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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 Hits 1 – 20 of 61 1 The neural processing of pitch accents in continuous speech Llanos, Fernando; German, James Sneed; Gnanateja, G,... In: ISSN: 0028-3932 ; EISSN: 1873-3514 ; Neuropsychologia ; https://hal.archives-ouvertes.fr/hal-03229881 ; Neuropsychologia, Elsevier, 2021, 158, ⟨10.1016/j.neuropsychologia.2021.107883⟩ (2021) BASE Show details 2 Individual Variability in Strategies and Learning Outcomes in Auditory Category Learning ... 43rd Annual Meeting of the Cognitive Science Society 2021; Chandrasekaran, Bharath; Roark, Casey. - : Underline Science Inc., 2021 BASE Show details 3 Individual Variability in Strategies and Learning Outcomes in Auditory Category Learning ... 43rd Annual Meeting of the Cognitive Science Society 2021; Chandrasekaran, Bharath; Roark, Casey. - : Underline Science Inc., 2021 BASE Show details 4 Cortical Tracking of the Speech Envelope in Logopenic Variant Primary Progressive Aphasia Dial, Heather R.; Gnanateja, G. Nike; Tessmer, Rachel S.... In: Front Hum Neurosci (2021) BASE Show details 5 Frequency-Following Responses to Speech Sounds Are Highly Conserved across Species and Contain Cortical Contributions Gnanateja, G. Nike; Rupp, Kyle; Llanos, Fernando... In: eNeuro (2021) BASE Show details 6 A distributed dynamic brain network mediates linguistic tone representation and categorization Feng, Gangyi; Gan, Zhenzhong; Llanos, Fernando... In: Neuroimage (2020) BASE Show details 7 Neural tracking of the speech envelope is differentially modulated by attention and language experience Reetzke, Rachel; Gnanateja, G. Nike; Chandrasekaran, Bharath In: Brain Lang (2020) BASE Show details 8 Error patterns of native and non-native listeners' perception of speech in noise Zinszer, Benjamin D.; Riggs, Meredith; Reetzke, Rachel. - : Acoustical Society of America, 2019 BASE Show details 9 Biometric identification of listener identity from frequency following responses to speech Llanos, Fernando; Xie, Zilong; Chandrasekaran, Bharath In: J Neural Eng (2019) BASE Show details 10 The Role of the Human Auditory Corticostriatal Network in Speech Learning Feng, Gangyi; Yi, Han Gyol; Chandrasekaran, Bharath In: Cereb Cortex (2019) BASE Show details 11 Task-General and Acoustic-Invariant Neural Representation of Speech Categories in the Human Brain Feng, Gangyi; Gan, Zhenzhong; Wang, Suiping. - : Oxford University Press, 2018 BASE Show details 12 Tracing the trajectory of sensory plasticity across different stages of speech learning in adulthood Reetzke, Rachel; Xie, Zilong; Llanos, Fernando. - 2018 BASE Show details 13 Training-induced brain activation and functional connectivity differentiate multi-talker and single-talker speech training Deng, Zhizhou; Chandrasekaran, Bharath; Wang, Suiping. - 2018 BASE Show details 14 Taking attention away from the auditory modality : investigations of the effect on speech processing using machine learning Xie, Zilong. - 2018 BASE Show details 15 Role of the dorsal stream in skilled reading Younger, Jessica Renee Wise. - 2018 BASE Show details 16 Tracing the trajectory of training-induced sensory plasticity across different stages of speech learning expertise Reetzke, Rachel Denise. - 2018 Abstract: Language-specific perception of speech sounds is shaped early in life (Kuhl, 2004; Werker & Hensch, 2015); however, with training, adults can learn to perceive non-native speech sounds (Logan, Lively, & Pisoni, 1991; Wong & Perrachione, 2007). While training has been found to alter the sensory encoding of newly learned speech sound patterns (Chandrasekaran, Kraus, & Wong, 2012; Song, Skoe, Wong, & Kraus, 2008), the behavioral-relevance, time-course, and long-term retention of such sensory plasticity is unclear. Some theories argue that sensory plasticity underlying signal enhancement of trained stimuli is a critical and immediate precursor for perceptual learning (Gold, Bennett, & Sekuler, 1999; Jurjut, Georgieva, Busse, & Katzner, 2017). Other theories, like the reverse hierarchy theory, suggest a slower time-course for the emergence of training-induced sensory plasticity (Ahissar, Nahum, Nelken, & Hochstein, 2009), indicating that changes in low-level sensory encoding are an enduring outcome, rather than a driving force, of perceptual learning. In this dissertation, I examine training-induced sensory plasticity utilizing the frequency-following response (FFR), a sound-evoked potential which reflects synchronous neural activity predominantly from subcortical neural ensembles (Bidelman, 2015; Skoe & Kraus, 2010). The FFR is well-suited to examine sensory plasticity related to non-native speech learning, as it mirrors the acoustic characteristics of the incoming speech signal with high fidelity (Skoe & Kraus, 2010). Utilizing the FFR, the results of this dissertation show that language-specific sensory encoding of speech sound patterns is highly stable across multiple days of testing. Mere exposure to non-native speech sound patterns does not elicit plasticity, rather behavioral-relevance of non-native speech categories is critical for sensory plasticity to occur. Findings further demonstrate different time-courses of perceptual and sensory plasticity, with robust sensory plasticity emerging only after stable non-native categorical perception is achieved. Both perceptual changes and sensory encoding gains are retained 8-weeks post-training. Altogether these findings suggest that sensory enhancement of incoming stimulus features is not critical for early stages of speech perceptual learning. Rather, in line with the reverse hierarchy theory, enhanced sensory encoding of non-native speech sound patterns may be an enduring outcome of perceptual mastery, facilitating the maintenance of the learned behavior. ; Communication Sciences and Disorders Keyword: Categorical perception; Frequency-following response; Perceptual learning; Reverse hierarchy theory; Sensory plasticity URL: https://doi.org/10.15781/T22F7K92V http://hdl.handle.net/2152/68114 BASE Hide details 17 The Downside of Greater Lexical Influences: Selectively Poorer Speech Perception in Noise Lam, Boji P. W.; Xie, Zilong; Tessmer, Rachel. - : American Speech-Language-Hearing Association, 2017 BASE Show details 18 Audiovisual sentence recognition not predicted by susceptibility to the McGurk effect Van Engen, Kristin J.; Xie, Zilong; Chandrasekaran, Bharath. - 2017 BASE Show details 19 Hidden Markov Modeling of Frequency-Following Responses to Mandarin Lexical Tones Llanos, Fernando; Xie, Zilong; Chandrasekaran, Bharath. - 2017 BASE Show details 20 Stability and plasticity in neural encoding of linguistically relevant pitch patterns Xie, Zilong; Reetzke, Rachel; Chandrasekaran, Bharath. - : American Physiological Society, 2017 BASE Show details Page: 1 2 3 4

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