Fig. 8: A mathematical model explaining the attention modulation of correlated neural variability. | Communications Biology

Fig. 8: A mathematical model explaining the attention modulation of correlated neural variability.

From: Distributed and dynamical communication: a mechanism for flexible cortico-cortical interactions and its functional roles in visual attention

Fig. 8

a Trajectory of a random walker of the mathematical model over a duration of 500 ms. Two potential wells with equal depth (50) are located at the center and corner. The value of potential is represented by the shades of the gray color. b Average On duration at the center well as a function of the depth of the center potential well, representing different strengths of top-down inputs. Error bars denote ± 1 SEM (n = 20 trials). c Average Fano factor of 80 neurons within the center potential well as a function of the center potential well depth. Data shows the grand average across 20 trials; error bars denote ± 1 SEM. d Same as c but for the noise correlation. Source data can be found in Supplementary Data 1.

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