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Editorial: Understanding the role of oscillations, mutual information and synchronization in perception and action

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Rimmele,  Johanna Maria       
Department of Cognitive Neuropsychology, Max Planck Institute for Empirical Aesthetics, Max Planck Society;
Max Planck NYU Center for Language, Music, and Emotion;

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Citation

Bahmer, A., Rimmele, J. M., & Gupta, D. S. (2024). Editorial: Understanding the role of oscillations, mutual information and synchronization in perception and action. Frontiers in Computational Neuroscience, 18: 1452001. doi:10.3389/fncom.2024.1452001.


Cite as: https://hdl.handle.net/21.11116/0000-000F-E871-C
Abstract
The Research Topic focuses on the role of neural activities in the brain during action and perception. It features eight articles that include research on increased synchronized spiking and neural oscillations across different bandwidths. During interactions with the external world, the brain's processing of information leads to a rise in mutual information and a decrease in surprise (Gupta and Bahmer, 2019). Mutual information serves as a broad indicator of how strongly two variables are related (Gupta and Bahmer, 2019). Prior research has highlighted the critical role of such coupling across time in various sensory tasks (Bahmer and Gupta, 2018; Rimmele et al., 2018; Gross et al., 2013; Haegens and Golumbic, 2018). Recent studies featured in the Frontiers Research Topic “Understanding the importance of temporal coupling of neural activities in information processing underlying action and perception” (Gupta and Bahmer, 2021) on the role of synchronization of neural activity emphasize coupling when neural activities align in time. This process, in turn, can decrease the randomness in neural activities, thereby enhancing the efficiency of information processing related to both action and perception. The discussed research in this Research Topic aims to further explore the importance of temporal coupling in neural activities for information processing, and correlations through different methodologies including computational models and clinical studies. The goal is to deepen understanding of how synchronization and other forms of temporal linkage in brain activities contribute to information flow and processing.