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Bring the Noise: Reconceptualizing Spontaneous Neural Activity
1Department of Psychology, University of Miami, PO Box 248185-0751, Coral Gables, FL 33124, USA; Neuroscience Program, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
Trends in Cognitive Sciences
|July 1, 2020
Summary
Defining the neural signal of interest is complex, as spontaneous brain activity gains significance. Separating brain signal from noise reshapes our understanding of brain organization at multiple levels.
Area of Science:
- Neuroscience
- Cognitive Science
- Neuroimaging
Background:
- The definition of the 'signal of interest' in neuroscience is debated, influenced by evolving views on spontaneous neural activity.
- The challenge of distinguishing neural signals from background noise impacts understanding of brain function.
Purpose of the Study:
- To review how the signal-vs-noise problem in neuroscience prompts new conceptualizations of brain organization.
- To explore the interplay between signal and noise in neural systems and its implications for neuroimaging.
Main Methods:
- Literature review of neuroscience, electrophysiology, and computational modeling.
- Analysis of functional neuroimaging debates on artifact removal and signal isolation.
Main Results:
- The difficulty in separating signal from noise has led to novel ideas about brain organization at micro- and macroscopic scales.
- Discussions in functional neuroimaging highlight the need to refine methods for isolating neuronal signals.
Conclusions:
- Insights from electrophysiology and computational modeling can enhance current theories and data analysis in human functional neuroimaging.
- Signal and noise may be fundamentally intertwined in brain function, requiring integrated approaches for study.
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