Transformers are a neural network (NN) architecture, or model, that excels at processing sequential data by weighing the ...

Abstract: The variants of constructing the circulant matrices of any p-ary linear recurrent sequence (LRS) of maximal period on the basis of automorphic multiplicative groups of the extended Galois ...

Abstract: The Zak transform can directly map signals from the delay-Doppler domain to the time domain, which has a relatively low complexity for orthogonal time frequency space (OTFS) signal ...

Last month, an art festival in Reykjavík provided the art world with a much-needed opportunity to slow down and rediscover ...

Utilizing high-quality, time-series Quantitative Trait Loci (QTL) mapping, the work provides compelling evidential support for novel, time-dependent genetic interactions (epistasis). A fundamental ...

This study offers a valuable advance for neuroscience by extending a visualization tool that enables intuitive assessment of how dendritic and synaptic currents shape the output of neurons. The ...