Biologically inspired sound processing using spiking neural networks:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Düsseldorf
VDI-Verl.
2007
|
| Ausgabe: | Als Ms. gedr. |
| Schriftenreihe: | Fortschritt-Berichte VDI
Reihe 8, Meß-, Steuerungs- und Regelungstechnik ; 1117 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Berichte aus dem Institut für Automatisierungstechnik der TU Darmstadt |
| Beschreibung: | IX, 116 S. Ill., graph. Darst. 21 cm |
| ISBN: | 9783185117084 |
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| adam_text | FORTSCHRITT-BERICHTE VDI REIHE 8 MESS-, STEUERUNGS- DIPT.-ING. KYRIAKOS
VOUTSAS, UND REGELUNGSTECHNIK DARMSTADT NR. 1117 BIOLOGICALLY INSPIRED
SOUND PROCESSING USING SPIKING NEURAL NETWORKS BERICHTE AUS DEM INSTITUT
FUR AUTOMATISIERUNGSTECHNIK DER TU DARMSTADT ULB_DARMSTADT CONTENTS 1
INTRODUCTION 1 1.1 IMPORTANCE OF SOUND PROCESSING 2 1.2 GOALS OF THE
THESIS 3 1.3 STRUCTURE OF THE THESIS 4 2 FIELD REVIEW 5 2.1
PSYCHOPHYSICAL BINAURAL MODELS 5 2.2 BIOLOGICALLY BASED TECHNICAL SOUND
PROCESSING SYSTEMS 6 2.3 NEURAL SIMULATORS 9 3 BIOLOGY 11 3.1 THE
AUDITORY PATHWAY 11 3.1.1 THE COCHLEA 12 3.2 BIOLOGICAL FUNDAMENTALS OF
A PERIODICITY ANALYZING NETWORK 13 3.2.1 STRUCTURAL AND FUNCTIONAL
DESCRIPTION 13 3.2.2 BIOLOGICAL EVIDENCE 15 3.3 PHYSIOLOGICAL
FUNDAMENTALS OF THE BISOLANN 16 3.3.1 THE LOCALIZATION PATHWAY 16 3.3.2
THE ITD PATHWAY - A NEW PERSPECTIVE 17 3.3.3 THE IID PATHWAY - A NEW
PERSPECTIVE 19 3.3.4 THE INFERIOR COLLICULUS - A CENTRAL PROCESSOR 21 4
MODELING THE COCHLEA AND INNER HAIR-CELLS 23 4.1 THE MEDDIS COCHLEAR
MODEL 23 4.2 THE GREENWOOD-STRUBE COCHLEAR MODEL 24 VI CONTENTS 5 MODELS
OF SPIKING NEURONS 28 5.1 FUNCTIONAL DESCRIPTION OF A NEURON 28 5.2
ARTIFICIAL AND SPIKING NEURONAL MODELS 29 5.2.1 A GENERIC SYNAPTIC MODEL
31 5.2.2 A GENERIC SOMA MODEL 32 5.2.3 FUNCTION OF THE GENERIC NEURONAL
MODEL 34 5.3 RESPONSE DIVERSITY OF THE NEURONAL MODEL 35 6 A SPIKING
NEURAL NETWORK FOR PERIODICITY ANALYSIS 39 6.1 INTRODUCTION 39 6.2
STRUCTURE AND FUNCTIONAL ORGANIZATION 41 6.2.1 THE PAN UNIT 41 6.2.2
INHIBITION AS A LOW-PASS FILTER 43 6.2.3 MODELING THE PAN 46 6.3
PARAMETERIZATION 47 6.4 SIMULATIONS AND RESULTS 48 7 A SPIKING NEURAL
NETWORK FOR SOUND SOURCE LATERALIZATION 53 7.1 INTRODUCTION 53 7.2 THE
ITD PROCESSING MODULE OF THE BISOLANN 56 7.2.1 MODELING THE SOC AND IC
TONOTOPIC SOUND LATERALIZATION MAPS. 56 7.2.2 MODELING THE COINCIDENCE
NEURONS 57 7.2.3 PARAMETERIZATION 61 7.2.4 SIMULATIONS AND RESULTS 63
7.3 THE IID PROCESSING MODULE OF THE BISOLANN 73 7.3.1 MODELING AN
IID-BASED SOUND LATERALIZATION MAP 73 7.3.2 PARAMETERIZATION 75 7.3.3
SIMULATIONS AND RESULTS 78 8 SUMMARY AND CONCLUSIONS 89 MATLAB-SIMULINK
MODELS 92 A.I THE BIO-NEURON UBRARY 92 A.2 MODEL PARAMETERIZATION 96 THE
DARMSTADT ROBOTIC HEAD 99
|
| adam_txt |
FORTSCHRITT-BERICHTE VDI REIHE 8 MESS-, STEUERUNGS- DIPT.-ING. KYRIAKOS
VOUTSAS, UND REGELUNGSTECHNIK DARMSTADT NR. 1117 BIOLOGICALLY INSPIRED
SOUND PROCESSING USING SPIKING NEURAL NETWORKS BERICHTE AUS DEM INSTITUT
FUR AUTOMATISIERUNGSTECHNIK DER TU DARMSTADT ULB_DARMSTADT CONTENTS 1
INTRODUCTION 1 1.1 IMPORTANCE OF SOUND PROCESSING 2 1.2 GOALS OF THE
THESIS 3 1.3 STRUCTURE OF THE THESIS 4 2 FIELD REVIEW 5 2.1
PSYCHOPHYSICAL BINAURAL MODELS 5 2.2 BIOLOGICALLY BASED TECHNICAL SOUND
PROCESSING SYSTEMS 6 2.3 NEURAL SIMULATORS 9 3 BIOLOGY 11 3.1 THE
AUDITORY PATHWAY 11 3.1.1 THE COCHLEA 12 3.2 BIOLOGICAL FUNDAMENTALS OF
A PERIODICITY ANALYZING NETWORK 13 3.2.1 STRUCTURAL AND FUNCTIONAL
DESCRIPTION 13 3.2.2 BIOLOGICAL EVIDENCE 15 3.3 PHYSIOLOGICAL
FUNDAMENTALS OF THE BISOLANN 16 3.3.1 THE LOCALIZATION PATHWAY 16 3.3.2
THE ITD PATHWAY - A NEW PERSPECTIVE 17 3.3.3 THE IID PATHWAY - A NEW
PERSPECTIVE 19 3.3.4 THE INFERIOR COLLICULUS - A CENTRAL PROCESSOR 21 4
MODELING THE COCHLEA AND INNER HAIR-CELLS 23 4.1 THE MEDDIS COCHLEAR
MODEL 23 4.2 THE GREENWOOD-STRUBE COCHLEAR MODEL 24 VI CONTENTS 5 MODELS
OF SPIKING NEURONS 28 5.1 FUNCTIONAL DESCRIPTION OF A NEURON 28 5.2
ARTIFICIAL AND SPIKING NEURONAL MODELS 29 5.2.1 A GENERIC SYNAPTIC MODEL
31 5.2.2 A GENERIC SOMA MODEL 32 5.2.3 FUNCTION OF THE GENERIC NEURONAL
MODEL 34 5.3 RESPONSE DIVERSITY OF THE NEURONAL MODEL 35 6 A SPIKING
NEURAL NETWORK FOR PERIODICITY ANALYSIS 39 6.1 INTRODUCTION 39 6.2
STRUCTURE AND FUNCTIONAL ORGANIZATION 41 6.2.1 THE PAN UNIT 41 6.2.2
INHIBITION AS A LOW-PASS FILTER 43 6.2.3 MODELING THE PAN 46 6.3
PARAMETERIZATION 47 6.4 SIMULATIONS AND RESULTS 48 7 A SPIKING NEURAL
NETWORK FOR SOUND SOURCE LATERALIZATION 53 7.1 INTRODUCTION 53 7.2 THE
ITD PROCESSING MODULE OF THE BISOLANN 56 7.2.1 MODELING THE SOC AND IC
TONOTOPIC SOUND LATERALIZATION MAPS. 56 7.2.2 MODELING THE COINCIDENCE
NEURONS 57 7.2.3 PARAMETERIZATION 61 7.2.4 SIMULATIONS AND RESULTS 63
7.3 THE IID PROCESSING MODULE OF THE BISOLANN 73 7.3.1 MODELING AN
IID-BASED SOUND LATERALIZATION MAP 73 7.3.2 PARAMETERIZATION 75 7.3.3
SIMULATIONS AND RESULTS 78 8 SUMMARY AND CONCLUSIONS 89 MATLAB-SIMULINK
MODELS 92 A.I THE BIO-NEURON UBRARY 92 A.2 MODEL PARAMETERIZATION 96 THE
DARMSTADT ROBOTIC HEAD 99 |
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| discipline | Physik Informatik Elektrotechnik / Elektronik / Nachrichtentechnik |
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| indexdate | 2024-07-09T21:14:14Z |
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| series2 | Fortschritt-Berichte VDI : Reihe 8, Meß-, Steuerungs- und Regelungstechnik Berichte aus dem Institut für Automatisierungstechnik der TU Darmstadt |
| spelling | Voutsas, Kyriakos Verfasser aut Biologically inspired sound processing using spiking neural networks Kyriakos Voutsas Berichte aus dem Institut für Automatisierungstechnik der TU Darmstadt Als Ms. gedr. Düsseldorf VDI-Verl. 2007 IX, 116 S. Ill., graph. Darst. 21 cm txt rdacontent n rdamedia nc rdacarrier Fortschritt-Berichte VDI : Reihe 8, Meß-, Steuerungs- und Regelungstechnik 1117 Zugl.: Darmstadt, Techn. Univ., Diss., 2006 Auditorisches System (DE-588)4802636-0 gnd rswk-swf Schallgeber (DE-588)4179371-7 gnd rswk-swf Pulsverarbeitendes neuronales Netz (DE-588)4529621-2 gnd rswk-swf Akustische Signalverarbeitung (DE-588)4283234-2 gnd rswk-swf Lokalisation (DE-588)4195351-4 gnd rswk-swf Modell (DE-588)4039798-1 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Auditorisches System (DE-588)4802636-0 s Modell (DE-588)4039798-1 s Pulsverarbeitendes neuronales Netz (DE-588)4529621-2 s Akustische Signalverarbeitung (DE-588)4283234-2 s Schallgeber (DE-588)4179371-7 s Lokalisation (DE-588)4195351-4 s DE-604 Fortschritt-Berichte VDI Reihe 8, Meß-, Steuerungs- und Regelungstechnik ; 1117 (DE-604)BV000882482 1117 HEBIS Datenaustausch Darmstadt application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016440111&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Voutsas, Kyriakos Biologically inspired sound processing using spiking neural networks Fortschritt-Berichte VDI Auditorisches System (DE-588)4802636-0 gnd Schallgeber (DE-588)4179371-7 gnd Pulsverarbeitendes neuronales Netz (DE-588)4529621-2 gnd Akustische Signalverarbeitung (DE-588)4283234-2 gnd Lokalisation (DE-588)4195351-4 gnd Modell (DE-588)4039798-1 gnd |
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| title | Biologically inspired sound processing using spiking neural networks |
| title_alt | Berichte aus dem Institut für Automatisierungstechnik der TU Darmstadt |
| title_auth | Biologically inspired sound processing using spiking neural networks |
| title_exact_search | Biologically inspired sound processing using spiking neural networks |
| title_exact_search_txtP | Biologically inspired sound processing using spiking neural networks |
| title_full | Biologically inspired sound processing using spiking neural networks Kyriakos Voutsas |
| title_fullStr | Biologically inspired sound processing using spiking neural networks Kyriakos Voutsas |
| title_full_unstemmed | Biologically inspired sound processing using spiking neural networks Kyriakos Voutsas |
| title_short | Biologically inspired sound processing using spiking neural networks |
| title_sort | biologically inspired sound processing using spiking neural networks |
| topic | Auditorisches System (DE-588)4802636-0 gnd Schallgeber (DE-588)4179371-7 gnd Pulsverarbeitendes neuronales Netz (DE-588)4529621-2 gnd Akustische Signalverarbeitung (DE-588)4283234-2 gnd Lokalisation (DE-588)4195351-4 gnd Modell (DE-588)4039798-1 gnd |
| topic_facet | Auditorisches System Schallgeber Pulsverarbeitendes neuronales Netz Akustische Signalverarbeitung Lokalisation Modell Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016440111&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV000882482 |
| work_keys_str_mv | AT voutsaskyriakos biologicallyinspiredsoundprocessingusingspikingneuralnetworks AT voutsaskyriakos berichteausdeminstitutfurautomatisierungstechnikdertudarmstadt |