Your browser does not support the audio element. Before proceeding deeper to audio recognition, the reader needs to know the basics of audio handling and signal ...

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 ...

Despite the prominence of orbitals throughout the undergraduate chemistry curriculum, high-quality visualization of atomic orbitals is out of reach for most scientists. Rigorously visualizing the ...

This is the source code for the paper "Codiscovering graphical structure and functional relationships within data: A Gaussian Process framework for connecting the dots". Please see the companion blog ...

Recording technologies for rodents have seen huge advances in the last decade, allowing users to sample thousands of neurons simultaneously from multiple brain regions. This has prompted the need for ...

Pareidolia detects changes in intensities for a specific pattern (e.g. chromatin loops and domain borders) from Hi-C maps. It can be used to compare samples from different conditions and use multiple ...

Despite over 300 y of effort, no solutions exist for predicting when a general planetary configuration will become unstable. We introduce a deep learning architecture to push forward this problem for ...

Automated visual tracking of animals is rapidly becoming an indispensable tool for the study of behavior. It offers a quantitative methodology by which organisms’ sensing and decision-making can be ...

Increasingly, neuroimaging researchers are exploring the use of real-time functional magnetic resonance imaging (rt-fMRI) as a way to access a participant’s ongoing brain function throughout a scan.