This manuscript proposes a valuable idea on how cortical networks may learn a helpful representation of sensory stimuli. The model implementing this idea is tested in multiple experimental paradigms.

The Reg Austin Memorial Lecture has been established by the Royal Aeronautical Society in memory of Professor Reg Austin, FRAeS, a pioneer of rotary wing remotely piloted air systems between the 1960s ...

Abstract: In this article, we present a quasi-infinite horizon nonlinear model predictive control (MPC) scheme for tracking of generic reference trajectories. This scheme is applicable to nonlinear ...

We face a number of global challenges and engineering is at the core to ‘engineering our future’ as highlighted by Lord Patrick Vallance who has said “There’s no doubt that engineering has a major ...

Despite the established link between metabolic syndrome (MetS) and stroke incidence, the effects of dynamic and cumulative MetS scores on stroke risk among middle‐aged and older populations in China ...

1 Department of Electrical Engineering, College of Engineering & Sciences, The University of Texas Permian Basin, Odessa, TX, USA. 2 Electrical and Computer Engineering Technology, Indiana State ...

hKarl Landsteiner Institute of Lung Research and Pulmonary Oncology, Klinik Floridsdorf, Vienna, Austria iDepartment of Respiratory and Critical Care Medicine, Klinik Floridsdorf, Vienna Healthcare ...

There were 367 specimens (40% of the 927 patients in the tamoxifen and CAF-T groups) with sufficient RNA for analysis (tamoxifen, n=148; CAF-T, n=219). The recurrence score was prognostic in the ...

Abstract: The book situates itself in a unique niche “between proportional-integral-derivative (PID) and model predictive control (MPC),” as a compromise between the tradeoffs and advantages of each.