Researchers have discovered that the retina uses an unexpected communication network that lets separate visual pathways cooperate instead of working alone. A newly identified "commander" cell appears ...

Spectral Compute was founded in 2018 by four engineers with about 60 years of combined HPC optimization experience. The ...

Accurate and interpretable bearing fault diagnosis remains challenging because fault-related spectral signatures are often weak, distributed across multiple frequency bands, and easily affected by ...

Abstract: Spectral unmixing is an important task in hyperspectral image processing for separating the mixed spectral data pertaining to various materials observed aiming at analyzing the material ...

Hyperspectral imaging empowers machine vision systems with the distinct capability of identifying materials through recording their spectral signatures. Recent efforts in data-driven spectral ...

This study elucidates large-scale neural circuit dynamics underlying opioid-induced effects using functional ultrasound imaging (fUSI) in awake, behaving male mice. By mapping functional connectivity ...

Operator learning is a transformative approach in scientific computing. It focuses on developing models that map functions to other functions, an essential aspect of solving partial differential ...

Non-invasive brain-computer interfaces (BCI) hold great promise in the field of neurorehabilitation. They are easy to use and do not require surgery, particularly in the area of motor imagery ...

We introduce an open-source Python package for the analysis of large-scale electrophysiological data, named SyNCoPy, which stands for Systems Neuroscience Computing in Python. The package includes ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In chemistry, analyzing spectra through peak fitting is a crucial task that helps ...