LI Wenshi. Allometric Power Law Modeling on Brain Chemistry Complexity in Self Stimulus Condition of Calm, Smile, Truth and Lie[J]. Chinese Journal of Electronics, 2011, 20(1): 98-100.
Citation: LI Wenshi. Allometric Power Law Modeling on Brain Chemistry Complexity in Self Stimulus Condition of Calm, Smile, Truth and Lie[J]. Chinese Journal of Electronics, 2011, 20(1): 98-100.

Allometric Power Law Modeling on Brain Chemistry Complexity in Self Stimulus Condition of Calm, Smile, Truth and Lie

  • Received Date: 2010-02-01
  • Rev Recd Date: 2010-07-01
  • Publish Date: 2011-01-05
  • Brain chemistry is more important than EEG studies in cerebral mechanism research for endogenous nature. Following brain science study paradigm in self stimulus condition of calm, smile, truth and lie, this paper grasps brain chemistry complexity through neurotransmitters’ super-slow spectrums and their allometric power law features. First, one practical microsystem is constructed based on ARM7-CPU embedded into db4 wavelet analysis in tendem of multy-fractal extracting. Then five subjects are invited and tested in processing near infrared 940 nm otopoint-signals. Nonlinear power law model was extracted in form of Ps = Pc∧a with base-line of calm state, wherein a1 fitted with wavelet analysis signature, and a2 with wavelet analysis in tendem of multy-fractal feature. The interesting results include that a2 means are decreasing basicly in self stimulus condition of smile, truth and lie versus calm. The preliminary conclusion suggests that automatic scorings are feasible for emotion and cognition such as smile, truth and lie versus base-line of calm, in reason of more details mapping brain neurotransmitters and fractal synaptics in vitro.
  • loading
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (634) PDF downloads(717) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return