Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Duho Sihn"'
Autor:
Duho Sihn, Sung-Phil Kim
Publikováno v:
Frontiers in Computational Neuroscience, Vol 18 (2024)
IntroductionBehaviors often involve a sequence of events, and learning and reproducing it is essential for sequential memory. Brain loop structures refer to loop-shaped inter-regional connection structures in the brain such as cortico-basal ganglia-t
Externí odkaz:
https://doaj.org/article/25e9df32b5384e9781160756fb002d3a
Autor:
Duho Sihn, Sung-Phil Kim
Publikováno v:
Brain Sciences, Vol 14, Iss 10, p 981 (2024)
Background/Objectives: Meditation induces changes in the nervous system, which presumably underpin positive psychological and physiological effects. Such neural changes include alterations in the arousal fluctuation, as well as in infraslow brain act
Externí odkaz:
https://doaj.org/article/9bb1cc6d1a7140da81864c7f22410f4a
Publikováno v:
Frontiers in Computational Neuroscience, Vol 17 (2023)
IntroductionEfficient coding that minimizes informational redundancy of neural representations is a widely accepted neural coding principle. Despite the benefit, maximizing efficiency in neural coding can make neural representation vulnerable to rand
Externí odkaz:
https://doaj.org/article/98115f6e9b3b4e408c5f23594b075fe4
Publikováno v:
Frontiers in Psychiatry, Vol 14 (2023)
IntroductionIdentifying biomarkers for depression from brain activity is important for the diagnosis and treatment of depression disorders. We investigated spatial correlations of the amplitude fluctuations of electroencephalography (EEG) oscillation
Externí odkaz:
https://doaj.org/article/4908cf413b514832b2cfd95ffc49e33f
Spatio-Temporally Efficient Coding Assigns Functions to Hierarchical Structures of the Visual System
Autor:
Duho Sihn, Sung-Phil Kim
Publikováno v:
Frontiers in Computational Neuroscience, Vol 16 (2022)
Hierarchical structures constitute a wide array of brain areas, including the visual system. One of the important questions regarding visual hierarchical structures is to identify computational principles for assigning functions that represent the ex
Externí odkaz:
https://doaj.org/article/67618001ea594da2b4d48acb71fb6dc4
Autor:
Duho Sihn, Sung-Phil Kim
Publikováno v:
PeerJ, Vol 10, p e12875 (2022)
The oscillation phase of electroencephalograms (EEGs) is associated with behavioral performance. Several studies have demonstrated this association for relatively fast oscillations (>1 Hz); a similar finding has also been reported for slower oscillat
Externí odkaz:
https://doaj.org/article/62a55d217a6e4fda9c471dd1a66c04a7
Autor:
Duho Sihn, Sung-Phil Kim
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
The functional role of the brain’s infraslow activity (ISA, 0.01–0.1 Hz) in human behavior has yet to be elucidated. To date, it has been shown that the brain’s ISA correlates with behavioral performance; task performance is more likely to incr
Externí odkaz:
https://doaj.org/article/996d62c67405498b8774327067d0bfeb
Autor:
Duho Sihn, Sung-Phil Kim
Publikováno v:
Frontiers in Computational Neuroscience, Vol 13 (2019)
Neural spike train analysis methods are mainly used for understanding the temporal aspects of neural information processing. One approach is to measure the dissimilarity between the spike trains of a pair of neurons, often referred to as the spike tr
Externí odkaz:
https://doaj.org/article/1d472a686f0745acad79bb1bea469ba2
Spatio-Temporally Efficient Coding Assigns Functions to Hierarchical Structures of the Visual System
Autor:
Sung-Phil Kim, Duho Sihn
Publikováno v:
Frontiers in Computational Neuroscience. 16
Hierarchical structures constitute a wide array of brain areas, including the visual system. One of the important questions regarding visual hierarchical structures is to identify computational principles for assigning functions that represent the ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de014ea129eb66c19d6bad8e73464d60
https://doi.org/10.3389/fncom.2022.890447
https://doi.org/10.3389/fncom.2022.890447
Autor:
Sung-Phil Kim, Duho Sihn
Publikováno v:
Frontiers in Computational Neuroscience, Vol 13 (2019)
Frontiers in Computational Neuroscience
Frontiers in Computational Neuroscience
Neural spike train analysis methods are mainly used for understanding the temporal aspects of neural information processing. One approach is to measure the dissimilarity between the spike trains of a pair of neurons, often referred to as the spike tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1abbbdc270e582a2670c5a511ce956b6
https://doi.org/10.3389/fncom.2019.00082
https://doi.org/10.3389/fncom.2019.00082