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DESCRIPTION (provided by applicant): The long-term goal of this research is to understand the neural representations that guide speech production and perception. While speech and language are central features of human behavior, the neural mechanisms of speech processes remain poorly understood. We will build on recent advances in the neural control of visually-guided reaching to develop analogous models for speech processing. Aim 1 will employ a pseudo- word repetition identification paradigm to test the hypothesis that speech production is encoded in neural activity using an auditory-articulatory representation. Aim 2 will employ a pseudo-word identification paradigm to test the hypothesis that speech perception is encoded using an auditory-articulatory representation. Aim 3 will attempt to replicate findings in Aims 1 and 2 employing a complementary set of pseudo-words. Neural activity will be directly recorded using intracranial electrodes in human patients with pharmacologically- intractable epilepsy. I predict that neural activity in specific cortical areas supporting speech and language will exhibit invariances for particular auditory-articulatory mappings. This will be evidence that speech is processed jointly in auditory space and articulatory space and could explain the specific role of auditory signals in speech production and articulatory signals in speech perception. PUBLIC HEALTH RELEVANCE: Augmentative and alternative communication systems give people with severe communication disorders the ability to communicate. Even after a severe loss of motor function, people can maintain the ability to express themselves with language if they have a communication channel. The long-term goal of this research is to give people with severe motor disorders the ability to speak and communicate by decoding the neural representations that support speech and language processing.
期刊论文(2)
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会议论文
Manipulating stored phonological input during verbal working memory.
在口头工作记忆中操纵存储的语音输入。
DOI: 10.1038/nn.4459
发表时间: 2017-02
期刊: Nature neuroscience
影响因子: 25
作者: [Cogan GB, Iyer A, Melloni L, Thesen T, Friedman D, Doyle W, Devinsky O, Pesaran B]
通讯作者: Pesaran B
DOI: 10.1038/nature12935
发表时间: 2014-03-06
期刊: Nature
影响因子: 64.8
作者: []
通讯作者:
Coordinating Structure and Function for Neuronal Computations Mediating Context-Dependent Behavior
  • 批准号:
    10225166
  • 项目类别:
  • 资助金额:
    $127.1万
  • 财政年份:
    2021
  • 负责人:
    Bijan Pesaran
  • 依托单位:
Predictive models of brain dynamics during decision making and their validation using distributed optogenetic stimulation
  • 批准号:
    10001033
  • 项目类别:
  • 资助金额:
    $66.72万
  • 财政年份:
    2017
  • 负责人:
    Bijan Pesaran
  • 依托单位:
Optimizing flexible, active electrode arrays for chronic, large-scale recording and stimulation on the scale of 100,000 electrodes
  • 批准号:
    9549213
  • 项目类别:
  • 资助金额:
    $7.11万
  • 财政年份:
    2016
  • 负责人:
    Bijan Pesaran
  • 依托单位:
Optimizing flexible, active electrode arrays for chronic, large-scale recording and stimulation on the scale of 100,000 electrodes
  • 批准号:
    9231725
  • 项目类别:
  • 资助金额:
    $116.81万
  • 财政年份:
    2016
  • 负责人:
    Bijan Pesaran
  • 依托单位: