Pre-stimulus phase and amplitude regulation of phase-locked responses is maximized in the critical state
| Autor: | Jan-Matthis Lueckmann, Richard Hardstone, Huibert D. Mansvelder, Jan Bím, Klaus Linkenkaer-Hansen, Arthur Ervin Avramiea |
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| Přispěvatelé: | Integrative Neurophysiology, Amsterdam Neuroscience - Systems & Network Neuroscience |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
QH301-705.5 Science media_common.quotation_subject Stimulus (physiology) perception General Biochemistry Genetics and Molecular Biology 03 medical and health sciences 0302 clinical medicine Versatility Perception Humans Computer Simulation Biology (General) versatility Ongoing oscillations media_common Physics Neurons General Immunology and Microbiology Quantitative Biology::Neurons and Cognition General Neuroscience critical brain dynamics Brain General Medicine Stimulus response 030104 developmental biology Amplitude ongoing oscillations Critical brain dynamics Visual Perception Medicine Other Nerve Net Neuroscience 030217 neurology & neurosurgery Research Article |
| Zdroj: | Avramiea, A E, Hardstone, R, Lueckmann, J M, Bim, J, Mansvelder, H D & Linkenkaer-Hansen, K 2020, ' Pre-stimulus phase and amplitude regulation of phase-locked responses is maximized in the critical state ', eLife, vol. 9, e53016 . https://doi.org/10.7554/eLife.53016 eLife eLife, Vol 9 (2020) eLife, 9:e53016. eLife Sciences Publications |
| ISSN: | 2050-084X |
| DOI: | 10.7554/eLife.53016 |
| Popis: | Understanding why identical stimuli give differing neuronal responses and percepts is a central challenge in research on attention and consciousness. Ongoing oscillations reflect functional states that bias processing of incoming signals through amplitude and phase. It is not known, however, whether the effect of phase or amplitude on stimulus processing depends on the long-term global dynamics of the networks generating the oscillations. Here, we show, using a computational model, that the ability of networks to regulate stimulus response based on pre-stimulus activity requires near-critical dynamics—a dynamical state that emerges from networks with balanced excitation and inhibition, and that is characterized by scale-free fluctuations. We also find that networks exhibiting critical oscillations produce differing responses to the largest range of stimulus intensities. Thus, the brain may bring its dynamics close to the critical state whenever such network versatility is required. |
| Databáze: | OpenAIRE |
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