Transcript Ch 3 Vision - Texas A&M University

Sensation & Perception
• Ch. 3: Vision
© Takashi Yamauchi (Dept. of Psychology, Texas A&M University)
• Main topics
– convergence
– Inhibition, lateral inhibition and lightness perception
– Interactions between neurons
– Feature detectors
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Question 1
• What do these devices have in common?
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These devices make use of
electromagnetic waves
Capture electromagnetic waves and transform
them into various forms.
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What does the eye do?
 Transducing light energy into
electrical energy
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Transduction
•
•
•
•
•
 Light enters the eye
 A photon hits a receptor
 changes the shape of pigment molecules
 triggers massive chemical reactions
 generate electrical signals
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• Solar cells
(photovoltaics)
produce electricity in a
similar way as our
eyes do.
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Rods and cones
•
•
•
•
Morphology
Distribution on the retina
Dark adaptation
Spectral sensitivity
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Photo receptors: Rods and cones
• Rods have bigger outer segments than cones.
• Why?
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Outer segments capture photons
• Bigger outer segments can capture more light.
• Rods have bigger outer segments.
– Rods allow us to see in the dark.
– Cones are mainly for day vision.
– Cones are for color perception.
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How can we see objects?
• How can we see a book?
• How can we see a desk?
• Why don’t we see light?
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Reflection of light
• What we see is a reflection of light.
• Different objects reflect different
wavelengths,
–  different objects show different colors
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• Photo receptors in the eye are geared to
capture different wavelengths
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Lens: focuses light rays.
Iris: control the size of the pupil  regulating the
amount of light reaching the retina
Retina: a layer of receptor cells
Receptor cells  rods and cones
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Retina:
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• Photo receptors are facing away from the light source.
• The optic nerve carries neural information to this spot.
• What happens?
– No receptors, no vision
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Some messages: how to improve your
vision
• Massage your eye muscles
• Eat carrots
• Massage the back of your head.
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Rods and cones
•
•
•
•
Morphology
Distribution on the retina
Dark adaptation
Spectral sensitivity
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The distribution of cones and rods
on the retina
• Cones are concentrated mainly
on the fovea.
• There are no rods on the fovea.
• We move eyes to capture images
on the fovea.
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Demonstration
• Blind spot
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Rods and cones are different
• In their dark adaptation rates
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Dark adaptation rates of rods and
cones
• When you enter a dark room from outside,
you can’t see well at first. But gradually,
your eyes are adjusted to the dark, and see
better.
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• In terms of the activity of neurons,
what is the difference between
A and B ?
Any guess?
B.
A.
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Measuring the electrical
activity of a neuron
directly by inserting a
thin needle into animal
brains.
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The frequency of
action potential
0
t
0
t
The number of
action potential
emitted by a
neuron is
correlated with
Time
the intensity of
the stimulus.
Time
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t
Time
Neural Processing by
Convergence
• Why are rods more sensitive to light than
cones?
• Because rods are bigger than cones.
• Because rods and cones are connected to
ganglion cells in different manners.
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Activities of neurons can be
schematically shown as
a1 a2 a3 a4
The firing rate of neuron
B is determined by the
activation sent by neurons
a1-a4.
B
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Ganglion cell
• Ganglion cell
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• Convergence:
• The ratio of connections with two groups of
neurons.
• Rods vs. Ganglion cells
– 120:1
• Cones vs. Ganglion cells
– 6:1
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Why does this matter?
• How is this related to the higher sensitivity
of rods?
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The cones result in better detail
vision than the rods
• Visual acuity
– How far apart are two dots?
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The frequency of
action potential
0
t
0
t
The number of
action potential
emitted by a
neuron is
correlated with
Time
the intensity of
the stimulus.
Time
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t
Time
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Fig. 2.11, p.53
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• Demonstration:
• On a scratch paper, draw two vertical
lines of about 2 inches (1/2 inch apart).
• Close your left eye, and focus your
right eye on your index figure, and
move the figure.
• At some point, you can’t distinguish
the two vertical lines.
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The distribution of cones and
rods on the retina
• Cones are concentrated mainly on the fovea.
• There are no rods on the fovea.
• We move eyes to capturech 3images on the fovea.
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Visual Cortex
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The cones result in better detail
vision than the rods
• Visual acuity
– How far apart are two dots?
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Neurons
• How do you detect there are two separate
dots (lights)?
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• How do you detect there are two
separate dots (lights)?
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• Rods are bigger than cones
• Convergence:
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Lateral Inhibition & Mach bands
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Herman grid
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The frequency of
action potential
0
t
0
t
The number of
action potential
emitted by a
neuron is
correlated with
Time
the intensity of
the stimulus.
Time
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t
Time
Questions: What happens to B?
0
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Questions: What happens to B?
Excitatory
Inhibitory
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Receptive field
• The receptive field of a neuron in the visual
system is the area on the retina that
influences the firing rate (action potential) of
the neuron.
• Measuring the receptive field of a ganglion
cell
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Receptive field of a ganglion cell
Measuring the
frequency of action
potentials elicited by
this ganglion cell.
Cones
Ganglion
cell
B
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Receptive field of a ganglion cell
Ganglion
cell
Cones
12 3 4 5 6 7
B
Firing rate
of B
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3-5
2-6 2-7 59
Questions: What happens to B?
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Measuring the receptive field of a
ganglion cell
Change
the size of the stimulus and61 see
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the way a ganglion cell respond
Cones
Ganglion
cell
12 3 4 5 6 7
B
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Excitatorycenterinhibitorysurround
receptive
field
Excitatory
Inhibitory
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Questions: What happens to B?
Excitatory
Inhibitory
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Excitatory and inhibitory
connections
• What neurons transmit is electricity.
• Some neurons send positive (excitatory)
signals (+)  increase the firing rate of the
target neuron.
• some neurons send negative (inhibitory)
signals (-)  depress the firing rate of the
target neuron.
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Spatial Summation
a1
+
a2
+
a3 a4
+
+
B
=4
a1
a2
The firing rate
+
+
of neuron B
can be
expressed by
the overall
summation of
the signals that
B receives.
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c1 c2 c3 c4
a3 a4
+
+
-
-
-
-
B
=0
66
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How does this happen?
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=sum(B
=sum(B)
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Fig. 3-6, p. 50
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Fig. 3-7, p. 51
Why is this important?
•  help you to detect the edge of a figure
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Light
intensity
Perceived
Light intensity
location
location
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Physical stimuli
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Your perception
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Lateral
inhibition
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100
20
-- + + ---- + + --- + + ---- + + --
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White’s illusion
• Can you explain this by lateral inhibition?
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Application: Machine vision
• Implementing the mechanism of lateral
inhibition to a computer program.
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Image
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• Edge detection algorithm
– Zero-crossing
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