Surge in SpikeProp algorithm by Zhang, Zhengyang

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

“…Notably, only the reactivation strength of spatial-matching pings correlated with recall performance and was modulated by the location of memorized items, with neural reactivation occurring only when both items and pings were presented horizontally. …”

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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A spiking neural network for pattern recognition by Nurin Atikah Bohari

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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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When fizzy water levitates by Bourrianne, Philippe, McKinley, Gareth H.

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When I say … privilege by Cleland, Jennifer, Razack, Saleem

“…In the latest instalment of “When I Say…” Cleland and Razack argue it is time for medical education to acknowledge its complicit participation in socially constructed privilege and systemic inequalities and commit to change.…”
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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. …”

On the link upgrade problem for networks by Niu, Zhuo.

“…In this thesis, we study the link upgrade problem and examine some existing heuristic algorithms that have been proposed for this problem, implements and evaluate the performance of these algorithms. …”
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On extracting link information of relationship instances from a web site by Naing, Myo Myo, Lim, Ee Peng, Goh, Dion Hoe-Lian

“…We define the notion of link chain and formulate the link chain extraction problem. …”
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Unit-linked policies in Singapore by Ong, Yee Chen, Poh, Chee Chung

“…It has been in existence in Singapore since 1972 but only proved to be a success in the life industry when the market was on the bull run in 1993 concurrent with the launching of Prudential's first unit-linked product. …”
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Missing links in The China Model by Li, Chenyang

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WHEN WE CEASE TO UNDERSTAND THE WORLD / by Labatut, Benjamin, author 655068

When the dust settles . . . (Double Review) by Sage, Victor

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When the kids come out to play by Loy, Joanne Mei Yee

“…This is the project book for "When The Kids Come Out To Play."…”
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China's peaceful rise : till when? by Amanda, Huan

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

“…The proposed architecture is fully pipelined to maximize the efficiency of the system. Furthermore, the spiking model used in this work is the Izhkevich spiking model [1] which is of much less complexity and yet able to achieve competitive accuracy when compared to the Hodgkin-Huxley spiking model [2]. …”
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