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检索条件"机构=Computation and Neural Systems Program 139-74"
25 条 记 录,以下是21-30 订阅
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An analog VLSI velocity sensor
An analog VLSI velocity sensor
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IEEE International Symposium on Circuits and systems (ISCAS)
作者: J. Kramer R. Sarpeshkar C. Koch Computation and Neural Systems 139-74 California Institute of Technology Pasadena CA USA
An integrated circuit that computes the velocity vector of a visual stimulus in one dimension is presented. The circuit combines optical sensors and associated electronics on a single silicon chip, processed with stan... 详细信息
来源: 评论
Correlated Neuronal Response: Time Scales and Mechanisms  8
Correlated Neuronal Response: Time Scales and Mechanisms
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8th International Conference on neural Information Processing systems, NIPS 1995
作者: Bair, Wyeth Zohary, Ehud Koch, Christof Howard Hughes Medical Inst. NYU Center for Neural Science 4 Washington Pl. Room 809 New YorkNY10003 United States Dept. of Neurobiology Institute of Life Sciences The Hebrew University Givat Ram Jerusalem91904 Israel Computation and Neural Systems Caltech 139-74 PasadenaCA91125 United States
We have analyzed the relationship between correlated spike count and the peak in the cross-correlation of spike trains for pairs of simultaneously recorded neurons from a previous study of area MT in the macaque monke...
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Distinct rhythmic locomotor patterns can be generated by a simple adaptive neural circuit: Biology, simulation, and VLSI implementation
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Journal of computational Neuroscience 1994年 第4期1卷 339-358页
作者: Ryckebusch, Sylvie Wehr, Mike Laurent, Gilles California Institute ofTechnology Biology Division Computation and Neural Systems Program Pasadena 91125 CA Mail Code 139-74 United States
Rhythmic motor patterns can be induced in leg motor neurons of isolated locust thoracic ganglia by bath application of pilocarpine. We observed that the relative phases of levators and depressors differed in the three...
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Theoretical mechanics of biological neural networks
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neural Networks 1994年 第5期7卷 853-856页
作者: William R. Softky Computation & Neural Systems Program 139-74 California Institute of Technology Pasadena CA 91125 USA
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An introduction to silicon neural analogs
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Seminars in Neuroscience 1992年 第1期4卷 83-92页
作者: Mahowald, M.A. Douglas, R.J. LeMoncheck, J.E. Mead, C.A. Division of Computation and Neural Systems 139-74 California Institute of Technology Pasadena CA 91125 United States
Synthetic neural systems that operate in real time have been fabricated using analog complementary metal-oxide-semiconductor (CMOS) very large scale integration (VLSI) technology. The analog silicon system surpasses t... 详细信息
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