H
Hector Penagos
Researcher at Picower Institute for Learning and Memory
Publications - 14
Citations - 647
Hector Penagos is an academic researcher from Picower Institute for Learning and Memory. The author has contributed to research in topics: Slow-wave sleep & Hippocampal formation. The author has an hindex of 8, co-authored 11 publications receiving 590 citations. Previous affiliations of Hector Penagos include Universidad de las Américas Puebla & Massachusetts Institute of Technology.
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A Neural Representation of Pitch Salience in Nonprimary Human Auditory Cortex Revealed with Functional Magnetic Resonance Imaging
TL;DR: Functional magnetic resonance imaging was used to measure activation in response to harmonic tone complexes whose temporal regularity was identical, but whose pitch salience differed, across conditions, contributing to converging evidence that anterior areas of nonprimary auditory cortex play an important role in processing pitch.
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Correct tonotopic representation is necessary for complex pitch perception
TL;DR: It is found that human subjects displayed poor pitch perception for single tones and none of the subjects was able to extract the fundamental frequency from multiple low-frequency harmonics presented to high-frequency regions of the cochlea.
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Oscillations, neural computations and learning during wake and sleep
TL;DR: It is proposed that precisely coordinated representations across brain regions allow the inference and evaluation of causal relationships to train an internal generative model of the world that underlies generalization and adaptive behavior.
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Uncovering representations of sleep-associated hippocampal ensemble spike activity.
TL;DR: The results showed that in addition to the sample length, bin size, and firing rate, number of active hippocampal pyramidal neurons are critical for reliable representation of the space as well as for detection of spatiotemporal reactivated patterns in SWS or quiet wakefulness.
Journal Article
Uncovering representations of sleep-associated hippocampal ensemble spike activity
TL;DR: In this paper, two Bayesian population-decoding methods (one receptive field-based, and the other not) were used to analyze the representation power and detection reliability of sleep-associated hippocampal spike activity.