Adaptive encoding in the visual pathway

被引:7
|
作者
Lesica, NA [1 ]
Boloori, AS [1 ]
Stanley, GB [1 ]
机构
[1] Harvard Univ, Div Engn & Appl Sci, Cambridge, MA 02138 USA
关键词
D O I
10.1088/0954-898X/14/1/307
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In a natural setting, the mean luminance and contrast of the light within a visual neuron's receptive field are constantly changing as the eyes saccade across complex scenes. Adaptive mechanisms modulate filtering properties of the early visual pathway in response to these variations, allowing the system to maintain differential sensitivity to nonstationary stimuli. An adaptive variant of the reverse correlation technique is used to characterize these changes during single trials. Properties of the adaptive reverse correlation algorithm were investigated via simulation. Analysis of data collected from the mammalian visual system demonstrates the ability to continuously track adaptive changes in the encoding scheme. The adaptive estimation approach provides a framework for characterizing the role of adaptation in natural scene viewing.
引用
收藏
页码:119 / 135
页数:17
相关论文
共 50 条
  • [1] Estimation of adaptive encoding in the visual pathway
    Lesica, NA
    Stanley, GB
    SECOND JOINT EMBS-BMES CONFERENCE 2002, VOLS 1-3, CONFERENCE PROCEEDINGS: BIOENGINEERING - INTEGRATIVE METHODOLOGIES, NEW TECHNOLOGIES, 2002, : 1999 - 2000
  • [2] Learning Dual Encoding Model for Adaptive Visual Understanding in Visual Dialogue
    Yu, Jing
    Jiang, Xiaoze
    Qin, Zengchang
    Zhang, Weifeng
    Hu, Yue
    Wu, Qi
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 30 : 220 - 233
  • [3] DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue
    Jiang, Xiaoze
    Yu, Jing
    Qin, Zengchang
    Zhuang, Yingying
    Zhang, Xingxing
    Hu, Yue
    Wu, Qi
    THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2020, 34 : 11125 - 11132
  • [4] Adaptive spatiotemporal receptive field estimation in the visual pathway
    Stanley, GB
    NEURAL COMPUTATION, 2002, 14 (12) : 2925 - 2946
  • [5] An adaptive hierarchical model of the ventral visual pathway implemented on a mobile robot
    Bray, A
    BIOLOGICALLY MOTIVATED COMPUTER VISION, PROCEEDINGS, 2002, 2525 : 548 - 557
  • [6] Adaptive techniques for simultaneous optimization of visual quality and battery power in video encoding sensors
    Liang, Yongfang
    Ahmad, Ishfaq
    Wei, Xiaohui
    2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS, 2006, : 2477 - +
  • [7] Visual perception and encoding
    Langley, K
    SPATIAL VISION, 2005, 18 (04): : 375 - 377
  • [8] On adaptive chaotic encoding
    Frey, Douglas
    IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 1998, 45 (11): : 1200 - 1205
  • [9] On adaptive chaotic encoding
    Frey, D
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 1998, 45 (11) : 1200 - 1205
  • [10] Adaptive Interlaced Encoding
    Khormuji, Majid Nasiri
    2014 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC), 2014, : 79 - 84