Linear or categorical activity from neurons in the gustatory cortex is necessary for network dynamics and performance.

Abstract: Passive network tomography uses end-to-end observations of network communications to characterize the network, for instance, to estimate the network topology and to localize random or ...

Abstract: To reduce computational complexity and delay in randomized network coded content distribution, and for some other practical reasons, coding is not performed simultaneously over all content ...

When I started looking into erasure coding techniques, I found many implementations of traditional block codes like Reed-Solomon codes or fountain codes like Raptor codes, though no implementation of ...

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Neural networks posses the crucial ability to generate meaningful representations of task-dependent features. Indeed, with appropriate scaling, supervised learning in neural networks can result in ...

For secure network coding to prevent eavesdropping attacks, a general design is used that puts restrictions on the eavesdropping channel set or encryption technology is embedded, which can cause ...

This project proposes an explainable automated medical coding approach based on Hierarchical Label-wise Attention Network and label embedding initialisation. The approach can be applied to multi-label ...

A major goal in neuroscience is to elucidate the principles by which memories are stored in a neural network. Here, we have systematically studied how four types of associative memories (short- and ...

Scott Nevil is an experienced writer and editor with a demonstrated history of publishing content for Investopedia. He goes in-depth to create informative and actionable content around monetary policy ...