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Phillip E. Gander

Researcher at University of Iowa

Publications -  54
Citations -  1537

Phillip E. Gander is an academic researcher from University of Iowa. The author has contributed to research in topics: Auditory cortex & Tinnitus. The author has an hindex of 17, co-authored 45 publications receiving 1099 citations. Previous affiliations of Phillip E. Gander include Roy J. and Lucille A. Carver College of Medicine & University of Iowa Hospitals and Clinics.

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A Brain System for Auditory Working Memory.

TL;DR: This work robustly demonstrate hippocampal involvement in all phases of auditory working memory (encoding, maintenance, and retrieval): the role of hippocampus in working memory is controversial.
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Neural signatures of perceptual inference.

TL;DR: Oscillatory codes for critical aspects of generative models of perception are confirmed, using direct recordings from human auditory cortex, that surprise due to prediction violations is encoded by local field potential oscillations in the gamma band, changes to predictions in the beta band, and that the precision of predictions appears to quantitatively relate to alpha band oscillations.
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The Brain Basis for Misophonia

TL;DR: In this article, the authors used functional and structural MRI coupled with physiological measurements to demonstrate that trigger sounds elicit greatly exaggerated bloodoxygen-level-dependent (BOLD) responses in the anterior insular cortex (AIC), a core hub of the salience network that is critical for perception of interoceptive signals and emotion processing.
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An Integrative Tinnitus Model Based on Sensory Precision

TL;DR: A new framework is proposed, based on predictive coding, in which spontaneous activity in the subcortical auditory pathway constitutes a ‘tinnitus precursor’ which is normally ignored as imprecise evidence against the prevailing percept of ‘silence’.
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The demodulated band transform.

TL;DR: Demodulated band transform is ideally suited to efficient estimation of both stationary and non-stationary spectral and cross-spectral statistics with minimal susceptibility to spectral leakage.