Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Adam S Charles"'
Autor:
Augustine Xiaoran Yuan, Jennifer Colonell, Anna Lebedeva, Michael Okun, Adam S Charles, Timothy D Harris
Publikováno v:
eLife, Vol 12 (2024)
Accurate tracking of the same neurons across multiple days is crucial for studying changes in neuronal activity during learning and adaptation. Advances in high-density extracellular electrophysiology recording probes, such as Neuropixels, provide a
Externí odkaz:
https://doaj.org/article/b28ccf91be904f6799d226626cfff6c5
Autor:
Yu Kang T. Xu, Austin R. Graves, Gabrielle I. Coste, Richard L. Huganir, Dwight E. Bergles, Adam S. Charles, Jeremias Sulam
Publikováno v:
Nature Methods.
Learning is thought to involve changes in glutamate receptors at synapses, submicron structures that mediate communication between neurons in the central nervous system. Due to their small size and high density, synapses are difficult to resolve in v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acc081d3e7951880b419f0f3683f17c3
https://doi.org/10.1038/s41592-023-01871-6
https://doi.org/10.1038/s41592-023-01871-6
Autor:
Justus M. Kebschull, Adam S. Charles, Talmo D. Pereira, William Silversmith, Daniel J. Tward, Joshua T. Vogelstein, Benjamin D. Pedigo, Jaewon Chung, Benjamin Falk, Satrajit S. Ghosh, Nicholas L. Turner, Randal Burns
Publikováno v:
Annu Rev Neurosci
As acquiring bigger data becomes easier in experimental brain science, computational and statistical brain science must achieve similar advances to fully capitalize on these data. Tackling these problems will benefit from a more explicit and concerte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e17f0ab78c7ab0426ee58cbc1e9c449d
https://doi.org/10.1146/annurev-neuro-100119-110036
https://doi.org/10.1146/annurev-neuro-100119-110036
Autor:
Ahmed El Hady, Daniel Takahashi, Ruolan Sun, Tyler Boyd-Meredith, Yisi Zhang, Adam S Charles, Carlos D Brody
Functional ultrasound imaging (fUS) is an emerging imaging technique that indirectly measures neural activity via changes in blood volume. To date it has not been used to image chronically during cognitive tasks in freely moving animals. Performing t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d20b5f1161031e595ce0ad5f6afaeedb
https://doi.org/10.1101/2022.01.29.478327
https://doi.org/10.1101/2022.01.29.478327
Publikováno v:
IEEE Trans Image Process
Optical imaging of calcium signals in the brain has enabled researchers to observe the activity of hundreds-to-thousands of individual neurons simultaneously. Current methods predominantly use morphological information, typically focusing on expected
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1dd5efeaeae01983389bc56a76558d29
https://escholarship.org/uc/item/28m269bm
https://escholarship.org/uc/item/28m269bm
Publikováno v:
J Neurosci Methods
Background The past decade has seen a multitude of new in vivo functional imaging methodologies. However, the lack of ground-truth comparisons or evaluation metrics makes the large-scale, systematic validation vital to the continued development and u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2db5274ad53825871d0f0abc7de0a850
https://pubmed.ncbi.nlm.nih.gov/33839190
https://pubmed.ncbi.nlm.nih.gov/33839190
Autor:
Krishan Kumar, John S. Choi, Mohammad Khazali, Mahdi Choudhury, Katie E. Wingel, Bijan Pesaran, Adam S. Charles
Neural-Matrix style, high-density electrode arrays for brain-machine interfaces (BMIs) and neuroscientific research require the use of multiplexing: Each recording channel can be routed to one of several electrode sites on the array. This capability
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::706264e08dfad4778396fc5ea9f22f11
https://doi.org/10.1101/2020.10.06.328526
https://doi.org/10.1101/2020.10.06.328526
Publikováno v:
Neuron. 110:328-349.e11
Recent work has highlighted that many types of variables are represented in each neocortical area. How can these many neural representations be organized together without interference and coherently maintained/updated through time? We recorded from e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09f11d2cb3eb3aff68878d1690b0b7da
https://doi.org/10.1016/j.neuron.2021.10.020
https://doi.org/10.1016/j.neuron.2021.10.020
SummaryRecent work has highlighted that many types of variables are represented in each neocortical area. How can these many neural representations be organized together without interference, and coherently maintained/updated through time? We recorde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fd3b870986c1200e2d730ded72a6c1a
https://doi.org/10.1101/801654
https://doi.org/10.1101/801654
Publikováno v:
IEEE Transactions on Signal Processing. 64:5644-5656
Despite the importance of sparsity signal models and the increasing prevalence of high-dimensional streaming data, there are relatively few algorithms for dynamic filtering of time-varying sparse signals. Of the existing algorithms, fewer still provi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0de01d0294f39595db34debc3ed9448
https://doi.org/10.1109/tsp.2016.2586745
https://doi.org/10.1109/tsp.2016.2586745