Single-trial characterization of neural rhythms: Potential and challenges

By Julian Q. Kosciessa, Thomas H. Grandy, D. Garrett, M. Werkle-Bergner. 2019

Subfields: Cognitive Neuroscience, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Vladimir Litvak
2. Klaus Lehnertz
3. Alfons Schnitzler
4. Vadim V. Nikulin
5. Gabriel Curio
6. Tom Verguts
7. Pieter Verbeke
8. M. Senoussi

In Signal Processing

1. Vladimir Litvak
2. Vadim V. Nikulin
3. Gabriel Curio
4. M. Senoussi

Citations in the corpus

• Model selection for spectral parameterization (2024, unknown): “Similarly, time-resolved spectral parametrization tools rely on hyperparameters to minimize the detection of outlier spectral peaks (Brady & Bardouille, 2022; Kosciessa et al., 2020; Seymour et al., 2022; Stokes et al., 2023; Whitten et al., 2011; Wilson et al., 2022).”
• Separating Neural Oscillations from Aperiodic 1/f Activity: Challenges and Recommendations (2021, methodology): “Other methods to separate periodic and aperiodic PSD components exist too, for example, eBOSC (Kosciessa et al., 2020).”
• Time-Based Binding as a Solution to and a Limitation for Flexible Cognition (2021, background): “higher working memory loads led to a reduction of theta frequency (Axmacher et al., 2010; Kosciessa et al., 2020).”