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Showing 61 - 80 results of 5,944 for search '(((sspine OR (spine OR spike)) OR find) OR (((snina OR pina) OR ping) OR (pin OR spin)))', query time: 0.22s Refine Results
  1. 61

    Spin-polarized antichiral exciton-polariton edge states by Bao, Ruiqi, Mandal, Subhaskar, Xu, Huawen, Xu, Xingran, Banerjee, Rimi, Liew, Timothy Chi Hin

    Published 2023
    “…The edge modes localized at the opposite edges have opposite spins (circular polarizations), which leads to co-propagating "+-" spin channels. …”
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    Journal Article
  2. 62
  3. 63

    Quenching the Haldane gap in spin-1 Heisenberg antiferromagnets by Wierschem, Keola, Sengupta, Pinaki

    Published 2014
    “…We consider a quasi-one-dimensional system of spin-1 Heisenberg antiferromagnetic chains in two-dimensional and three-dimensional hypercubic lattices with interchain coupling J and uniaxial single-ion anisotropy D. …”
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    Journal Article
  4. 64

    Spin-ice physics and phase transitions in cadmium cyanide by Coates, CS

    Published 2019
    “…<p>There is increasing interest in the role of materials with correlated structural disorder in mimicking the exotic properties exploited in electronic condensed matter phases. Spin ices, for example, are important class of frustrated magnets in which the spin configuration obeys the `two-in two-out' ice rules that govern proton order in water-ice. …”
    Thesis
  5. 65
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  7. 67

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

    Published 2014
    “…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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    Conference Paper
  8. 68

    Morphological learning in spiking neurons: a new hardware efficient maching learning method by Jahagirdar, Kavya

    Published 2014
    “…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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    Final Year Project (FYP)
  9. 69
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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

    Published 2017
    “…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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    Monograph
  11. 71
  12. 72

    Direction finding for UWB RFID system in dense cluttered environments by Luo, Yanjia

    Published 2014
    “…Source direction finding with an antenna array is a major topic in radar-related applications. …”
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    Thesis
  13. 73
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  15. 75

    The computational complexity of finding stationary points in non-convex optimization by Hollender, A, Zampetakis, M

    Published 2024
    “…<p>Finding approximate stationary points, i.e., points where the gradient is approximately zero, of non-convex but smooth objective functions f over unrestricted d-dimensional domains is one of the most fundamental problems in classical non-convex optimization. …”
    Journal article
  16. 76

    Strike a pose: tracking people by finding stylized poses by Ramanan, D, Forsyth, DA, Zisserman, A

    Published 2005
    “…We develop an algorithm for finding and kinematically tracking multiple people in long sequences. …”
    Conference item
  17. 77

    Synaptic element for neuromorphic computing using a magnetic domain wall device with synthetic pinning sites by Jin, Tianli, Gan, Weiliang, Tan, Funan, Sernicola, Nicolo Roberto, Lew, Wen Siang, Piramanayagam, S. N.

    Published 2020
    “…The control of the domain wall motion with the synthetic pinning sites is demonstrated to be a reliable technique for neuromorphic applications.…”
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    Journal Article
  18. 78

    The natively disordered loop of Bcl-2 undergoes phosphorylation-dependent conformational change and interacts with Pin1 by Bharatham, Nagakumar, Chia, Joel, Mu, Yuguang, Baek, Kwanghee, Yoon, Ho Sup, Kang, CongBao

    Published 2013
    “…Finally, we show that the phosphorylated peptides of the Bcl-2 loop can bind Pin1, further substantiating the phosphorylation-mediated conformation change of Bcl-2.…”
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    Journal Article
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