Human Neocortical Neurosolver

人类新皮质神经解算器

基本信息

  • 批准号:
    9535315
  • 负责人:
  • 金额:
    $ 50.97万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2016
  • 资助国家:
    美国
  • 起止时间:
    2016-09-30 至 2020-06-30
  • 项目状态:
    已结题

项目摘要

Abstract The field of neuroscience is experiencing unprecedented growth in the ability to record from and manipulate brain circuits in humans and in animal models. MEG/EEG are the leading methods to non-invasively record human neural dynamics with millisecond temporal resolution. However, it is still extremely difficult to interpret the underlying cellular and circuit level generators of these `macro-scale' signals without simultaneous invasive recordings. This difficulty limits the translation of MEG/EEG finding into novel principles of information processing, or into new treatment modalities for neural pathologies. As such, there is a pressing need, and a unique opportunity, to bridge the `macro-scale' single with the underlying `meso-scale” cellular and circuit level generators. This problem is ideal for neural modeling where we can have specificity at both scales. We propose to build a user-friendly GUI driven neural modeling software tool, “Human Neocortical Neurosolver (HNN)” that enables researchers without mathematical or neural modeling experience to test and develop hypotheses on the cellular and circuit level origin of their source localized MEG/EEG or ECoG data. Our software will work from a foundation of detailed anatomical and biophysical constraints to generate hypotheses as to the neural origin of observed neocortical brain signals. We will work with identified test-case users with existing MEG/EEG data to develop our model into a tool they can use to test and develop specific hypotheses on the neural origin of activity from one or multiple brain areas. We will also integrate the model with the source localization software MNE, so researchers can compute MEG/EEG source estimates and test hypotheses on the neural origin of their data in one integrated software package. We will build resources for freely using and expanding the software through the Neuroscience Gateway Portal, and online documentation and a user forum for interaction between users and developers.
摘要

项目成果

期刊论文数量(0)
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专利数量(0)

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MATTI HAMALAINEN其他文献

MATTI HAMALAINEN的其他文献

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{{ truncateString('MATTI HAMALAINEN', 18)}}的其他基金

Integrating Electromagnetic Multifocal Brain Stimulation and Recording Technologies
集成电磁多焦脑刺激和记录技术
  • 批准号:
    10038182
  • 财政年份:
    2020
  • 资助金额:
    $ 50.97万
  • 项目类别:
Integrating Electromagnetic Multifocal Brain Stimulation and Recording Technologies
集成电磁多焦脑刺激和记录技术
  • 批准号:
    10224853
  • 财政年份:
    2020
  • 资助金额:
    $ 50.97万
  • 项目类别:
Scalable Software for Distributed Processing and Visualization of Multi-Site MEG/EEG Datasets
用于多站点 MEG/EEG 数据集分布式处理和可视化的可扩展软件
  • 批准号:
    10175064
  • 财政年份:
    2018
  • 资助金额:
    $ 50.97万
  • 项目类别:
Scalable Software for Distributed Processing and Visualization of Multi-Site MEG/EEG Datasets
用于多站点 MEG/EEG 数据集分布式处理和可视化的可扩展软件
  • 批准号:
    9750274
  • 财政年份:
    2018
  • 资助金额:
    $ 50.97万
  • 项目类别:
Scalable and Sensor-Agnostic Software for Distributed Processing and Visualization of Multi-Site MEG/EEG Datasets
可扩展且与传感器无关的软件,用于多站点 MEG/EEG 数据集的分布式处理和可视化
  • 批准号:
    10442915
  • 财政年份:
    2018
  • 资助金额:
    $ 50.97万
  • 项目类别:
Human Neocortical Neurosolver
人类新皮质神经解算器
  • 批准号:
    9360102
  • 财政年份:
    2016
  • 资助金额:
    $ 50.97万
  • 项目类别:
Human Neocortical Neurosolver
人类新皮质神经解算器
  • 批准号:
    9170003
  • 财政年份:
    2016
  • 资助金额:
    $ 50.97万
  • 项目类别:
Sonoelectric tomography (SET): High-resolution noninvasive neuronal current tomography
声电断层扫描 (SET):高分辨率无创神经元电流断层扫描
  • 批准号:
    9148266
  • 财政年份:
    2015
  • 资助金额:
    $ 50.97万
  • 项目类别:
Sonoelectric tomography (SET): High-resolution noninvasive neuronal current tomography
声电断层扫描 (SET):高分辨率无创神经元电流断层扫描
  • 批准号:
    9037285
  • 财政年份:
    2015
  • 资助金额:
    $ 50.97万
  • 项目类别:
CRCNS: Advancing Computational Methods to Reveal Human Thalamocortical Dynamics
CRCNS:推进计算方法来揭示人类丘脑皮质动力学
  • 批准号:
    8837196
  • 财政年份:
    2014
  • 资助金额:
    $ 50.97万
  • 项目类别:

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