Brain Science and Engineering using Neuroimaging Modality

Our main research theme is to investigate brain functions (a) measured by various neuroimaging (NI) modalities such as magnetic resonance imaging (MRI) and electroencephalography (EEG) and (b) analyzed by various machine learning and deep learning (MLDL) techniques. We believe that the corresponding findings can be gainfully applied to potential applications such as health care systems and enhancement of human performance.

 

Now, the Question is..

Brain engineering in healthcare applications and enhancement of human performance via NI modalities and MLDL techniques are possible? 

▶ Find more details                                          


BSPL 연구실에서는 뇌영상 방법들 (MRI, EEG)을 사용하여 인간 뇌의 기능 및 구조를 연구하고 있습니다. 뇌 기능 및 구조의 연구를 기반으로 인간 뇌의 다양한 기능들을 정확히 이해하고자 합니다. 더 나아가서는, 인간 뇌기능의 분류, 뇌기능 향상을 비롯한 공학적 응용, 뇌질환의 조기 진단 및 예후 예측 등에 응용 가능성을 연구하고 있습니다.

BSPL 연구실에서는, 뇌 기능-구조의 이해, 뇌기능의 분류, 뇌기능 향상, 뇌질환의 조기진단 및 예후 예측 등이 뇌영상 방법을 기반으로 가능한지에 대한 궁극적인 질문을 바탕으로 연구하고 있습니다.



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  • [REVIEW ARTICLE] Cognitive computational neuroscience The authors reviewed recent work in the intersection of cognitive science, computational neuroscience and artificial intelligence. Computational models that mimic brain information processing during perceptual, cognitive and control tasks are ...
    Posted Sep 25, 2019, 10:41 PM by 정민영
  • [Article] New brain map could improve AI algorithms for machine vision A research team recently found new evidence revising the traditional view of the primate brain's visual system organization. This remapping of the brain could serve as a future reference ...
    Posted Sep 17, 2019, 9:05 AM by 정민영
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