Neural oscillations are a start toward understanding brain activity rather than the end

Does rhythmic neural activity merely echo the rhythmic features of the environment, or does it reflect a fundamental computational mechanism of the brain? This debate has generated a series of clever experimental studies attempting to find an answer. Here, we argue that the field has been obstructed...

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Bibliographic Details
Published in:PLoS biology 2021-05, Vol.19 (5), p.e3001234-e3001234
Main Authors: Doelling, Keith B, Assaneo, M Florencia
Format: Article
Language:English
Subjects:
Behavior
Biology and Life Sciences
Brain
Brain research
Cognitive science
Computer and Information Sciences
Differential equations
Dynamical Systems
Hypotheses
Mathematics
Medicine and Health Sciences
Neural oscillations
Neuroscience
Neurosciences
Nonlinear dynamics
Nonlinear systems
Observations
Oscillations
Parameters
Physical Sciences
Physiological aspects
Research and Analysis Methods
Rhythm
Rhythms
Social Sciences
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Summary:Does rhythmic neural activity merely echo the rhythmic features of the environment, or does it reflect a fundamental computational mechanism of the brain? This debate has generated a series of clever experimental studies attempting to find an answer. Here, we argue that the field has been obstructed by predictions of oscillators that are based more on intuition rather than biophysical models compatible with the observed phenomena. What follows is a series of cautionary examples that serve as reminders to ground our hypotheses in well-developed theories of oscillatory behavior put forth by theoretical study of dynamical systems. Ultimately, our hope is that this exercise will push the field to concern itself less with the vague question of "oscillation or not" and more with specific biophysical models that can be readily tested.
ISSN:1545-7885
1544-9173
1545-7885
DOI:10.1371/journal.pbio.3001234