Experience, authorship, judicious silence: Alonso de Espina's Fortalitium fidei by Lappin, AJ, Vidal Doval, R

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

“…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. …”

Biomechanical investigation of traction forces on the cervical (neck/head region) spine by Ang, Lian Ann

“…It is believed that the relief of pain by traction is due to straightening of the cervical spine and a widening of the intervertebral articulating space to relieve compressive or irritative forces on the nervous structures…”
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Stronger dielectric-elastomer grippers using spine-like bending structure by Heng, Kim Rui

“…The gripper is developed based on a new design of DEA using stiffer spine-like structure made of 380μm thick Polyvinyl chloride (PVC) sheet. …”
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Self-reported pain and osteoarthritis of the hip and spine in retired elite rowers by Baynham-Williams, M

“…<p><b>Background and Aim:</b> Pain in the hip and spine presents a large burden to athletes competing in rowing. …”

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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3D spine shape estimation from single 2D DXA by Bourigault, E, Jamaludin, A, Zisserman, A

“…Using these two orthogonal projections of the spine (coronal in DXA, and sagittal from the prediction), we are able to describe the 3D shape of the spine. …”

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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Ethnoichthyology of the First Record of Spine Bahaba (Bahaba polykladiskos) from Muar, Johor, Malaysia by Ilham-Norhakim, Mohd Lokman, Mohd Faudzir, Najmuddin, Hidayah, Haris, Othman, Nursyuhada, Ramli, Ramli, Sariyati Nur Hartini, Sariyati Nur Hartini, Rasul Abdullah, Halim Muhammad, Abdullah-Fauzi, Abdullah-Fauzi, Akmal, Fawwazah, Abdul-Latiff, Muhammad Abu Bakar

“…The Spine Bahaba (Bahaba polykladiskos), locally known as 'Gelama Tirusan,' is a member of the Sciaenidae fish family that is distributed across Southeast Asia, reaching as far as North Australia. …”
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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. …”

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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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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