开始时间: 04/22/2022 持续时间: 8 weeks
所在平台: CourseraArchive 课程类别: 生物与生命科学 大学或机构: Duke University(杜克大学) 授课老师: Dale Purves |
课程主页: https://www.coursera.org/course/visualpercepbrain
课程评论:没有评论
The purpose of the course is to consider how what we see is generated by the visual system.
In the 1960s and for the following few decades, it seemed all but certain that the rapidly growing body of information about the electrophysiological and anatomical properties of neurons in the primary visual pathway of experimental animals would reveal how the brain uses retinal stimuli to generate perceptions and appropriate visually guided behaviors. But despite the passage of more than fifty years, this expectation has not been met. In retrospect, the missing piece is understanding how stimuli that cannot specify the properties of physical sources can nevertheless give rise to perceptions and behaviors that are routinely successful.
Most concepts of vision propose, explicitly or implicitly, that successful visual behavior depends on recovering the sources of stimulus features either directly or by a process of statistical inference. However, given the inability of the visual system to access the physical properties of the world, these conceptual frameworks cannot account for the behavioral success of biological vision. The alternative is that the visual system automatically links simple, recurrent stimulus patterns with reproductive success, without ever recovering real world properties.
This strategy provides a different way of studying the relationship between the objective world and subjective experience, and offers a way of understanding the operating principles of visual circuitry without invoking feature detection, image representation in the brain, and/or probabilistic inference.
Thus the objectives of the course are:
- To introduce you to some fascinating perceptual phenomenology
- To make you think about how this phenomenology can be explained
- To make you consider what possible explanations imply about brain function
Introduction Module #1: The Phenomenology of What We See 1.1 Introduction 1.2 The Strange Way We See Things 1.3 Why We Don't See the World the Way It Really Is: The Inverse Problem 2.1 Visual Stimuli 2.2 Organization of the Visual System: Eye and Retina 2.3 Organization of the Visual System: The Primary Visual Pathway 3.1 Introduction 3.2 Vision as Feature Detection 3.3 Vision as Inference 3.4 Vision as Efficient Coding 3.5 Vision as a Way of Contending with the Inverse Problem 4.1 Introduction 4.2 The Discrepancies between Luminance and Lightness 4.3 Some More Complex Examples 4.4 An Empirical Explanation Based on Reproductive Success 5.1 Introduction 5.2 More about the Nature of Light 5.3 A Review of Some Relevant Retinal Biology 5.4 Why We Have Color Vision 5.5 The Strange Way We See Color: Color Contrast and Color Constancy 6.1 The Phenomenology of Perceived Geometry 6.2 Line Length: An Example of How Perceived Geometry Can be Explained 6.3 The Perception of Angles 6.4 The Perception of Object Size 7.1 Introduction 7.2 Monocularly Perceived Distance 7.3 Binocularly Perceived Depth (Stereopsis) 7.4 Explaining Stereopsis 7.5 Random Dot Stereograms and the Correspondence Problem 7.6 How and Where Does Information from the Two Eyes Come Together? 8.1 Introduction 8.2 Perceived Speed: The Flash-Lag Effect 8.3 Perceived Direction: Aperture Effects Summing Up
Module #2: Organization of the Visual System
Module #3: Conceptions of How Vision Works
Module #4: Seeing Lightness and Brightness
Module #5: Seeing Color
Module #6: Seeing Geometry
Module #7: Seeing Distance and Depth
Module #8: Seeing Motion
The course will consider how what we see is generated by the visual system, and what visual perception indicates about how the brain works. The evidence will be drawn from neuroscience, psychology, science history and philosophy. Although the discussions will be informed by visual system anatomy and physiology, the focus is on perception.