Zobrazeno 1 - 10
of 250
pro vyhledávání: '"Anthony N, Burkitt"'
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
ObjectiveSeizure prediction could improve quality of life for patients through removing uncertainty and providing an opportunity for acute treatments. Most seizure prediction models use feature engineering to process the EEG recordings. Long-Short Te
Externí odkaz:
https://doaj.org/article/51386d1bb3b043d497815a55ba06ce5d
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-15 (2024)
Abstract The Steady-State Visual Evoked Potential (SSVEP) is a widely used modality in Brain-Computer Interfaces (BCIs). Existing research has demonstrated the capabilities of SSVEP that use single frequencies for each target in various applications
Externí odkaz:
https://doaj.org/article/606e6812cc39413591f5526d10c7453f
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-13 (2023)
Abstract Understanding how brains process information is an incredibly difficult task. Amongst the metrics characterising information processing in the brain, observations of dynamic near-critical states have generated significant interest. However,
Externí odkaz:
https://doaj.org/article/4516dec4525b4b119a4fbff67b08e4eb
Publikováno v:
IEEE Access, Vol 11, Pp 87305-87315 (2023)
Steady-State Visually Evoked Potentials (SSVEPs) serve as one of the most robust Brain-Computer Interface (BCI) paradigms. Being an exogenous brain response, the properties of elicited SSVEPs are directly related to the properties of the visual stimu
Externí odkaz:
https://doaj.org/article/1a21dd746e574f82bd44b7aa0a23d9f3
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 9, p e1011457 (2023)
The ability of the brain to represent the external world in real-time is impacted by the fact that neural processing takes time. Because neural delays accumulate as information progresses through the visual system, representations encoded at each hie
Externí odkaz:
https://doaj.org/article/df47b1ad14cc42b4a0a59a4ae2c6f658
Publikováno v:
Physical Review Research, Vol 5, Iss 4, p 043132 (2023)
This paper examines the relationship between sparse random network architectures and neural network stability by examining the eigenvalue spectral distribution. Specifically, we generalize classical eigenspectral results to sparse (not fully connecte
Externí odkaz:
https://doaj.org/article/c9a3e95389754139a3226888c5038d02
Publikováno v:
Frontiers in Computational Neuroscience, Vol 16 (2022)
We establish a simple mechanism by which radially oriented simple cells can emerge in the primary visual cortex. In 1986, R. Linsker. proposed a means by which radially symmetric, spatial opponent cells can evolve, driven entirely by noise, from stru
Externí odkaz:
https://doaj.org/article/08738b42ab4345c09552875b96fed11e
Autor:
Matias I. Maturana, Christian Meisel, Katrina Dell, Philippa J. Karoly, Wendyl D’Souza, David B. Grayden, Anthony N. Burkitt, Premysl Jiruska, Jan Kudlacek, Jaroslav Hlinka, Mark J. Cook, Levin Kuhlmann, Dean R. Freestone
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
Critical slowing (associated with increased variance and autocorrelation) can precede critical state transitions. Here, the authors show critical slowing can be used as a marker in seizure forecasting algorithms.
Externí odkaz:
https://doaj.org/article/e010c52fee524c7983eb84e734cd4ac9
Autor:
Katrina L. Dell, Daniel E. Payne, Vaclav Kremen, Matias I. Maturana, Vaclav Gerla, Petr Nejedly, Gregory A. Worrell, Lhotska Lenka, Filip Mivalt, Raymond C. Boston, Benjamin H. Brinkmann, Wendyl D'Souza, Anthony N. Burkitt, David B. Grayden, Levin Kuhlmann, Dean R. Freestone, Mark J. Cook
Publikováno v:
EClinicalMedicine, Vol 37, Iss , Pp 100934- (2021)
Background: While the effects of prolonged sleep deprivation (≥24 h) on seizure occurrence has been thoroughly explored, little is known about the effects of day-to-day variations in the duration and quality of sleep on seizure probability. A bette
Externí odkaz:
https://doaj.org/article/0c4bd54f03ba41dab8175faf3f0e8702
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 3, p e1007957 (2021)
There are two distinct classes of cells in the primary visual cortex (V1): simple cells and complex cells. One defining feature of complex cells is their spatial phase invariance; they respond strongly to oriented grating stimuli with a preferred ori
Externí odkaz:
https://doaj.org/article/de6a02a6fe3b4710ae7c9ea5bb6e0378