Orientation tuning: strongest response to one orientation

Slides:



Advertisements
Similar presentations
Perception Chapter 4 Visual Process beyond the Retina
Advertisements

Chapter 4: The Visual Cortex and Beyond
TESS MATTSON, CAITLIN SKLUZACEK, BLAINE FEIA, PENG JIAO LI, LUCAS MENDEN, JAMES LOONEN, CHAARISSA ROMERO Striate Receptive Fields.
The Primary Visual Cortex
What do we know about Primary Visual Cortex (V1)
The Visual System: Feature Detection Model Lesson 17.
Central Visual Processes. Anthony J Greene2 Central Visual Pathways I.Primary Visual Cortex Receptive Field Columns Hypercolumns II.Spatial Frequency.
Erin Berrisford, Lisa Fenske, Adam Justin, Sara Duxbury, Joe Tuzinski, & Ryan Mastellar.
3 Spatial Vision: From Spots to Stripes. Visual Acuity: Oh Say, Can You See? The King said, “I haven’t sent the two Messengers, either. They’re both gone.
Visual Fields KW Fovea on Cortex KW 8-22 Occipital Lobes are Independent KW 8-24.
Chapter 6 The Visual System
Higher Processing of Visual Information: Lecture III
Question Examples If you were a neurosurgeon and you needed to take out part of the cortex of a patient, which technique would you use to identify the.
1 Biological Neural Networks Example: The Visual System.
Exam 1 week from today in class assortment of question types including written answers.
Move Retinal Position: Allows you to view different regions of the retina. Location refers to the center of screen in arbitrary units Retinal region that.
Brain Theory and Artificial Intelligence
Edge Detection Lecture 2: Edge Detection Jeremy Wyatt.
Visual Cognition I basic processes. What is perception good for? We often receive incomplete information through our senses. Information can be highly.
Color vision Different cone photo- receptors have opsin molecules which are differentially sensitive to certain wavelengths of light – these are the physical.
Human Sensing: The eye and visual processing Physiology and Function Martin Jagersand.
Higher Processing of Visual Information: Lecture II
The visual system Lecture 1: Structure of the eye
Laurent Itti: CS599 – Computational Architectures in Biological Vision, USC Lecture 5: Introduction to Vision 2 1 Computational Architectures in.
Visual Cortex: V1. V1 lateral view medial view calcarine sulcus.
1B50 – Percepts and Concepts Daniel J Hulme. Outline Cognitive Vision –Why do we want computers to see? –Why can’t computers see? –Introducing percepts.
1 Perception, Illusion and VR HNRS 299, Spring 2008 Lecture 9 Visual Development Thanks to website at University of Calgary:
Another viewpoint: V1 cells are spatial frequency filters
Chapter 4: The Visual Cortex and Beyond
1 Computational Vision CSCI 363, Fall 2012 Lecture 10 Spatial Frequency.
1 Computational Vision CSCI 363, Fall 2012 Lecture 3 Neurons Central Visual Pathways See Reading Assignment on "Assignments page"
THE VISUAL SYSTEM: EYE TO CORTEX Outline 1. The Eyes a. Structure b. Accommodation c. Binocular Disparity 2. The Retina a. Structure b. Completion c. Cone.
The Visual Cortex: Anatomy
Occipital Lobe Videos: –Brain modules 8,9,10, 11 –Consciousness- Blindsight.
Lecture 2b Readings: Kandell Schwartz et al Ch 27 Wolfe et al Chs 3 and 4.
Chapter 3: Neural Processing and Perception. Neural Processing and Perception Neural processing is the interaction of signals in many neurons.
Visual Computation I. Physiological Foundations
Keith Clements Introduction to Neuroscience
Understanding Psychophysics: Spatial Frequency & Contrast
Outline Of Today’s Discussion 1.LGN Projections & Color Opponency 2.Primary Visual Cortex: Structure 3.Primary Visual Cortex: Individual Cells.
1 Computational Vision CSCI 363, Fall 2012 Lecture 12 Review for Exam 1.
1 Perception and VR MONT 104S, Spring 2008 Lecture 3 Central Visual Pathways.
Processing visual information - pathways
Psychology 304: Brain and Behaviour Lecture 28
Vision III: Cortical mechanisms of vision
Vision.
Visual Sensory System.
Cognitive Architectures
Brodmann’s Areas. Brodmann’s Areas The Primary Visual Cortex Hubel and Weisel discovered simple, complex and hypercomplex cells in the striate.
Dr.safeyya Adeeb Alchalabi
Neuroscience: Exploring the Brain, 3e
BY DR. MUDASSAR ALI ROOMI (MBBS, M. Phil.)
Audition and Vision.
Early Processing in Biological Vision
Visual Cortex   Vision Science Lectures in Ophthalmology Curtis Baker.
Optic Nerve Projections
Physiology of Photoreceptors Vertebrate photoreceptors hyperpolarize and produce graded potentials Photoreceptors use glutamate as transmitter.
PSYCH 2220 Perception Lecture 5.
Space Perception and Binocular Vision
Spatial Vision (continued)
Mind, Brain & Behavior Wednesday February 12, 2003.
Vision: In the Brain of the Beholder
Central Visual Pathways
The Visual System: Feature Detection Model
Fundamentals of Sensation and Perception
The Temporal Correlation Hypothesis of Visual Feature Integration
Outline Announcements Human Visual Information Processing
Outline Human Visual Information Processing – cont.
Week 14: Neurobiology of Vision Part 2
Edge Detection via Lateral Inhibition
Presentation transcript:

Orientation tuning: strongest response to one orientation wolfe2e-fig-03-16-0.jpg Striate cortex is a collection of filters

Receptive Fields in Striate Cortex How are the circular receptive fields in the LGN transformed into the elongated receptive fields in striate cortex? Ganglion cells Cortical cell

Receptive Fields in Striate Cortex Many cortical cells respond especially well to: Moving lines Bars Edges Gratings Direction of motion

How is information from 2 eyes fused into 1 perception? Each LGN cell responds to one eye or the other, never to both Each striate cortex cell can respond to input from both eyes By the time information gets to primary visual cortex, inputs from both eyes have been combined Cortical neurons tend to have a preferred eye, however. They tend respond more vigorously to input from one eye or the other This is called OCULAR DOMINANCE

Receptive Fields in Striate Cortex Simple cells come in two flavors:

(regardless of exact location of stimulus) Figure 3.20 A simple cell and a complex cell might both be tuned to the same orientation and stripe width, but might respond differently wolfe2e-fig-03-20-0.jpg (regardless of exact location of stimulus)

Receptive Fields in Striate Cortex End stopping: Some cells prefer bars of light of a certain length [8:20]

Columns and Hypercolumns Column: A vertical arrangement of neurons Within each column, all neurons have the same orientation tuning Hubel and Wiesel: Found systematic, progressive change in preferred orientation; all orientations were encountered in a distance of about 0.5 mm

Columns and Hypercolumns Hypercolumn: A 1-mm block of striate cortex containing “all the machinery necessary to look after everything the visual cortex is responsible for, in a certain small part of the visual world” (Hubel, 1982) Each hypercolumn contains cells responding to every possible orientation (0 degrees–180 degrees), with one set preferring input from the left eye and one set preferring input from the right eye

Figure 3.23 Model of a hypercolumn showing two ocular dominance columns (one for each eye), many orientation columns 1 mm wolfe2e-fig-03-23-0.jpg

Selective Adaptation: The Psychologist’s Electrode We study adaptation in humans because invasive techniques are ethically questionable Method of Adaptation: The diminishing response of a sense organ to a sustained stimulus An important method for deactivating groups of neurons without surgery If presented with a stimulus for an extended period of time, the brain adapts to it and stops responding

Figure 3.25 The psychologist’s electrode: How selective adaptation may alter neural responses and perception (Part 1) wolfe2e-fig-03-25-1.jpg

Figure 3.25 The psychologist’s electrode: How selective adaptation may alter neural responses and perception (Part 2) wolfe2e-fig-03-25-2.jpg

Selective Adaptation: The Psychologist’s Electrode This demonstration will allow you to experience selective adaptation for yourself

Selective Adaptation: The Psychologist’s Electrode Tilt aftereffect: Perceptual illusion of tilt, provided by adapting to a pattern of a given orientation Supports the idea that the human visual system contains individual neurons selective for different orientations

Selective Adaptation: The Psychologist’s Electrode Selective adaptation for spatial frequency: Evidence that human visual system contains neurons selective for spatial frequency

orientation and spatial frequency are coded separately (d) Figure 3.27 A demonstration of adaptation that is specific to spatial frequency (SF) wolfe2e-fig-03-27-0.jpg orientation and spatial frequency are coded separately (d)

Selective Adaptation: The Psychologist’s Electrode (a) Shows selective adaptation to a frequency of 7 cycles/degree. There is a dip in the contrast sensitivity function at that spatial frequency (b) Shows how the threshold changed at the adapted frequency (c) Shows where the contrast sensitivity function comes from

Selective Adaptation: The Psychologist’s Electrode Human vision is coded in spatial-frequency channels Why would the visual system use spatial-frequency filters to analyze images?

Figure 3.30 A complete image (a) and simulations of the high-frequency (b) and low-frequency (c) components of that image wolfe2e-fig-03-30-0.jpg

Selective Adaptation: The Psychologist’s Electrode If it is hard to tell who this famous person is, try squinting or defocusing the projector

The Development of Spatial Vision How can you study the vision of infants who can’t yet speak? Infants prefer to look at more complex stimuli The forced-choice preferential-looking paradigm Visual evoked potentials

The Development of Spatial Vision Young children are not very sensitive to high spatial frequencies Visual system is still developing Cones and rods are still developing and taking final shape Retinal ganglion cells are still migrating and growing connections with the fovea The fovea itself has not fully developed until about 4 years of age

Figure 3.32 Assessing vision in infants wolfe2e-fig-03-32-0.jpg

Next time: from edges and contours to perceiving objects!