Zobrazeno 1 - 10
of 315
pro vyhledávání: '"Klaus Obermayer"'
Autor:
Christoph Metzner, Cristiana Dimulescu, Fabian Kamp, Sophie Fromm, Peter J. Uhlhaas, Klaus Obermayer
Publikováno v:
Frontiers in Psychiatry, Vol 15 (2024)
IntroductionWe examined changes in large-scale functional connectivity and temporal dynamics and their underlying mechanisms in schizophrenia (ScZ) through measurements of resting-state functional magnetic resonance imaging (rs-fMRI) data and computa
Externí odkaz:
https://doaj.org/article/28d60f6b754b46a19cba8cc923aa120b
Autor:
Cristiana Dimulescu, Leonhard Donle, Caglar Cakan, Thomas Goerttler, Lilia Khakimova, Julia Ladenbauer, Agnes Flöel, Klaus Obermayer
Publikováno v:
Frontiers in Neuroinformatics, Vol 18 (2024)
Study objectivesWe aimed to build a tool which facilitates manual labeling of sleep slow oscillations (SOs) and evaluate the performance of traditional sleep SO detection algorithms on such a manually labeled data set. We sought to develop improved m
Externí odkaz:
https://doaj.org/article/691080a8a33e46fc9199bf29d98e246d
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 10 (2023)
Externí odkaz:
https://doaj.org/article/5a2941865b5c4cd5bb51aaa251e65cfd
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 3, Pp 33-44 (2022)
Real-time load information in public transport is of high importance for both passengers and service providers. Neural algorithms have shown a high performance on various object counting tasks and play a continually growing methodological role in dev
Externí odkaz:
https://doaj.org/article/ed636ead0e0944d88aeb62721aa4ae9a
Publikováno v:
Frontiers in Neuroinformatics, Vol 16 (2022)
Graphics processing units (GPUs) are widely available and have been used with great success to accelerate scientific computing in the last decade. These advances, however, are often not available to researchers interested in simulating spiking neural
Externí odkaz:
https://doaj.org/article/0419ad4c595b411b8ba7f95d4419339a
Autor:
Lena Salfenmoser, Klaus Obermayer
Publikováno v:
Frontiers in Computational Neuroscience, Vol 16 (2022)
We apply the framework of nonlinear optimal control to a biophysically realistic neural mass model, which consists of two mutually coupled populations of deterministic excitatory and inhibitory neurons. External control signals are realized by time-d
Externí odkaz:
https://doaj.org/article/5b4815e27c6c4754a6a13c8fd264120e
Publikováno v:
Frontiers in Computational Neuroscience, Vol 16 (2022)
Sleep manifests itself by the spontaneous emergence of characteristic oscillatory rhythms, which often time-lock and are implicated in memory formation. Here, we analyze a neural mass model of the thalamocortical loop in which the cortical node can g
Externí odkaz:
https://doaj.org/article/8f303c6e655440c9ac5836455af76c20
Publikováno v:
Frontiers in Computational Neuroscience, Vol 16 (2022)
Gamma rhythms play a major role in many different processes in the brain, such as attention, working memory, and sensory processing. While typically considered detrimental, counterintuitively noise can sometimes have beneficial effects on communicati
Externí odkaz:
https://doaj.org/article/bc42fcb205324f36b185d3b00abb6ed9
Autor:
Caglar Cakan, Cristiana Dimulescu, Liliia Khakimova, Daniela Obst, Agnes Flöel, Klaus Obermayer
Publikováno v:
Frontiers in Computational Neuroscience, Vol 15 (2022)
During slow-wave sleep, the brain is in a self-organized regime in which slow oscillations (SOs) between up- and down-states travel across the cortex. While an isolated piece of cortex can produce SOs, the brain-wide propagation of these oscillations
Externí odkaz:
https://doaj.org/article/edfd23667737401e9d6f84db42de0517
Publikováno v:
Frontiers in Human Neuroscience, Vol 15 (2021)
Brain–computer interface (BCI) has developed rapidly over the past two decades, mainly due to advancements in machine learning. Subjects must learn to modulate their brain activities to ensure a successful BCI. Feedback training is a practical appr
Externí odkaz:
https://doaj.org/article/34ef61bfbf82441db5b965abde451d73