Zobrazeno 1 - 10
of 43
pro vyhledávání: '"P. T. Eden"'
Publikováno v:
IEEE Access, Vol 12, Pp 113314-113335 (2024)
Extracting meaningful information from high-dimensional data poses a formidable modeling challenge, particularly when the data is obscured by noise or represented through different modalities. This research proposes a novel non-parametric modeling ap
Externí odkaz:
https://doaj.org/article/f42826521187497fa4a7a00052a4dd55
Publikováno v:
IEEE Access, Vol 10, Pp 119106-119118 (2022)
Neurons can code for multiple variables simultaneously and neuroscientists are often interested in classifying neurons based on their receptive field properties. Statistical models provide powerful tools for determining the factors influencing neural
Externí odkaz:
https://doaj.org/article/7b0fa8c939074ff382f58bf433abccec
Autor:
Elizabeth R. Spencer, Dhinakaran Chinappen, Britt C. Emerton, Amy K. Morgan, Matti S. Hämäläinen, Dara S. Manoach, Uri T. Eden, Mark A. Kramer, Catherine J. Chu
Publikováno v:
NeuroImage: Clinical, Vol 33, Iss , Pp 102956- (2022)
Rolandic epilepsy is the most common form of epileptic encephalopathy, characterized by sleep-potentiated inferior Rolandic epileptiform spikes, seizures, and cognitive deficits in school-age children that spontaneously resolve by adolescence. We rec
Externí odkaz:
https://doaj.org/article/339bbdb19c334713b39c84610c430960
Autor:
Wen Shi, Dana Zemel, Sudiksha Sridhar, Rebecca A. Mount, R. Mark Richardson, Uri T. Eden, Xue Han, Mark A. Kramer, Catherine J. Chu
Publikováno v:
Epilepsy & Behavior Reports, Vol 18, Iss , Pp 100529- (2022)
Epilepsy biomarkers from electroencephalogram recordings are routinely used to assess seizure risk and localization. Two widely adopted biomarkers include: (i) interictal spikes, and (ii) high frequency ripple oscillations. The combination of these t
Externí odkaz:
https://doaj.org/article/b0e93875e64b4d98a64df714f06c8fbc
Autor:
Eric L Denovellis, Anna K Gillespie, Michael E Coulter, Marielena Sosa, Jason E Chung, Uri T Eden, Loren M Frank
Publikováno v:
eLife, Vol 10 (2021)
Representations related to past experiences play a critical role in memory and decision-making processes. The rat hippocampus expresses these types of representations during sharp-wave ripple (SWR) events, and previous work identified a minority of S
Externí odkaz:
https://doaj.org/article/ed85c0c05d0044879cc2f828c003ecc1
Publikováno v:
eLife, Vol 10 (2021)
Brain rhythms have been proposed to facilitate brain function, with an especially important role attributed to the phase of low-frequency rhythms. Understanding the role of phase in neural function requires interventions that perturb neural activity
Externí odkaz:
https://doaj.org/article/4970fd0485364008b1cfad5f0975b186
Publikováno v:
Computational Psychiatry, Vol 1, Pp 58-81 (2017)
Censored data occur commonly in trial-structured behavioral experiments and many other forms of longitudinal data. They can lead to severe bias and reduction of statistical power in subsequent analyses. Principled approaches for dealing with censored
Externí odkaz:
https://doaj.org/article/87ea133aabe748c9a74dace2e9089312
Autor:
L-E Martinet, G. Fiddyment, J. R. Madsen, E. N. Eskandar, W. Truccolo, U. T. Eden, S. S. Cash, M. A. Kramer
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-13 (2017)
The authors record both local and long-range neural activity during human epileptic seizures to study the underlying multi-scale dynamics. They find that coupling of activity across spatial scales increases during seizures through propagating waves t
Externí odkaz:
https://doaj.org/article/c2999ca374694a948200b2b24a8d3e53
Autor:
Jessica K Nadalin, Louis-Emmanuel Martinet, Ethan B Blackwood, Meng-Chen Lo, Alik S Widge, Sydney S Cash, Uri T Eden, Mark A Kramer
Publikováno v:
eLife, Vol 8 (2019)
Cross frequency coupling (CFC) is emerging as a fundamental feature of brain activity, correlated with brain function and dysfunction. Many different types of CFC have been identified through application of numerous data analysis methods, each develo
Externí odkaz:
https://doaj.org/article/f66cb8f14be3486c8ccc2f0b97cf2506
Autor:
Ali Yousefi, Angelique C. Paulk, Ishita Basu, Jonathan L. Mirsky, Darin D. Dougherty, Emad N. Eskandar, Uri T. Eden, Alik S. Widge
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2019)
Mathematical modeling of behavior during a psychophysical task, referred to as “computational psychiatry,” could greatly improve our understanding of mental disorders. One barrier to the broader adoption of computational methods, is that they oft
Externí odkaz:
https://doaj.org/article/ede408f716d1497a86654d301c572c70