Summary

This document provides an overview of visual pathways, including the geniculostriate pathway, lateral geniculate nucleus, and primary visual cortex (V1). It describes the processing of visual information, from basic features to object recognition.  It also covers the role of areas like V4 and V5/MT in color and movement perception.

Full Transcript

# The Student's Guide to Cognitive Neuroscience ## Geniculostriate Pathway - Number of different pathways from eye to brain - Main route terminates in primary visual cortex (V1) - Route called geniculostriate pathway because it goes via lateral geniculate nucleus (LGN) and terminates in striate co...

# The Student's Guide to Cognitive Neuroscience ## Geniculostriate Pathway - Number of different pathways from eye to brain - Main route terminates in primary visual cortex (V1) - Route called geniculostriate pathway because it goes via lateral geniculate nucleus (LGN) and terminates in striate cortex (another name for V1) ## Lateral Geniculate Nucleus - Contains six layers, three for each eye. - Cells have a center-surround receptive field. - Respond to differences in light across their receptive field (e.g., presence of light in center, absence in surround) ## Primary Visual Cortex (V1) - Extracts basic information from the visual scene (e.g., edges, orientations, wavelength of light). - This information is used by later stages of processing to extract information about shape, color, movement, etc. - Single-cell recordings by Hubel and Wiesel lead to a hierarchical view of vision in which simple visual features (e.g., points of light) are combined into more complex ones (e.g., adjacent points of light may combine into a line). ## Cells of Primary Visual Cortex (V1) - Simple cells may derive their response by combining the responses of several LGN center-surround cells. - Simple cells respond to different orientations. - Complex cells may be derived by combining the responses of several simple cells. - Complex cells respond to orientation too, but have larger receptive fields and require stimulation on their entire length (simple cells also respond to points of light). - Hypercomplex cells (outside V1) may be derived by combining the responses of several complex cells. - Unlike complex cells, they are sensitive to length as well as orientation. ## Spatial Arrangement of Primary Visual Cortex (V1) - Retinotopic organization - the spatial arrangement of light on the retina is retained in the response properties of V1 neurons (except inverted). - Damage to parts of area V1 results in blindness for the corresponding region of space (e.g., hemianopia) ## Cortical and Sub-Cortical Vision - Damage to geniculo-striate route impairs conscious vision, but other aspects of vision spared (blindsight). ## Blindsight - Damage to V1 leads to a clinical diagnosis of blindness (the patient cannot consciously report objects presented in this region of space). - However, the patient is still able to make some visual discriminations in the "blind" area (e.g., orientation, movement direction) — called blindsight. - This is because there are other routes from the eye to the brain. - The geniculostriate route may be specialized for conscious vision but other routes act unconsciously. ## Area V4 and Area V5/MT - PET study: Zeki et al. (1991) - Colored images ("Mondrians") compared to grayscale equivalents. - Area V4 active, conclude this region is specialized for color. - Moving dots compared to static dots. - Area V5/MT active, conclude this region is specialized for visual movement. ## Color Perception and Area V4 - Why does the brain need a specialized color center given that the retina is sensitive to different wavelengths of light? - The problem is that wavelength depends on the composition of the light source (e.g., daylight, electric light) as well as the color of an object. - Area V4 tries to compute the color of the object taking into account variations in lighting conditions. - This is called color constancy. ## Movement Perception and Area V5/MT - Cells in V5/MT do not respond to color but 90% of them respond to particular directions of movement. - Patients with bilateral damage to this region see the world in a series of still frames. - They are said to be akinetopsic. - The patients can detect movement in other senses (e.g., hearing, touch). ## Computer Object Recognition A diagram of an image fed as input to an artificial neural network. The image is of a hummingbird. The neural network has an input layer, hidden layers, and an output layer. The output layer labels the image as dog, bird, or cat. ## Beyond Visual Cortex - Visual cortex (striate and extrastriate) extracts basic visual information - colors, movement, shapes, edges. - In order for this information to be used it needs to make contact with other types of information: - Where the object is in space (and this can't be computed from the retinal image alone). - What the object is. ## A Model of Object Recognition (cont.) - Four broad stages: 1. Early visual processing (color, motion, edges etc.) 2. Grouping of visual elements (Gestalt principles, figure-ground segmentation) 3. Matching grouped visual description onto a representation of the object stored in the brain (called structural descriptions) 4. Attaching meaning to the object (retrieved from semantic memory) - The first stage was considered in the previous lecture. ## Lateral Occipital Complex (LOC) and Shape Perception - Responds to viewing objects>textures, but real and made-up objects same (Malach et al., 1995). - Unaffected by occlusion so may compute a Gestalt object shape (Kourtzi & Kanwisher, 2001). - TMS disrupts matching by shape (Chouinard et al., 2017). ## Seeing Parts But Not Wholes: Integrative Agnosia - Disorders in object recognition are called agnosia. - Many different types of agnosia that can broadly be divided into disorders of perception (apperceptive agnosia) or meaning (associative agnosias). - Integrative agnosia is a type of apperceptive agnosia in which grouping principles are disrupted. - This prevents stored knowledge of objects being accessed, but does not prevent the patient from seeing basic visual elements (computed in stage 1). ## Routes to Object Constancy - Object constancy achieved by mapping a potentially infinite number of visual depictions on to a finite set of stored descriptions of the structure of objects. - **View-invariant:** Brain stores objects across multiple viewpoints. Object constancy by matching feature-by-feature. Role of inferior temporal and LOC. - **View-dependent:** Brain stores objects in a single viewpoint (the principal axis). Object constancy may involve mental rotation. Role of inferior temporal and parietal. ## Neural Substrates of Object Constancy - Monkey cells in IT (inferotemporal) cortex respond to very particular object attributes (e.g., corners, shapes) but are less concerned with where they are located in space (Gross, 1992). - These are ideal conditions for computing object constancy. - fMRI in humans shows that inferotemporal regions respond to the same object presented in different sizes — left region is insensitive to viewpoint but right region is viewpoint sensitive. - This is consistent with two different routes to object constancy. ## A Model of Object Recognition A diagram depicting the model of object recognition, showing the lateral occipital complex (LOC), fusiform/inferotemporal, and right parietal, and the ventral stream ("what").

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