The spatiotemporal resolution of the neural code that underlies attention (and other cognitive signals) is not well understood, despite a large literature that tests how these signals are modulated at the level of the single neuron. These issues have not been resolved because, until recently, it was not possible to record from large numbers of brain sites simultaneously. The goal of this grant is to fill our knowledge by testing two hypotheses. First, attentional signals can be decoded from muECoG signals in the ventrolateral prefrontal cortex(vPFC), which is cortical region that is functionally involved in auditory attention. Second, the ability of a Bayesian linear estimator to decode attentional signals depends on the spatiotemporal resolution of the ECoG-array signals.
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