Zobrazeno 1 - 10
of 768
pro vyhledávání: '"Y. Michael"'
Publikováno v:
American Journal of Men's Health, Vol 16 (2022)
Fathers’ mental health and behaviors influence child development and partner well-being, yet paternal stress and well-being are frequently overlooked; especially in non-Western settings. The aim of this mixed-methods study was to quantitatively ass
Externí odkaz:
https://doaj.org/article/1a3a7e0203034a599a574fddb31e3534
Publikováno v:
Physical Review E 104, 064307 (2021)
Associative memory is a fundamental function in the brain. Here, we generalize the standard associative memory model to include long-range Hebbian interactions at the learning stage, corresponding to a large synaptic integration window. In our model,
Externí odkaz:
http://arxiv.org/abs/2103.14324
Publikováno v:
Physical Review E 104, 064306 (2021)
Conversion of temporal to spatial correlations in the cortex is one of the most intriguing functions in the brain. The learning at synapses triggering the correlation conversion can take place in a wide integration window, whose influence on the corr
Externí odkaz:
http://arxiv.org/abs/2103.14317
Publikováno v:
Physical Review E, 107(6), 064302 (2023)
We investigated the dynamical behaviors of bimodular continuous attractor neural networks, each processing a modality of sensory input and interacting with each other. We found that when bumps coexist in both modules, the position of each bump is shi
Externí odkaz:
http://arxiv.org/abs/1910.07263
We introduce the discrete Green's function to elucidate how resource fluctuations determine flow fluctuations in a network optimizing a global cost function. To enhance the robustness of the network against fluctuations, we develop the schemes of opt
Externí odkaz:
http://arxiv.org/abs/1908.10671
Publikováno v:
2019 J. Phys. A: Math. Theor. 52 414001
Permutation of any two hidden units yields invariant properties in typical deep generative neural networks. This permutation symmetry plays an important role in understanding the computation performance of a broad class of neural networks with two or
Externí odkaz:
http://arxiv.org/abs/1904.13052
We compare the point-wise and segment-wise descriptions of the traffic system. Using real data from the Taiwan highway system with a tremendous volume of segment-wise data, we find that the segment-wise description is much more informative of the evo
Externí odkaz:
http://arxiv.org/abs/1808.01627
Autor:
Y Michael Xu, Y. Michael Xu
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