Transcript PPT

Some YouTube movies:
The Neocognitron Part I:
http://www.youtube.com/watch?v=Qil4kmvm2Sw
The Neocognitron Part II:
http://www.youtube.com/watch?v=oVYCjL54qoY
Automatic license plate recognition:
http://www.youtube.com/watch?v=3GJWvsUIiyk
Evolution of neural network robotic controllers:
http://www.youtube.com/watch?v=lmPJeKRs8gE
December 1, 2009
Introduction to Cognitive Science
Lecture 22: Neural Models of Mental Processes
1
Review of Neural Network Facts
• In biological systems, neurons of similar
functionality are usually organized in separate
areas (or layers).
• Often, there is a hierarchy of interconnected layers
with the lowest layer receiving sensory input and
neurons in higher layers computing more complex
functions.
• For example, neurons in macaque visual cortex
have been identified that are activated only when
there is a face (monkey, human, or drawing) in the
macaque’s visual field.
December 1, 2009
Introduction to Cognitive Science
Lecture 22: Neural Models of Mental Processes
2
“Data Flow Diagram”
of Visual Areas in
Macaque Brain
Blue:
motion perception
pathway
Green:
object recognition
pathway
December 1, 2009
Introduction to Cognitive Science
Lecture 22: Neural Models of Mental Processes
3
Receptive Fields in Hierarchical Neural Networks
neuron A
December 1, 2009
receptive field of A
Introduction to Cognitive Science
Lecture 22: Neural Models of Mental Processes
4
Receptive Fields in Hierarchical Neural Networks
neuron A
in top layer
December 1, 2009
receptive field of A in input layer
Introduction to Cognitive Science
Lecture 22: Neural Models of Mental Processes
5
Visual Attention
The attentional cueing task introduced by Michael
Posner gives insight into the dynamics of visual
attention.
Subjects are instructed to fixate on the central cross.
One of the two boxes flashes to capture the subject’s
attention (an automatic, involuntary response).
After some a short delay (stimulus onset asynchrony SOA) an asterisk appears in one of the boxes.
The subject has to report as quickly as possible in
which box the asterisk appeared.
December 1, 2009
Introduction to Cognitive Science
Lecture 22: Neural Models of Mental Processes
6
The Posner Attention Task
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December 1, 2009
Introduction to Cognitive Science
Lecture 22: Neural Models of Mental Processes
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The Posner Attention Task
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December 1, 2009
Introduction to Cognitive Science
Lecture 22: Neural Models of Mental Processes
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The Posner Attention Task
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December 1, 2009
Introduction to Cognitive Science
Lecture 22: Neural Models of Mental Processes
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The Posner Attention Task
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December 1, 2009
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Introduction to Cognitive Science
Lecture 22: Neural Models of Mental Processes
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The Posner Attention Task
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December 1, 2009
Introduction to Cognitive Science
Lecture 22: Neural Models of Mental Processes
11
The Posner Attention Task
For short SOAs (< 200 ms), subjects respond faster if
flash and asterisk appear on the same side.
 Cueing of attention to relevant location allows
faster response.
For longer SOAs, subjects respond more slowly if
flash and asterisk appear on the same side.
 Inhibition-of-Return mechanism makes attention
less likely to remain on the side of the flash until the
asterisk appears.
December 1, 2009
Introduction to Cognitive Science
Lecture 22: Neural Models of Mental Processes
12
The Fröhlich Effect
The Fröhlich effect is a localization error that occurs
when observers are asked to indicate the initial
position of a fast moving stimulus.
Compared to the actual starting location, the
perceived starting location is shifted in the direction of
motion.
This perceptual illusion was named after Friedrich
Fröhlich, a German physiologist who discovered the
phenomenon more than 80 years ago.
December 1, 2009
Introduction to Cognitive Science
Lecture 22: Neural Models of Mental Processes
13
The Fröhlich Effect
Today the most widely accepted explanation of this
effect is given by the “Asynchronous Updating Model”
(Scharlau & Neumann, 2003).
This model states that the stimulus onset triggers an
attention shift towards its location.
During the shift the stimulus changes its location, and
because the conscious perception depends on the
stimulus being attended, a later position is consciously
perceived as being the first position.
December 1, 2009
Introduction to Cognitive Science
Lecture 22: Neural Models of Mental Processes
14
The Fröhlich Effect
We tried to build a quantitative, neural model of the
relevant parts of the visual system to explain this
effect.
This model includes a vision hierarchy (simple
features and small receptive fields in lower layers,
complex features and large receptive fields in higher
layers).
In this hierarchy, processing of visual input is done in
bottom-up direction, and attentional modulation
(selective enhancement of processing) works in a topdown fashion.
December 1, 2009
Introduction to Cognitive Science
Lecture 22: Neural Models of Mental Processes
15
The Fröhlich Effect Model
December 1, 2009
Introduction to Cognitive Science
Lecture 22: Neural Models of Mental Processes
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The Fröhlich Effect - Results
December 1, 2009
Introduction to Cognitive Science
Lecture 22: Neural Models of Mental Processes
17
The Fröhlich Effect - Results
December 1, 2009
Introduction to Cognitive Science
Lecture 22: Neural Models of Mental Processes
18
The Fröhlich Effect - Results
December 1, 2009
Introduction to Cognitive Science
Lecture 22: Neural Models of Mental Processes
19