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61
Muggle or magical?: Electrophysiological investigations of variation in the language-knowledge interface during reading
Troyer, Melissa. - : eScholarship, University of California, 2019
In: Troyer, Melissa. (2019). Muggle or magical?: Electrophysiological investigations of variation in the language-knowledge interface during reading. UC San Diego: Cognitive Science. Retrieved from: http://www.escholarship.org/uc/item/4672h0rd (2019)
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62
Sign and Speech Share Partially Overlapping Conceptual Representations
In: Brain and Mind Institute Researchers' Publications (2019)
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63
Anomalous morphology in left hemisphere motor and premotor cortex of children who stutter
Nieto-Castañón, Alfonso; Chang, Soo-Eun; Guenther, Frank H.. - : Oxford University Press, 2018
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64
New Directions in Treatments Targeting Stroke Recovery.
In: Stroke, vol 49, iss 12 (2018)
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65
Cerebrospinal fluid biomarkers predict frontotemporal dementia trajectory.
In: Annals of clinical and translational neurology, vol 5, iss 10 (2018)
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66
Neuroanatomy of Shared Conversational Laughter in Neurodegenerative Disease.
In: Frontiers in neurology, vol 9, iss JUN (2018)
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67
Rates of Amyloid Imaging Positivity in Patients With Primary Progressive Aphasia.
In: JAMA neurology, vol 75, iss 3 (2018)
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68
Real-time decoding of perceived and produced speech from human cortical activity
Moses, David Aaron. - : eScholarship, University of California, 2018
In: Moses, David Aaron. (2018). Real-time decoding of perceived and produced speech from human cortical activity. UC San Francisco: Bioengineering. Retrieved from: http://www.escholarship.org/uc/item/3sn3080p (2018)
Abstract: Recent research has explored the functional role of the human auditory and sensorimotor cortices in perceiving and producing speech. One key finding from these studies was the characterization of how phonetic features and phonemes, which are fundamental units of speech, are represented in the brain. In this thesis, I examine how these neural representations of speech can be used as the basis for decoding what individuals hear and say in real-time. This work leverages recent advances in human neurophysiology with epilepsy patients that have high-density electrocorticography arrays implanted on the surface of their brains as part of their clinical treatment, enabling collection of cortical activity at unprecedented spatiotemporal resolutions. Using these signals, I show that spatiotemporal feature vectors containing cortical activity in the high gamma frequency band can be used to decode speech sounds that listeners perceive by employing techniques from automatic speech recognition, contributing to an emerging field of research referred to as neural speech recognition (NSR). Next, I design and evaluate a real-time system capable of reliably classifying aurally presented sentences using phoneme-level models and spatiotemporal high gamma features. Finally, I demonstrate state-of-the-art real-time decoding of perceived and produced words and sentences in a naturalistic question-and-answer paradigm, illustrating the utility of NSR in a real-world interactive application. In addition to characterizing properties of speech that can be decoded from the human brain in real-time, these findings have practical implications for the design of speech neuroprostheses to aid patients who are unable to communicate due to paralysis.
Keyword: Biomedical engineering; Brain-computer interface; Electrocorticography; Language; Neuroprosthetics; Neurosciences; Speech
URL: http://www.escholarship.org/uc/item/3sn3080p
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69
Real-time decoding of perceived and produced speech from human cortical activity
Moses, David Aaron. - : eScholarship, University of California, 2018
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70
Large-scale associations between the leukocyte transcriptome and BOLD responses to speech differ in autism early language outcome subtypes.
In: Nature neuroscience, vol 21, iss 12 (2018)
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71
Large-scale associations between the leukocyte transcriptome and BOLD responses to speech differ in autism early language outcome subtypes.
In: Nature neuroscience, vol 21, iss 12 (2018)
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72
Developmental social communication deficits in the Shank3 rat model of phelan-mcdermid syndrome and autism spectrum disorder.
In: Autism research : official journal of the International Society for Autism Research, vol 11, iss 4 (2018)
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73
A New Frontier: The Convergence of Nanotechnology, Brain Machine Interfaces, and Artificial Intelligence.
Silva, Gabriel A. - : eScholarship, University of California, 2018
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74
Click‐evoked auditory brainstem responses and autism spectrum disorder: A meta‐analytic review
Talge, Nicole M.; Tudor, Brooke M.; Kileny, Paul R.. - : Guilford Press, 2018. : Wiley Periodicals, Inc., 2018
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75
Neural correlates of language variability in preschool-aged boys with autism spectrum disorder.
In: Autism research : official journal of the International Society for Autism Research, vol 10, iss 6 (2017)
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76
Longitudinal white matter change in frontotemporal dementia subtypes and sporadic late onset Alzheimer's disease.
Elahi, Fanny M; Marx, Gabe; Cobigo, Yann. - : eScholarship, University of California, 2017
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77
Magnetoencephalographic Imaging of Auditory and Somatosensory Cortical Responses in Children with Autism and Sensory Processing Dysfunction.
Demopoulos, Carly; Yu, Nina; Tripp, Jennifer. - : eScholarship, University of California, 2017
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78
Longitudinal white matter change in frontotemporal dementia subtypes and sporadic late onset Alzheimer's disease.
Elahi, Fanny M; Marx, Gabe; Cobigo, Yann. - : eScholarship, University of California, 2017
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79
A neural network underlying intentional emotional facial expression in neurodegenerative disease.
Gola, Kelly A; Shany-Ur, Tal; Pressman, Peter. - : eScholarship, University of California, 2017
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80
A neural network underlying intentional emotional facial expression in neurodegenerative disease.
Gola, Kelly A; Shany-Ur, Tal; Pressman, Peter. - : eScholarship, University of California, 2017
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