Temporal correlation between inputs that arises from synaptic filtering, for instance, is often ignored when assuming that an input spike can at most generate one output spike. Through numerical ...

Abstract: The data-driven techniques have been developed to deal with the output regulation problem of unknown linear systems by various approaches. In this article, we first extend an existing result ...

Abstract: The classical linear quadratic regulation (LQR) problem of linear systems by state feedback has been widely addressed. However, the LQR problem by dynamic ...

This shift is disrupting the entire linear TV market. According to statistics, the majority of linear television viewers fall into the category of older audiences, typically aged 35 or older. Turning ...

In this framework, emphasis is placed on the characteristic parameters of self-organizing complex systems with non-linear dynamics. These parameters include changes in correlation structure ... of the ...

Laboratory for Research on the Structure of Matter (LRSM), University of Pennsylvania, Philadelphia, United States ...

Using a novel deep learning approach, we evaluated the predictive power of the functional connectome during various states (resting state, movie-watching, and n-back) on episodic memory and working ...

WASHINGTON, Jan 17 (Reuters) - U.S. manufacturing output surged in December likely as production at Boeing (BA.N), opens new tab picked up following the end of a crippling strike by factory ...