Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and ...

Multi-electrode arrays (MEAs) provide a noninvasive interface with sub-millisecond temporal resolution and long-term, multi-site recordings, enabling mechanistic investigations of in vitro human brain ...

A sketch of the whole methodology for the continuous monitoring of the organoid synaptic activity through the analysis of neural activity from hFOs using MEA and a GDN model. Neural signals are ...

Hyperspectral imaging (HSI) captures rich spectral data across hundreds of contiguous bands for diverse applications. Dimension reduction (DR) techniques are commonly used to map the first three ...

Dimensionality reduction techniques like PCA work wonderfully when datasets are linearly separable—but they break down the moment nonlinear patterns appear. That’s exactly what happens with datasets ...

This important work significantly advances our understanding of the role of human hippocampal theta oscillations in memory encoding and retrieval. The evidence supporting the conclusions is solid, ...

Abstract: A large number of processes nowadays are complex and characterized by the presence of several quality variables. In most cases these variables are interrelated and therefore the need arises ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min One of the nation's largest ...

1 University of Dallas, Computer Science Department, Irving, TX, United States 2 University of Dallas, Biology Department, Irving, TX, United States T-cell receptor (TCR) sequencing has emerged as a ...

School of Chemistry and Molecular Biology, University of Queensland, Brisbane, Australia Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, United States In ...