: Electromyography (EMG) signals are becoming increasingly important in many applications,
including clinical/biomedical, prosthesis or rehabilitation devices, human machine …

Animals readily execute learned behaviors in a consistent manner over long periods of time,
and yet no equally stable neural correlate has been demonstrated. How does the cortex …

Despite rapid advances in machine learning tools, the majority of neural decoding approaches
still use traditional methods. Modern machine learning tools, which are versatile and …

… Because each dataset features recordings from rhesus macaques, there is no personally …
This dataset was collected by Raeed Chowdhury from the Miller Lab at Northwestern University…

… We demonstrate its broad applicability on several rhesus macaque datasets: from motor
cortex during free-paced reaching, somatosensory cortex during reaching with perturbations, …

Does financial market development enhance the effectiveness of R&D investment in an
economy? To address this question, we apply three distinct approaches including (i) ordinary …

… Analyses of data from rhesus macaque S1 and rat hippocampus indicate how these
methods compare for areas other than M1. On each of the three datasets we trained a GLM and …

The spiking activity of populations of cortical neurons is well described by the dynamics of a
small number of population-wide covariance patterns, whose activation we refer to as ‘latent …

… For the experiments detailed in this paper, we recorded neural signals from three Rhesus
macaques (Monkeys C, H, and L) using Utah multi-electrode arrays (Blackrock Microsystems) …

Backgrounds Approximately, half of the population in the world including tropical and sub-tropical
climates region is at risk of dengue. Being an endemic country, Bangladesh has …