On modeling the spatiotemporal processing characteristics of the retina: what is the retina for?
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English German |
| Veröffentlicht: |
Berlin
Aka
2002
|
| Schriftenreihe: | Dissertationen zur künstlichen Intelligenz
254 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Zugl.: Hamburg, Univ., Diss., 2001. - Zsfassung in dt. Sprache |
| Beschreibung: | XXXVI, 316 S. |
| ISBN: | 3898382540 1586032410 |
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| 100 | 1 | |a Wulf, Matthias |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a On modeling the spatiotemporal processing characteristics of the retina |b what is the retina for? |c Matthias Wulf |
| 264 | 1 | |a Berlin |b Aka |c 2002 | |
| 300 | |a XXXVI, 316 S. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Dissertationen zur künstlichen Intelligenz |v 254 | |
| 500 | |a Zugl.: Hamburg, Univ., Diss., 2001. - Zsfassung in dt. Sprache | ||
| 502 | |a Zugl.: Hamburg, Univ., Diss., 2001 | ||
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CONTENTS
FOREWORD
V
DANKSAGUNG
VIII
CONVENTIONS
XV
KURZFASSUNG
XVII
ABSTRACT
XVI
ZUSAMMENFASSUNG
XVIII
I
INTRODUCTION
AND
FOUNDATIONS
2
1
INTRODUCTION
AND
MOTIVATION
3
OVERVIEW
.
3
1.1.
MODELING
THE
RETINA
.
3
1.2.
CONCEPTUAL
FRAMEWORK
.
6
1.3.
THE
ROUTE
TO
BE
TAKEN
.
11
1.4.
AN
OUTLINE
OF
THIS
THESIS
.
14
SUMMARY
.
16
2
BIOLOGICAL FOUNDATIONS
17
OVERVIEW
.
17
2.1.
EARLY
STAGES
OF
THE
VISUAL
SYSTEM
.
17
2.2.
FUNCTIONAL
ORGANIZATION
OF
THE
RETINA
.
20
2.2.1
BASIC
PROPERTIES
OF
NEURONS
AND
SYNAPSES
.
21
2.2.2
PROCESSING
OF
SIGNALS
IN
THE
RETINA
.
22
2.2.3
RETINAL
CELLS
OF
PRIMATES
.
26
2.3.
EXPERIMENTAL
DATA
AND
THEIR
ACQUISITION
.
36
2.4.
RECEPTIVE
FIELDS
OF
M
AND
P
GANGLION
CELLS
.
40
2.5.
CHANGES
WITH
ECCENTRICITY
.
43
2.6.
PSYCHOPHYSICS
.
45
2.7.
RETINAL
COLOUR
VISION
.
47
2.8.
RETINAL
PATHWAYS
.
50
2.9.
ADAPTATION
.
50
2.10.
AREAS
NOT
COVERED
.
52
2.11.
DISCUSSION
.
53
SUMMARY
.
55
XII
CONTENTS
3
RETINAL
FUNCTIONALITY:
PROPOSALS,
HYPOTHESES,
AND
TESTED
ASSUMPTIONS
57
OVERVIEW
.
57
3.1.
PREREQUISITES
.
57
3.1.1
STATISTICAL
BACKGROUND
.
57
3.1.2
NATURAL
SCENES
.
60
3.1.3
SCHEME
OF
RETINAL
SIGNAL
PROCESSING
.
63
3.2.
REDUNDANCY
REDUCTION
.
64
3.2.1
REDUNDANCY
REDUCTION
HYPOTHESIS
.
64
3.2.2
PREDICTIVE
CODING
.
65
3.2.3
DECORRELATION
OF
NATURAL
SCENES
.
67
3.2.4
COMPARING
THE
APROACHES
.
69
3.3.
BEYOND
REDUNDANCY
REDUCTION
.
70
3.3.1
MAXIMIZATION
OF
INFORMATION
RATE
.
70
3.3.2
MAXIMIZATION
OF
MUTUAL
INFORMATION
.
72
3.3.3
SELF-ORGANIZATIONAL
APPROACH
.
75
3.3.4
RELATION
TO
REDUNDANCY
REDUCTION
.
76
3.4.
OPTIMAL
RECONSTRUCTION
.
77
3.5.
DEBLURRING
.
79
3.5.1
GAUSSIAN
BLUR
AND
THE
HEAT
EQUATION
.
80
3.5.2
SCALE-SPACE
.
81
3.6.
OTHER
FUNCTIONALITIES
.
83
3.7.
DISCUSSION
.
83
SUMMARY
.
84
II
MODELS
AND
CANONIZATION
85
4
RETINA
MODELS
87
OVERVIEW
.
87
4.1.
MODELING
THE
RETINA
.
87
4.1.1
CONTINUOUS
VERSUS
DISCRETE
SPATIAL
FORMULATION
.
87
4.1.2
LATERAL
INHIBITION
.
88
4.1.3
ADAPTATION
.
90
4.1.4
AGENDA
FOR
ANALYZING
THE
MODELS
.
91
4.2.
FUNCTIONAL
MODELS
.
93
4.2.1
SPATIAL
MODELS
.
93
4.2.2
SPATIOTEMPORAL
MODELS
.
ILL
4.3.
STRUCTURAL
MODELS
.
124
4.3.1
MODELING
THE
RETINA
AS
A
NETWORK
OF
DIFFERENT
CELL
TYPES
.
124
4.3.2
SILICON
RETINA
.
125
4.3.3
EXTENDED
SILICON
RETINA
.127
4.3.4
MODELING
SPECIFIC
CELL
CLASSES
AND
NETWORKS
THEREOF
.
135
4.4.
DISCUSSION
.
136
SUMMARY
.
138
5
TOWARDS
A
CANONICAL
MODEL
139
OVERVIEW
.
139
CONTENTS
XILI
5.1.
CANONIZATION:
FINDING
PATHS
BETWEEN
MODELS
.
139
5.1.1
RECURRENT
TO
NONRECURRENT
SPATIAL
LINEAR
MODELS
.
141
5.1.2
SPATIAL
TO
SPATIOTEMPORAL
FILTERS
.
144
5.2.
A
HIERARCHY
OF
MODELS
.
146
5.3.
LINEAR
DIFFUSION
.
147
5.3.1
ONEDIMENSIONAL
CASE
.
148
5.3.2
TWODIMENSIONAL
CASE
.
150
5.4.
THE
HIERARCHY
OF
MODELS
CONTINUED
.
152
5.5.
DIFFERENT
FORMULATIONS
OF
THE
MODEL
.
154
5.5.1
UNITS
.
154
5.5.2
TWODIMENSIONAL
.
155
5.5.3
ONEDIMENSIONAL
.
156
5.6.
RELATIONS
BETWEEN
THE
CANONICAL
AND
OTHER
MODELS
.
158
5.6.1
EXTENDED
SILICON
RETINA
.
158
5.6.2
SHUNTING
.
162
5.6.3
MODDOG
MODEL
.
162
5.7.
RELATION
TO
NEUROBIOLOGY:
A
REDUCED
VERSION
OF
THE
CANONICAL
MODEL
.
163
5.7.1
STRUCTURAL
ADEQUACY
OF
THE
CANONICAL
MODEL
.
164
5.8.
DISCUSSION
.
168
SUMMARY
.
169
III
ANALYSIS
OF
THE
CANONICAL
MODELS
170
6
REPRODUCTION
OF
EXPERIMENTAL
DATA
171
OVERVIEW
.
171
6.1.
FITTING
THE
MODELS
.
173
6.1.1
AN
EXTENSION
OF
THE
CANONICAL
MODELS
.
173
6.1.2
METHODS
.
174
6.1.3
RESULTS
OF
FITTING
THE
MODDOG
MODEL
.
178
6.1.4
RESULTS
OF
FITTING
THE
REDUCED
MODEL
.
179
6.1.5
RESULTS
OF
FITTING
THE
FULL
MODEL
.
186
6.1.6
DISCUSSION
.
189
6.2.
REPRODUCTION
OF
OTHER
EXPERIMENTAL
DATA
.
190
6.2.1
TEMPORAL
TRANSFER
FUNCTION
.
191
6.2.2
PULSE
RESPONSES
.
192
6.2.3
DISCUSSION
.
198
6.3.
OTHER
MODEL
RESPONSES
.
199
6.3.1
SPATIOTEMPORAL
TRANSFER
FUNCTION
.
199
6.3.2
REPRESENTATION
OF
SUSTAINED
STIMULI
.
201
6.3.3
SPATIOTEMPORAL
IMPULSE
RESPONSE
.203
6.3.4
DISCUSSION
.
206
SUMMARY
.207
7
FUNCTIONALITY:
PREDICTIVE
CODING
209
OVERVIEW
.
209
7.1.
SPATIAL
PREDICTIVE
CODING
.
209
XIV
CONTENTS
7.1.1
PREDICTION
VERSUS
FILTERING
.
211
7.1.2
ANALYZING
SPATIAL
PREDICTIVE
CODING
.213
7.1.3
CONTINUOUS
GENERALIZATION
.
221
7.1.4
DISCUSSION
.
227
7.2.
TEMPORAL
PREDICTIVE
CODING
.
228
7.2.1
TEMPORAL
PREDICTIVE
CODING
AND
DIFFUSION
.229
7.2.2
INVESTIGATING
TEMPORAL
PREDICTIVE
CODING
.230
7.2.3
CONTINUOUS
GENERALIZATION
.
236
7.2.4
DISCUSSION
.240
7.3.
SPATIOTEMPORAL
PREDICTIVE
CODING
.
240
7.3.1
RESULTS
.
241
7.3.2
EXTENDING
SPATIOTEMPORAL
PREDICTIVE
CODING
.
246
7.4.
CONCLUSIONS
.
251
SUMMARY
.252
8
FUNCTIONALITY:
FURTHER
ONES
253
OVERVIEW
.
253
8.1.
DECORRELATION
OF
NATURAL
SCENES
.253
8.1.1
INVESTIGATION
.
253
8.1.2
DISCUSSION
.255
8.2.
OPTIMAL
RECONSTRUCTION
AND
INFOMAX
.258
8.2.1
RUDERMAN
AND
VAN
HATEREN
.258
8.2.2
HAFT
/
VAN
HEMMEN
.260
8.2.3
DISCUSSION
AND
CONCLUSIONS
.263
8.3.
DEBLURRING
.265
8.4.
SCALE-SPACE
.
268
8.4.1
BEFORE
SURROUND
ONSET
.
268
8.4.2
AFTER
SURROUND
ONSET
.
269
SUMMARY
.272
9
IMPLEMENTATION
IN
CELLULAR
NEURAL
NETWORKS 273
OVERVIEW
.
273
9.1.
CELLULAR
NEURAL
NETWORKS
(CNN)
.273
9.1.1
INTRODUCTION
AND
DEFINITION
.273
9.1.2
MODELING
OF
NEURAL
SYSTEMS
.275
9.2.
THE
CANONICAL
EQUATIONS
OF
A
CNN
.278
9.3.
CNN
FORMULATION
OF
THE
CANONICAL
MODELS
.282
9.3.1
CENTER
AND
SURROUND
RESPONSES
.
282
9.3.2
THE
COMPLETE
CANONICAL
MODELS
IN
CNN
NOTATION
.
283
9.3.3
SMALL-SIGNAL
OPERATION
AND
STABILITY
.285
9.3.4
FEEDFORWARD
TEMPLATE
.287
9.4.
FUTURE
WORK
.290
SUMMARY
.290
10
CONCLUSIONS
AND
OUTLOOK
291
OVERVIEW
.
291
10.1.
OWN
CONTRIBUTIONS
TO
RETINA
MODELING
.
291
CONTENTS
XV
10.2.
RESTRICTIONS,
RESULTS,
AND
CONCLUSIONS
.
292
SUMMARY
.
293
APPENDIX
294
FOURIER
TRANSFORM
.
294
LAPLACE
TRANSFORM
.
294
SEMI-GROUP
PROPERTY
OF
THE
UNIT
GAUSSIAN
FUNCTION
.
295
BIBLIOGRAPHY
295
CURRICULUM
VITAE
311
INDEX 312 |
| any_adam_object | 1 |
| author | Wulf, Matthias |
| author_facet | Wulf, Matthias |
| author_role | aut |
| author_sort | Wulf, Matthias |
| author_variant | m w mw |
| building | Verbundindex |
| bvnumber | BV014151341 |
| classification_tum | PHY 826d DAT 717d |
| ctrlnum | (OCoLC)634296653 (DE-599)BVBBV014151341 |
| discipline | Physik Biologie Informatik |
| format | Thesis Book |
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| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV014151341 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-22T17:31:02Z |
| institution | BVB |
| isbn | 3898382540 1586032410 |
| language | English German |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-009698712 |
| oclc_num | 634296653 |
| open_access_boolean | |
| owner | DE-91G DE-BY-TUM DE-29T DE-188 |
| owner_facet | DE-91G DE-BY-TUM DE-29T DE-188 |
| physical | XXXVI, 316 S. |
| publishDate | 2002 |
| publishDateSearch | 2002 |
| publishDateSort | 2002 |
| publisher | Aka |
| record_format | marc |
| series | Dissertationen zur künstlichen Intelligenz |
| series2 | Dissertationen zur künstlichen Intelligenz |
| spelling | Wulf, Matthias Verfasser aut On modeling the spatiotemporal processing characteristics of the retina what is the retina for? Matthias Wulf Berlin Aka 2002 XXXVI, 316 S. txt rdacontent n rdamedia nc rdacarrier Dissertationen zur künstlichen Intelligenz 254 Zugl.: Hamburg, Univ., Diss., 2001. - Zsfassung in dt. Sprache Zugl.: Hamburg, Univ., Diss., 2001 Netzhaut (DE-588)4171512-3 gnd rswk-swf Nervennetz (DE-588)4041638-0 gnd rswk-swf Visuelles System (DE-588)4134101-6 gnd rswk-swf Modell (DE-588)4039798-1 gnd rswk-swf Konnektionismus (DE-588)4265446-4 gnd rswk-swf Zellulares neuronales Netz (DE-588)4510736-1 gnd rswk-swf Raum-Zeit-System (DE-588)4127858-6 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Netzhaut (DE-588)4171512-3 s Konnektionismus (DE-588)4265446-4 s DE-604 Nervennetz (DE-588)4041638-0 s Modell (DE-588)4039798-1 s Visuelles System (DE-588)4134101-6 s Raum-Zeit-System (DE-588)4127858-6 s Zellulares neuronales Netz (DE-588)4510736-1 s Dissertationen zur künstlichen Intelligenz 254 (DE-604)BV005345280 254 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009698712&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Wulf, Matthias On modeling the spatiotemporal processing characteristics of the retina what is the retina for? Dissertationen zur künstlichen Intelligenz Netzhaut (DE-588)4171512-3 gnd Nervennetz (DE-588)4041638-0 gnd Visuelles System (DE-588)4134101-6 gnd Modell (DE-588)4039798-1 gnd Konnektionismus (DE-588)4265446-4 gnd Zellulares neuronales Netz (DE-588)4510736-1 gnd Raum-Zeit-System (DE-588)4127858-6 gnd |
| subject_GND | (DE-588)4171512-3 (DE-588)4041638-0 (DE-588)4134101-6 (DE-588)4039798-1 (DE-588)4265446-4 (DE-588)4510736-1 (DE-588)4127858-6 (DE-588)4113937-9 |
| title | On modeling the spatiotemporal processing characteristics of the retina what is the retina for? |
| title_auth | On modeling the spatiotemporal processing characteristics of the retina what is the retina for? |
| title_exact_search | On modeling the spatiotemporal processing characteristics of the retina what is the retina for? |
| title_full | On modeling the spatiotemporal processing characteristics of the retina what is the retina for? Matthias Wulf |
| title_fullStr | On modeling the spatiotemporal processing characteristics of the retina what is the retina for? Matthias Wulf |
| title_full_unstemmed | On modeling the spatiotemporal processing characteristics of the retina what is the retina for? Matthias Wulf |
| title_short | On modeling the spatiotemporal processing characteristics of the retina |
| title_sort | on modeling the spatiotemporal processing characteristics of the retina what is the retina for |
| title_sub | what is the retina for? |
| topic | Netzhaut (DE-588)4171512-3 gnd Nervennetz (DE-588)4041638-0 gnd Visuelles System (DE-588)4134101-6 gnd Modell (DE-588)4039798-1 gnd Konnektionismus (DE-588)4265446-4 gnd Zellulares neuronales Netz (DE-588)4510736-1 gnd Raum-Zeit-System (DE-588)4127858-6 gnd |
| topic_facet | Netzhaut Nervennetz Visuelles System Modell Konnektionismus Zellulares neuronales Netz Raum-Zeit-System Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009698712&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV005345280 |
| work_keys_str_mv | AT wulfmatthias onmodelingthespatiotemporalprocessingcharacteristicsoftheretinawhatistheretinafor |