TY - JOUR
T1 - Pre-stimulus phase and amplitude regulation of phase-locked responses is maximized in the critical state
AU - Avramiea, Arthur Ervin
AU - Hardstone, Richard
AU - Lueckmann, Jan Matthis
AU - Bim, Jan
AU - Mansvelder, Huibert D.
AU - Linkenkaer-Hansen, Klaus
PY - 2020/4
Y1 - 2020/4
N2 - 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.
AB - 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.
KW - Critical brain dynamics
KW - Ongoing oscillations
KW - Perception
KW - Versatility
UR - http://www.scopus.com/inward/record.url?scp=85084695883&partnerID=8YFLogxK
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U2 - 10.7554/eLife.53016
DO - 10.7554/eLife.53016
M3 - Article
C2 - 32324137
AN - SCOPUS:85084695883
VL - 9
JO - eLife
JF - eLife
SN - 2050-084X
M1 - e53016
ER -