ArticleFrontiers in systems neuroscience2019
Analysis Pipeline for Extracting Features of Cortical Slow Oscillations.
Article in Frontiers in systems neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- A modular and adaptable analysis pipeline to compare slow cerebral rhythms across heterogeneous datasets.Cell reports methods · 2024Article
- Simulations approaching data: cortical slow waves in inferred models of the whole hemisphere of mouse.Communications biology · 2023Article
- Detection of neuronal OFF periods as low amplitude neural activity segments.BMC neuroscience · 2023Article
- Thalamo-cortical spiking model of incremental learning combining perception, context and NREM-sleep.PLoS computational biology · 2021Article
- Modulation of cortical slow oscillatory rhythm by GABAThe Journal of physiology · 2020Article
- Analysis and Model of Cortical Slow Waves Acquired with Optical Techniques.Methods and protocols · 2020Article
- Scaling of a Large-Scale Simulation of Synchronous Slow-Wave and Asynchronous Awake-Like Activity of a Cortical Model With Long-Range Interconnections.Frontiers in systems neuroscience · 2019Article
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Authors and funding
6 authors.
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Abstract
Cortical slow oscillations (≲1 Hz) are an emergent property of the cortical network that integrate connectivity and physiological features. This rhythm, highly revealing of the characteristics of the underlying dynamics, is a hallmark of low complexity brain states like sleep, and represents a default activity pattern. Here, we present a methodological approach for quantifying the spatial and temporal properties of this emergent activity. We improved and enriched a robust analysis procedure that has already been successfully applied to both
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