[情報] 演講 黃從仁 台大 07/28
講題主題: Computational cognitive neuroscience: From neurons to behavior
時間: 99.7.28(星期三)下午2:20~3:20
地點: 國立台灣大學心理系北館N106(北A教室)
演講學者:
Dr. Tsung-Ren Huang (黃從仁)
Department of Psychology
Department of Cognitive and Neural Systems
Boston University
演講摘要：
How does the brain control behavior? What do neural circuits compute?
The field of cognitive neuroscience is thriving due to advances of various
methodologies such as neuroanatomy, neurophysiology, neuroimaging,
and cognitive psychology. Given the rapid aggregation of empirical
observations in these areas, an emerging challenge is to provide a
unified theory that relates different levels of analysis, explaining
how neural systems in the brain give rise to intelligent human behavior.
Modern computational cognitive neuroscience endeavors to delineate neural
representations and mechanisms from a theoretical perspective. It has
offered new insights beyond brain/behavior correlations. One example is
the application of machine learning/pattern recognition, which underlies
recent development of brain-computer interfaces for patients and healthy
individuals, and becomes a popular tool for probing neural representations
in brain imaging studies. Another example is the class of neural models
that construct system-level architectures from the first principles such
as local computation and competitive normalization. These computational
models not only quantitatively simulate cognitive functions, but also
clarify seemingly conflicting or unrelated phenomena in a coherent
framework with plausible neural mechanisms.
In this presentation, differences among computational approaches in
(cognitive) neuroscience will be contrasted. The past, present, and
future of computational cognitive neuroscience will be discussed in
light of several research lines in the field.
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