Abstract：
:A central neuroscientific pursuit is understanding neuronal interactions that support computations underlying cognition and behavior. Although neurons interact across disparate scales, from cortical columns to whole-brain networks, research has been restricted to one scale at a time. We measured local interactions through multi-neuronal recordings while accessing global networks using scalp electroencephalography (EEG) in rhesus macaques. We measured spike count correlation, an index of functional connectivity with computational relevance, and EEG oscillations, which have been linked to various cognitive functions. We found a non-monotonic relationship between EEG oscillation amplitude and spike count correlation, contrary to the intuitive expectation of a direct relationship. With a widely used network model, we replicated these findings by incorporating a private signal targeting inhibitory neurons, a common mechanism proposed for gain modulation. Finally, we found that spike count correlation explained nonlinearities in the relationship between EEG oscillations and response time in a spatial selective attention task.
journal_name
Nat Neuroscijournal_title
Nature neuroscienceauthors
Snyder AC,Morais MJ,Willis CM,Smith MAdoi
10.1038/nn.3979subject
Has Abstractpub_date
2015-05-01 00:00:00pages
736-43issue
5eissn
1097-6256issn
1546-1726pii
nn.3979journal_volume
18pub_type
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