Functional near-infrared spectroscopy (fNIRS) measures brain activity optically based on changes in cortical blood flow.
Cryogenic electron tomography (cryo-ET) is a powerful method for imaging inside cells, but it is challenging and typically limited to a few cells per study. We consolidate and quantify data from ...
fDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, USA gDepartment of Radiation Oncology, University of Michigan Hospital, Ann Arbor, MI, USA hInstitute of Neuroscience and ...
OpenSimplex noise is an n-dimensional gradient noise function that was developed in order to overcome the patent-related issues surrounding Simplex noise, while continuing to also avoid the ...
Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, 925 Bloom Walk, Los Angeles, California90089-1211, United States Department of Chemistry, ...
With the development of network science and graph theory, brain network research has unique advantages in explaining those mental diseases, the neural mechanism of which is unclear. Additionally, it ...
Wrap the computation into class FZZ::FastZigzag for easy invoking from C++ codes Filtration does not need to end with empty complex This implemented algorithm converts the input simplex-wise zigzag ...
Abstract: In this article, we propose a minimum simplex convolutional network (MiSiCNet) for deep hyperspectral unmixing. Unlike all the deep learning-based unmixing methods proposed in the literature ...
The Data Science Lab Spiral Dynamics Optimization with Python Dr. James McCaffrey of Microsoft Research explains how to implement a geometry-inspired optimization technique called spiral dynamics ...