Structural disorder can be used to tune the properties of functional materials and is an important tool that can be employed for the development of complex framework materials, such as metal-organic ...

CPython's C-API has GIL acquiring/releasing functions such as PyGILState_Ensure and PyGILState_Release. Programmers can call CPython's C-APIs from outside of Python threads if they manage GIL's state ...

The hippocampus is essential for learning and memory. Over the last decades, predictions have been developed for how the CA3 module could execute such processes. However, at the synaptic level, ...

All of these nodes are available as individual npm packages. See the list below for the npm package names, or search npm. This repository acts as an overall store for these nodes - and is not intended ...

With the release of more and more AlphaFold (Jumper et al., 2021) or RoseTTAFold (Baek et al., 2021) predicted structures and experimentally determined structures, it is important to be able to do ...

In this paper, we propose graph attention based network representation (GANR) which utilizes the graph attention architecture and takes graph structure as the supervised learning information. Compared ...

Our data science expert continues his exploration of neural network programming, explaining how regularization addresses the problem of model overfitting, caused by network overtraining. Neural ...

Neuroscience currently lacks a comprehensive theory of how cognitive processes can be implemented in a biological substrate. The Neural Engineering Framework (NEF) proposes one such theory, but has ...