Work

Delay differential analysis for dynamical sleep spindle detection

Year: 2019

Type: article

Source: Journal of Neuroscience Methods

DOI: 10.1016/j.jneumeth.2019.01.009

Authors: Aaron L. Sampson, Claudia Lainscsek, Christopher E. Gonzalez, István Ulbert, Orrin Devinsky, Dániel Fabó, Joseph R. Madsen, Eric Halgren, Sydney S. Cash, Terrence J. Sejnowski

Institutions: Salk Institute for Biological Studies, University of California San Diego, Pázmány Péter Catholic University, Institute of Cognitive Neuroscience and Psychology, Hungarian Academy of Sciences, HUN-REN Research Centre for Natural Sciences, NYU Langone Health, New York University, Országos Idegsebészeti Tudományos Intézet, Boston Children's Hospital, Harvard University, Massachusetts General Hospital

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: green

Funders: Howard Hughes Medical Institute, Office of Naval Research, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering

Awards: CRCNS: Integrated Empirical and Multi-scale Modeling of Human Sleep Spindles, Training Program in Cognitive Neuroscience, G4524317848, Delay Differential Analysis of Sleep Spindles and a Schizophrenia Biomarker, Neurosciences Graduate Training Program, G629273992, Nonlinear Causal Analysis of Neural Signals, Multiscale modeling and large-scale recordings of trauma-induced epileptogenesis

OpenAlex ID: W2914695196

FWCI: 1.017

Cites: 30

Cited by: 14

Related to: 10