NEURAL CORRELATES OF MOTION PERCEPTION

运动感知的神经关联

• 批准号: 2033957
• 负责人: HALUK OGMEN
• 金额: $ 9.77万
• 依托单位: UNIVERSITY OF HOUSTON
• 依托单位国家: 美国
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-09-01 至 1998-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2033957
• 关键词: computational neuroscience; computer simulation; form /pattern perception; model design /development; motion perception; psychological models; psychophysics; single cell analysis

This research aims to develop neural model of preattentive visual motion perception. A deeper understanding of design principles involved in biological vision and unification of the description of perceptual neural phenomena into a common theoretical language with a small number of dynamic laws and organizational principles are expected long-range outcomes of this research project. As a result of a variety of factors-such as the movements of the eyes and that of external objects, integration time, vergence, accommodation, and non-uniform sampling the retinal image is highly transient, blurred, and distorted. Yet, this problem received very little attention, for most of the models proposed in the literature axe built around the analysis of static (or steady-state) and uniformly in focus images. Thus, a fundamental problem in vision consists of the analysis of image transients to achieve dynamic yet sharp percepts despite these blurring effects. In this proposal, we will address this question by developing continuous-time form and motion channel models. We will carry out theoretical studies by using nonlinear analysis techniques and computer simulations to test and extend the predictions of specialized neural network architectures that we proposed to explain a wide range of data on motion and form perception in invertebrate and vertebrate species. The work will consider on the one hand motion perception without complex form perception in invertebrates and on the other hand motion perception with complex form perception in vertebrates. The study of the former will consist of the refinement of our earlier work by analyzing recent data and in particular, data on object tracking by motion cues. The study of the latter will consist of a motion channel and a form channel. For the motion channel we will extend, with suitable modifications, our invertebrate model to vertebrates. The fundamental properties of our model, namely nonlinear preprocessing, transient behavior, and habituation-sensitization will be studied by considering experimental paradigms probing these properties, i.e. Fourier & non-Fourier motion, apparent motion, and segregation by motion contrast respectively. For the form channel, we will test the predictions of the model by studying related experimental data: masking data to test the role of transient-sustained interactions in dynamic form perception and deblurring data to test the proposed temporal phases and their neural correlates. We will also carry out a bifurcation analysis to establish the properties of a more general class of extraretinal positive feedback interactions of the model. Modeling and testing will be based on extensive data ranging from single cell recordings to psychophysical experiments from a variety of species.

本研究旨在建立前注意视觉运动的神经模型

项目成果

Neural network model of on-off units in the fly visual system: simulations of dynamic behavior.

飞行视觉系统中开关单元的神经网络模型：动态行为的模拟。

• DOI: 10.1007/s004220050444
• 发表时间: 1998
• 期刊: Biological cybernetics.
• 作者: Sarikaya,M;Wang,W;Ogmen,H
• 通讯作者: Ogmen,H

Quantitative studies of fly visual sustained neurons.

果蝇视觉维持神经元的定量研究。

• DOI: 10.1016/0020-7101(94)90084-1
• 发表时间: 1994
• 期刊: International journal of bio-medical computing
• 作者: Ogmen,H;Garnier,L
• 通讯作者: Garnier,L

Nonlinear alteration of transient vergence dynamics after sustained convergence.

持续收敛后瞬态聚散动力学的非线性变化。

• DOI: 10.1097/00006324-199909000-00024
• 发表时间: 1999
• 期刊: Optometry and vision science : official publication of the American Academy of Optometry
• 作者: Patel,SS;Jiang,BC;White,JM;Ogmen,H
• 通讯作者: Ogmen,H