Zobrazeno 1 - 10 of 13 pro vyhledávání: '"David F Parks"'
1
Akademický článek
RT-Sort: An action potential propagation-based algorithm for real time spike detection and sorting with millisecond latencies.
Autor: Tjitse van der Molen, Max Lim, Julian Bartram, Zhuowei Cheng, Ash Robbins, David F Parks, Linda R Petzold, Andreas Hierlemann, David Haussler, Paul K Hansma, Kenneth R Tovar, Kenneth S Kosik
Publikováno v: PLoS ONE, Vol 19, Iss 12, p e0312438 (2024)
With the use of high-density multi-electrode recording devices, electrophysiological signals resulting from action potentials of individual neurons can now be reliably detected on multiple adjacent recording electrodes. Spike sorting assigns these si
Externí odkaz: https://doaj.org/article/9004db7ea95243eb93b18e82177cd848
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2
Akademický článek
Transcriptomic cell type structures in vivo neuronal activity across multiple timescales
Autor: Aidan Schneider, Mehdi Azabou, Louis McDougall-Vigier, David F. Parks, Sahara Ensley, Kiran Bhaskaran-Nair, Tomasz Nowakowski, Eva L. Dyer, Keith B. Hengen
Publikováno v: Cell Reports, Vol 42, Iss 4, Pp 112318- (2023)
Summary: Cell type is hypothesized to be a key determinant of a neuron’s role within a circuit. Here, we examine whether a neuron’s transcriptomic type influences the timing of its activity. We develop a deep-learning architecture that learns fea
Externí odkaz: https://doaj.org/article/51d5d9ff9f20437091ad88f6a0fde305
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3
Akademický článek
Cloud-controlled microscopy enables remote project-based biology education in underserved Latinx communities
Autor: Pierre V. Baudin, Raina E. Sacksteder, Atesh K. Worthington, Kateryna Voitiuk, Victoria T. Ly, Ryan N. Hoffman, Matthew A.T. Elliott, David F. Parks, Rebecca Ward, Sebastian Torres-Montoya, Finn Amend, Natalia Montellano Duran, Paola A. Vargas, Guadalupe Martinez, Sandra M. Ramirez, Lucia Elena Alvarado-Arnez, Drew Ehrlich, Yohei M. Rosen, Arnar Breevoort, Tallulah Schouten, Sri Kurniawan, David Haussler, Mircea Teodorescu, Mohammed A. Mostajo-Radji
Publikováno v: Heliyon, Vol 8, Iss 11, Pp e11596- (2022)
Project-based learning (PBL) has long been recognized as an effective way to teach complex biology concepts. However, not all institutions have the resources to facilitate effective project-based coursework for students. We have developed a framework
Externí odkaz: https://doaj.org/article/4f287324825f4d3e962ce42ae6eccbbf
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7
Light-weight Electrophysiology Hardware and Software Platform for Cloud-Based Neural Recording Experiments
Autor: Matthew G. Keefe, Nico Hawthorne, David Haussler, Sebastian E. Sanso, Mircea Teodorescu, Sofie R. Salama, David F. Parks, Mohammed A. Mostajo-Radji, Daniel B. Freeman, Tomasz J. Nowakowski, Jinghui Geng, Kateryna Voitiuk
ObjectiveNeural activity represents a functional readout of neurons that is increasingly important to monitor in a wide range of experiments. Extracellular recordings have emerged as a powerful technique for measuring neural activity because these me
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::add4d0388cd346d9f8e88ddb64a45971
https://doi.org/10.1101/2021.05.18.444685
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9
Light-weight electrophysiology hardware and software platform for cloud-based neural recording experiments
Autor: Nico Hawthorne, Robert Currie, Jinghui Geng, Tomasz J. Nowakowski, Mircea Teodorescu, David Haussler, Kateryna Voitiuk, David F. Parks, Matthew G. Keefe, Sebastian E. Sanso, Mohammed A. Mostajo-Radji, Alex A. Pollen, Sofie R. Salama, Daniel B. Freeman
Publikováno v: Journal of neural engineering, vol 18, iss 6
J Neural Eng
Objective. Neural activity represents a functional readout of neurons that is increasingly important to monitor in a wide range of experiments. Extracellular recordings have emerged as a powerful technique for measuring neural activity because these
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f98df37fc1983af48a3d888e66730a4a
https://doi.org/10.1088/1741-2552/ac310a
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10
Deep Learning of Quasar Spectra to Discover and Characterize Damped Lya Systems
Autor: Zheng Cai, David F. Parks, J. Xavier Prochaska, Shawfeng Dong
We have designed, developed, and applied a convolutional neural network (CNN) architecture using multi-task learning to search for and characterize strong HI Lya absorption in quasar spectra. Without any explicit modeling of the quasar continuum nor
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f80dbc32084a6d3f2b1921bef8d66c6
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