11 papers · ranked by Valyu relevance
Jonas Oberste-Frielinghaus, Aitor Morales-Gregorio, Simon Essink, Alexander Kleinjohann + 4 more
Current electrophysiology experiments often involve massively parallel recordings of neuronal activity using multi-electrode arrays. While researchers have been aware of artifacts arising from electric cross-talk between channels in setups for such recordings, systematic and quantitative assessment of the effects of…
Sylvain Prigent, Stéphanie Dutertre, Aurélien Bidaud-Meynard, Giulia Bertolin + 2 more
Array detector allows a resolution gain for confocal microscopy by combining several images acquired by 32 sub-detectors. A single high resolution image is generally obtained by spatially re-assigning the signal from the 32 sub-detectors and applying a deconvolution procedure. Alternative methods have been proposed to…
Joshua P. Chu, Caleb T. Kemere
Recent technological advances have enabled neural recordings consisting of hundreds to thousands of channels. As the pace of these developments continues to grow rapidly, it is imperative to have fast, flexible tools supporting the analysis of neural data gathered by such large scale modalities. Here we introduce…
Lukas Hecker, Amita Giri, Dimitrios Pantazis, Amir Adler
Magnetoencephalography (MEG) and electroencephalography (EEG) are widely employed techniques for the in-vivo measurement of neural activity with exceptional temporal resolution. Modeling the neural sources underlying these signals is of high interest for both neuroscience research and pathology. The method of…
Nadina O. Zweifel, Nicholas E. Bush, Ian Abraham, Todd D. Murphey + 1 more
Rodents tactually explore the environment using ~62 whiskers (vibrissae), regularly arranged in arrays on both sides of the face. The rat vibrissal system is one of the most commonly used models to study how the brain encodes and processes somatosensory information. To date, however, researchers have been unable to…
A.R. Mamleev, D.S. Suchkov, E.I. Malyshev, A.A. Vorobyov + 8 more
Flexible and biocompatible neurointerfaces are crucial elements for intraoperative monitoring and chronic neural recordings. However, existing fabrication methods often involve complex cleanroom processes, limiting rapid prototyping and customization. In this study, we present a fast, low-cost method for manufacturing…
Juan P. Dominguez-Morales, Stefano Buccelli, Daniel Gutierrez-Galan, Ilaria Colombi + 2 more
The correct identification of burst events is crucial in many scenarios, ranging from basic neuroscience to biomedical applications. However, none of the burst detection methods that can be found in the literature have been widely adopted for this task. As an alternative to conventional techniques, a novel neuromorphic…
Ignacio Sanchez-Gendriz
Ecoacoustics is a research field that has attracted attention of researchers from areas as diverse as ecology, biology, engineering, and human sciences, to cite a few. Ecoacoustics studies the sounds that emanates from the environments, by gaining insights of landscape dynamics from acoustic patterns and…
Soumyajit Gupta, Shachi Mittal, Andre Kajdacsy-Balla, Rohit Bhargava + 1 more
High dimensional data, for example from infrared spectral imaging, involves an inherent trade-off in the acquisition time and quality of spatial-spectral data. Minimum Noise Fraction (MNF) developed by Green et al. [1] has been extensively studied as an algorithm for noise removal in HSI (Hyper-Spectral Imaging) data.…
Bernd Zetsche, Matthias Heidenreich, Prarthana Mohanraju, Iana Fedorova + 11 more
We next tested if this mutant retains activity in human cells. We used guides targeting DNMT1, VEGFA, and GRIN2b (Figure 2) to compare formation of insertion/deletion (indel) events mediated by wild-type or mutant AsCpf1 in human embryonic kidney (HEK) 293T cells. Indel frequency at the DNMT1 and GRIN2b loci were…
Vasile V. Moca, Adriana Nagy-Dăbâcan, Harald Bârzan, Raul C. Mureşan
Time-frequency analysis is ubiquitous in many fields of science. Due to the Heisenberg-Gabor uncertainty principle, a single measurement cannot estimate precisely the localization of a finite oscillation in both time and frequency. Classical spectral estimators, like the short-time Fourier transform (STFT) or the…