajib dibayar zakat atau sebaliknya. …”
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A spiking neural network for pattern recognition by Nurin Atikah Bohari

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Robustness to training disturbances in SpikeProp Learning by Shrestha, Sumit Bam, Song, Qing

“…Stability is a key issue during spiking neural network training using SpikeProp. The inherent nonlinearity of Spiking Neuron means that the learning manifold changes abruptly; therefore, we need to carefully choose the learning steps at every instance. …”
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Impact of spike anneal on ultra shallow junction formation by Lai, Chung Woh

“…This report explains the need for ultra shallow junctions for modern day CMOS devices, how spike anneal can help achieve this, reviews the important parameters if this process and how these parameters affect the performances of the CMOS transistors.…”
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Automated spike detection using cascade of simple classifiers by Guo, Jingyao

“…The infinite variety of spike morphologies and the similarity of spikes to normal EEG and artifacts also make the detection of spikes difficult. …”
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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. …”

Articulation and expressive interpretation in Wang Jianzhong’s transcription ‘a hundred birds pay homage to the phoenix’ by Zhang, Xiao Pei, Loo, Fung Chiat, Ang, Mei Foong, Yeoh, Pei Sze

“…Aim: Thus, this article examines the use of articulation and how it affects the expressivity in Wang Jianzhong’s piano transcription, ‘A Hundred Birds Pay Homage to the Phoenix’. …”
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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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论王畿的 “三教合一” 观 = Wang Ji's thought and "Unity of the Three Teachings" by 陈碧琪 Tan, BiQi

“…Similar to Wang Yangming, Wang Ji’s position is based on Confucianism, where he sees Confucianism as having fully grasped the nature of the heart-mind. …”
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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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