[開催中止]第158回複雑系セミナー(第29回数学連携サロン共催) Spatiotemporal analysis: complexity viewed from one brain into another

開催日時
2012年   7月 23日 15時 00分 ~ 2012年   7月 23日 17時 00分
場所
中央キャンパス電子科学研究所5F講義室南(北12条西7丁目)
講演者
Emmanuelle Tognoli (Center for Complex Systems and Brain Sciences, Florida Atlantic University)
 
本セミナーは講演者が来日できなくなったため、中止いたします。

参加を御予定くださった皆様には誠に申し訳ございません。

複雑系セミナーの一覧
http://www.math.sci.hokudai.ac.jp/tag/complex_systems_seminar

アブストラクト
Understanding nature's law requires a human mind to grasp and interpret patterns and regularities. These patterns can be mapped onto different systems of the human mind: numbers, geometries, equations, words, images, symbols, etc... The following discusses attempts to understand a complex system such as the brain using visualization and interpretation of the coordination dynamics of its constituting parts. The challenge is vast: the human brain is believed to be so complex that some thinkers questioned whether it could ever understand itself. Rather than avoiding this inherent paradox, we embraced it and enquired about the brain that understands prior to asking about the brain-to-be-understood. Brain function can be framed as a spatio-temporal problem. For the typical human observer, space and time may be perceived as different currencies of nature and often treated separately or in turn, but our recent efforts went into exposing brain activity in time and space simultaneously; a 4-dimensional problem at the very least. To achieve this spatiotemporal analysis, natural human perception could not be relied upon: it is bounded to a maximum of 3-dimensions. To circumvent this ceiling, the trick was to understand how order emerges from the human mind and to reroute spatial and temporal information to perceptual channels that could run in concert. This effort gave rise to a 4-dimensional colorimetric visualization of spatio-temporal data, a tool that assists an experimentalist to understand empirical and modeling data from yet unseen corners of their spatiotemporal complexity. Now peering into the brain-to-be-understood, we could readily visualize its ever-changing activity in spacetime, and I will show how distinctly ephemeral are its functional patterns as compared to those from systems that exhibit lesser complexity. The framework opened up the possibility to read functional states of the brain from continuous records of its activity; and also to come to grip with testing theories of brain self-organization. The upcoming challenge is to decipher the mysterious language of the brain and maybe someday to establish fundamental laws of human minds.

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