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. Author manuscript; available in PMC: 2023 Oct 23.
Published in final edited form as: Cell Rep. 2023 Mar 24;42(4):112254. doi: 10.1016/j.celrep.2023.112254

Table 1.

Properties of analyzed and modeled datasets

Species, experiment, modality Nodes Tested phenomena, sampling rate Datasets (nodes × time points)
Macaque monkey, anesthesia, electrocorticography48 grid electrode channels distributed over a cortical hemisphere critical dynamics, 1,000 Hz. We followed previous work29 that established this sampling rate as a lower bound for detection of critical dynamics in empirical data 128× (1.5 million)
128× (1.5 million)
128× (1.5 million)
128× (1.5 million)
Macaque monkey, resting state, electrocorticography48 scale-free phenomena, 1,000 Hz. 128× (1 million)
128× (1 million)
128× (1 million)
128× (1 million)
Humans, working memory task, intracranial EEG (electrocorticography and/or stereotactic EEG)49 grid and/or depth electrode channels distributed over parts of frontal and temporal cortex We adopted this sampling rate for consistency with tests of dynamical phenomena. Our results were robust to tests at a lower sampling rate of 250 Hz 84 × (1 million)
110× (764,000)
106× (840,000)
126× (812,000)
Humans, resting state, stereotactic EEG50 depth electrode channels distributed over diverse cortical regions 148× (1 million)
157× (1 million)
166× (1 million)
186× (1 million)
Zebrafish, fictive swimming, light-sheet calcium imaging51 neurons distributed over the whole brain some scale-free phenomena, ~3 Hz. We followed previous work34 to adopt a modified avalanche-detection procedure most suitable for analysis of brain-wide light-sheet calcium imaging data (110,000)× 7,100
(117,000)× 5,200