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models algorithm » modeling algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
making algorithm » learning algorithm (Expand Search), finding algorithm (Expand Search), means algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
element making » element mapping (Expand Search), elemental mapping (Expand Search), element modeling (Expand Search)
based models » based model (Expand Search)
models algorithm » modeling algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
making algorithm » learning algorithm (Expand Search), finding algorithm (Expand Search), means algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
element making » element mapping (Expand Search), elemental mapping (Expand Search), element modeling (Expand Search)
based models » based model (Expand Search)
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Data and code resources.
Published 2025“…Neither model-free perseveration or model-based control using a complete model of the environment could explain choice behavior. …”
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The folder containing the code is provided as supportive documentation associated with this paper.
Published 2025Subjects: -
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IRS-assisted system model.
Published 2025“…In contrast, the SBF algorithm adjusts the IRS elements using single-bit feedback. …”
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Comparison of power consumption in optical and silicon-based neural network implementations.
Published 2024Subjects: -
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Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks
Published 2025“…<p dir="ltr">The data in this repository accompanies the paper 'Efficient Event-based Delay Learning in Spiking Neural Networks'</p><p dir="ltr">The data relates to 4 benchmarks:</p><ol><li>Spiking Heidelberg Digits (SHD).…”
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Computation time as a function of the sample size on the chain graph dataset.
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Computation time as a function of the sample size on the random graph dataset.
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F1 score of edges selected through cross-validation on the chain graph dataset.
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Examples of ground-truth graph structures with (<i>p</i>, <i>n</i><sub>≠0</sub>) = (10, 10).
Published 2024Subjects: -
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Number of edges selected through cross-validation on the chain graph dataset.
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Number of edges selected through cross-validation on the random graph dataset.
Published 2024Subjects: