Accession Number:

AD1071963

Title:

The Spatiotemporal Resolution of Cognitive Signals Revealed Through High-Density uECoG Mapping

Descriptive Note:

Technical Report,15 Apr 2014,31 Jan 2018

Corporate Author:

PENNSYLVANIA UNIV PHILADELPHIA PHILADELPHIA United States

Personal Author(s):

Report Date:

2019-01-24

Pagination or Media Count:

5.0

Abstract:

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 cortexvPFC, 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.

Subject Categories:

  • Psychology

Distribution Statement:

APPROVED FOR PUBLIC RELEASE