Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Elyse Sussman"'
Publikováno v:
NeuroImage, Vol 225, Iss , Pp 117472- (2021)
Learning to anticipate future states of the world based on statistical regularities in the environment is a key component of perception and is vital for the survival of many organisms. Such statistical learning and prediction are crucial for acquirin
Externí odkaz:
https://doaj.org/article/6a9f8fe5c92f46bdafda40aa001c14db
Publikováno v:
PLoS Computational Biology, Vol 11, Iss 11, p e1004555 (2015)
Sequences of higher frequency A and lower frequency B tones repeating in an ABA- triplet pattern are widely used to study auditory streaming. One may experience either an integrated percept, a single ABA-ABA- stream, or a segregated percept, separate
Externí odkaz:
https://doaj.org/article/892cdbe26ce0404e8b5d3552c984b6f1
Publikováno v:
Cereb Cortex
A recent formulation of predictive coding theory proposes that a subset of neurons in each cortical area encodes sensory prediction errors, the difference between predictions relayed from higher cortex and the sensory input. Here, we test for evidenc
Autor:
Elyse Sussman, Kelin M. Brace
Publikováno v:
Frontiers in Human Neuroscience, Vol 15 (2021)
Frontiers in Human Neuroscience
Frontiers in Human Neuroscience
The predictable rhythmic structure is important to most ecologically relevant sounds for humans, such as is found in the rhythm of speech or music. This study addressed the question of how rhythmic predictions are maintained in the auditory system wh
Autor:
Elyse Sussman, Kelin M. Brace
Publikováno v:
Psychophysiology
The auditory system frequently encounters ambiguous sound input that can be perceived in multiple ways. The current study investigated the role of explicit knowledge in modulating how sounds are represented in auditory memory for a bistable sound seq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd3d4d8bc5f6048754ef84251f9ee6ea
https://europepmc.org/articles/PMC9248873/
https://europepmc.org/articles/PMC9248873/
Publikováno v:
NeuroImage, Vol 225, Iss, Pp 117472-(2021)
Learning to anticipate future states of the world based on statistical regularities in the environment is a key component of perception and is vital for the survival of many organisms. Such statistical learning and prediction are crucial for acquirin
Publikováno v:
eLife
eLife, Vol 9 (2020)
eLife, Vol 9 (2020)
A neural code adapted to the statistical structure of sensory cues may optimize perception. We investigated whether interaural time difference (ITD) statistics inherent in natural acoustic scenes are parameters determining spatial discriminability. T
Publikováno v:
J Cogn Neurosci
The theory of statistical learning has been influential in providing a framework for how humans learn to segment patterns of regularities from continuous sensory inputs, such as speech and music. This form of learning is based on statistical cues and