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检索条件"机构=Computation and Neural Systems Program 139-74"
25 条 记 录,以下是11-20 订阅
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A model of early visual processing
A model of early visual processing
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11th Annual Conference on neural Information Processing systems, NIPS 1997
作者: Itti, Laurent Braun, Jocheri Lee, Dale K. Koch, Christof Computation and Neural Systems California Institute of Technology MSG 139-74 Pasadena CA 91125 United States
We propose a model for early visual processing in primates. The model consists of a population of linear spatial filters which interact through non-linear excitatory and inhibitory pooling. Statistical estimation theo... 详细信息
来源: 评论
Control of chaos by oscillating feedback
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Physical Review E 1997年 第6期56卷 6410-6410页
作者: H. G. Schuster M. B. Stemmler Computation and Neural Systems Program California Institute of Technology 139-74 Pasadena California 91125
Parametric feedback control of chaos relies on detailed knowledge of the locations of unstable periodic orbits. We show that unstable periodic orbits of dynamical systems with unknown locations but known periodicity ... 详细信息
来源: 评论
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
来源: 评论
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
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A model for associative multiplication
A model for associative multiplication
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12th Annual Conference on neural Information Processing systems, NIPS 1998
作者: Christianson, G. Björn Becker, Suzanna Department of Psychology McMaster University Hamilton ON L8S 4K1 Canada Computation and Neural Systems California Institute of Technology 139-74 Pasadena CA 91125 United States
Despite the fact that mental arithmetic is based on only a few hundred basic facts and some simple algorithms, humans have a difficult time mastering the subject, and even experienced individuals make mistakes. Associ...
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A CMOS imager with focal-plane computation for feature detection
A CMOS imager with focal-plane computation for feature detec...
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2001 IEEE International Symposium on Circuits and systems, ISCAS 2001
作者: Pesavento, Alberto Koch, Christof Dept. of Electr. Eng. California Inst. of Technol. MS 136-93 Pasadena CA 91125 United States Computation and Neural Systems Program California Institute of Technology MS 139-74 Pasadena CA 91125 United States
Feature detection and tracking is a fundamental problem in computer vision research. By detecting and tracking features in an image sequence it is possible to recover information about both the motion of the viewer an... 详细信息
来源: 评论
Robust analog VLSI motion sensor based on the visual system of the fly
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Autonomous Robots 1999年 第3期7卷 211-224页
作者: Harrison, Reid R. Koch, Christof Computation and Neural Syst. Program MS 139-74 California Institute of Technology Pasadena CA 91125 United States
Sensing visual motion gives a creature valuable information about its interactions with the environment. Flies in particular use visual motion information to navigate through turbulent air, avoid obstacles, and land s... 详细信息
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Solvable model for spatiotemporal chaos
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Physical Review E 1998年 第1期57卷 388-388页
作者: R. O. Grigoriev H. G. Schuster []Condensed Matter Physics 114-36 and Neural Systems Program 139-74 California Institute of Technology Pasadena California 91125
We show that the dynamical behavior of a coupled map lattice where the individual maps are Bernoulli shift maps can be solved analytically for integer couplings. We calculate the invariant density of the system and sh...
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Pinning Control of Spatiotemporal Chaos
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Physical Review Letters 1997年 第15期79卷 2795-2795页
作者: R. O. Grigoriev M. C. Cross H. G. Schuster Condensed Matter Physics 114-36 and Neural Systems Program 139-74 California Institute of Technology Pasadena California 91125
Linear control theory is used to develop an improved localized control scheme for spatially extended chaotic systems, which is applied to a coupled map lattice as an example. The optimal arrangement of the control sit...
来源: 评论
TOWARDS ARTICULATORY SPEECH RECOGNITION: LEARNING SMOOTH MAPS TO RECOVER ARTICULATOR INFORMATION  5
TOWARDS ARTICULATORY SPEECH RECOGNITION: LEARNING SMOOTH MAP...
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5th European Conference on Speech Communication and Technology, EUROSPEECH 1997
作者: Roweis, Sam Alwan, Abeer Computation and Neural Systems California Institute of Technology United States Department of Electrical Engineering University of California Los Angeles United States California Institute of Technology Mail Code 139-74 PasadenaCA91125 United States
We present a novel method for recovering articulator movements from speech acoustics based on a constrained form [9] of a hidden Markov model. The model attempts to explain sequences of high dimensional data using smo... 详细信息
来源: 评论