「神経回路網における情報処理(4)」
第18回基生研コンファレンスは「神経回路網における情報処理」の主題で昭和62年2月20日、21日に開催された。本集会は上記主題よにる4回目で、本年は情報処理の基礎となる数学理論及び生物学における応用について活発に討議した。本コンファレンスの結論は、ウィナーの非線形解析法が生物学で確立されたことである。
Program
Pogram |
Organizer: Ken-ichi Naka |
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1. |
Evolutions with Gaussian function. |
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Takeyuki Hida and Kimiaki Saito (Nagoya Univ.) |
2. |
Non-linear analysis on neuronal data. |
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Vasilis Marmarelis (Univ. of Southern California) |
3. |
Non-gaussian smoothing for the analysis of nonstationary or nonlinear system. |
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Genshiro Kitagawa (the Institute for Mathematical Statics) |
4. |
Nonlinear analysis of retinal neurons. |
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Hiroko Sakai (NIBB) |
5. |
Nonlinear analysis of spike (point process) trains. |
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Masanori Sakuranaga and Yu-Ichiro Ando (Canon Research Center and NIBB) |
6. |
Estimation of parameters in linear-nonlinear-linear system. |
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Naohiro Ishii and Katsumi Yoshine (Nagoya Inst. Tech.) |
7. |
Information processing in cockroach ocellar neurons. |
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Makoto Mizunami (Kyushu Univ.) |
8. |
Some applications of stochastic point processes for studies of ganglion cells in cat retina. |
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Minoru Tsukada (Tamagawa Univ.) |
9. |
Study of retinal dynamics through white-noise analysis. |
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Richard L. Chappell (Hunter College) |
10. |
Parallel circuits in motor pattern formation.: Role of analog signal. |
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Mitsuhiko Hisada (Hokkaido Univ.) |
11. |
Orthogonal functional series representation of a nonlinear system subject to a non-white gaussian input. |
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M. Yokoyama and Atsushi Watanabe (Tokyo Metropolitan Univ.) |
12. |
Exact othogonal kernel estimation for an arbitary input process: An extension of the Wiener theory. |
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Michael Korenberg (Queen's Univ.) |