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Theta and Gamma Power Increases and Alpha/Beta Power Decreases with Memory Load
 

Summary: U
ncorrected
Proof
Theta and Gamma Power Increases and Alpha/Beta
Power Decreases with Memory Load
in an Attractor Network Model
Mikael Lundqvist, Pawel Herman, and Anders Lansner
Abstract
Changes in oscillatory brain activity are strongly correlated
with performance in cognitive tasks and modulations in specific
frequency bands are associated with working memory tasks. Meso-
scale network models allow the study of oscillations as an emer-
gent feature of neuronal activity. Here we extend a previously
developed attractor network model, previously shown to faithfully
reproduce single-cell activity during retention and memory recall,
with synaptic augmentation which enables it to function as a multi-
item working memory by cyclic reactivation of up to five to seven
items. This reactivation happens at theta frequency, consistently
with recent experimental findings, with increasing theta power
for each additional item loaded in the networks memory. Further-

  

Source: Andrzejak, Ralph Gregor - Departament de Tecnologia, Universitat Pompeu Fabra

 

Collections: Computer Technologies and Information Sciences