Verfügbarkeit: Optimal variability for effective motor learning

Optimal variability for effective motor learning: a theoretical review and empirical work on movement variability

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Bibliographische Detailangaben
1. Verfasser:	Birklbauer, Jürgen 1974- (VerfasserIn)
Format:	Abschlussarbeit Buch
Sprache:	English
Veröffentlicht:	Aachen Meyer & Meyer Verlag [2019]
Schriftenreihe:	Spektrum Bewegungswissenschaft Band 9
Schlagworte:	Bewegungssteuerung Motorisches Lernen Bewegungskoordination Studenten, Wissenschaftler, Dozenten, Trainer, Vereine, Verbände, Institute, Universitäten, Forschungsgruppen movement variability motor learning sport differential learning performance spektrum sport science university practical implementations sport lesson Hochschulschrift
Online-Zugang:	Inhaltstext Inhaltsverzeichnis Inhaltsverzeichnis
Beschreibung:	600 Seiten Diagramme 21 cm, 850 g
ISBN:	9783840376511 3840376513

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Datensatz im Suchindex

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adam_text	TABLE OF CONTENTS FROM THEORETICAL BACKGROUND TO PRACTICAL IM PLICATIONS...........................................11 1 INTROD U CTION ....................................................................................................................12 2 THE CONTEXTUAL INTERFERENCE E FFE C T.......................................................................17 2.1 POTENTIAL MODERATING VARIABLES............................................................................ 19 2 .1 .1 TASK (DIS)SIM ILARITY ..................... 20 2 .1 .2 TASK COMPLEXITY...................................................................................................................21 2 .1 .3 INTERACTION OF TASK SIMILARITY AND TASK COMPLEXITY................................................... 24 2.2 A COUPLE OF ATTEMPTED EXPLANATIONS................................................................... 28 2.3 ANALYZING THE NEURAL BASIS BY MEANS OF FMRI AND T M S ................................ 32 3 THE DIFFERENTIAL TEACHING AND LEARNING APPROACH .......................................... 38 3.1 SYNERGETICS AND COORDINATION DYNAMICS ............................................................ 39 3.1 .1 SYNERGETIC PRINCIPLES DERIVED FROM INANIMATE N A TU RE .............................................41 3 .1 .2 NON-LINEAR DYNAMICS OF RHYTHMIC UNI- AND BIMANUAL COORDINATION .................... 44 3.1.2.1 MODELING COORDINATION DYNAMICS: THE CLASSIC HKB MODEL AND ITS PROGRESSION .... 47 3.1.2.2 CENTRAL NEURAL CORRELATES OF RELATIVE PHASE DYNAMICS ............................................... 53 3 .1 .3 PHASE TRANSITIONS ON SHORT TIME SCALE: BEYOND STANDARD FINGER COORDINATION......................................................................................................................... 61 3.1.3.1 FURTHER CONTROL PARAMETERS AND COORDINATION CONSTRAINTS........................................61 3.1.3.2 FROM RHYTHMIC INTERLIMB THROUGH TO DISCRETE GROSS-MOTOR COORDINATION ................ 63 3.1.3.3 INTERPERSONAL COORDINATION ........................................................................................... 66 3.1.3.4 ON SOME FURTHER COORDINATION DOMAINS OF HUMAN NATURE ....................................... 70 3 .1 .4 PHASE TRANSITIONS ON MEDIUM TIM E SCALE: MOTOR AND PERCEPTUAL LEARNING ....... 73 3.1.4.1 MOTOR LEARNING IN THE FRAMEWORK OF COORDINATION DYNAMICS....................................74 3.1.4.2 THE INFLUENCE OF INITIAL COORDINATION DYNAMICS ON LEARNING AND MEMORY..............75 3.1.4.3 FINDINGS ON GROSS-MOTOR LEARNING OF CONTINUOUS AND DISCRETE SPORT-RELATED SKILLS..................................................................................................................................81 3.1.4.4 NEURAL INDICES OF LEARNING-INDUCED CHANGES IN COORDINATION DYNAMICS ................. 83 3.1.4.5 INDIVIDUAL ROUTES OF LEARNING-INDUCED CHANGES IN PERCEPTUAL DYNAMICS ................. 85 3 .1 .5 PHASE TRANSITIONS ON LONG TIM E SCALE: DEVELOPMENTAL PSYCHOLOGY AND PSYCHOTHERAPY..................................................................................................................... 85 3.1.5.1 ANOMALOUS VARIABILITY AS A HARBINGER OF ABRUPT CHANGES IN CHILD DEVELOPMENT... 85 3.1.5.2 DETECTING AND USING PERIODS OF ANOMALOUS VARIABILITY IN PSYCHOTHERAPY................90 3.2 STOCHASTIC RESONANCE.............................................................................................94 3.2 .1 GENERIC THEORETICAL MODELS AND CHARACTERIZATION QUANTITIES .............................. 101 3 .2 .2 NOISE AND ITS DEGREE OF (NON-)DETERM INISM ............................................................ 105 3.2.2.1 VARIABILITY AMPLITUDE VERSUS RANDOMNESS USING THE EXAMPLE OF POSTURAL CONTROL............................................................................................................................108 3.2.2.2 THE DIFFERENT COLORS OF NOISE........................................................................................ 109 3.2.2.3 1/F NOISE......................................................................................................................... 116 3 .2 .3 STOCHASTIC RESONANCE AND ITS ORIGINS IN PHYSICS .................................................... 125 3 .2 .4 THE BENEFITS OF NOISE IN BIOLOGICAL FUNCTIONING: SIMULATIONS AND EXPERIMENTS FROM ION CHANNELS TO BEHAVIOR.............................................................126 3.2.4.1 OPTIMAL NOISE CAN IMPROVE NEURAL PROCESSING .......................................................... 127 3.2.4.2 OPTIMAL NOISE CAN IMPROVE SENSORY AND PERCEPTUAL PROCESSING ............................. 130 3.2.4.3 OPTIMAL NOISE CAN IMPROVE BEHAVIORAL PROCESSING IN ANIMALS AND HUMANS ......... 140 3 .2 .5 STOCHASTIC RESONANCE AND THE LINK TO (DIFFERENTIAL) MOTOR LEARNING..................148 3 .3 BIOLOGICAL AN D CO M P U TA TIO N AL N E U RO S C IE N C E ............................................................1 5 2 3.3 .1 EXTRACTING RULES OUT OF EXPERIENCES: THE ABILITY TO GENERALIZE ........................... 152 3 .3 .2 NEURAL PLASTICITY AS THE NATURAL BASE FOR THE GENERALIZATION AB ILITY..................156 3.3.2.1 THE SYNAPTIC PLASTICITY HYPOTHESIS...............................................................................158 3.3.2.2 SYNAPTIC CHANGES: DIFFERENT MECHANISM ON DIFFERENT TIME SCALES..........................162 3.3.2.3 PRINCIPLES OF PLASTICITY OR BIOLOGICAL LEARNING RULES ................................................... 169 3.3 .3 ARTIFICIAL NEURAL NETWORKS: MATHEMATICAL MODELS OF N A TU RE ............................... 174 3.3.3.1 FUNDAMENTAL COMPONENTS AND PRINCIPLES...................................................................175 3.3.3.2 BASIS NETWORK ARCHITECTURES.........................................................................................177 3.3.3.3 BASIC LEARNING RULES...................................................................................................... 180 3.3.3.4 TOPOGRAPHIC MAPPING OF COMMON FEATURES............................................................... 186 3 .3 .4 ASSOCIATIVE MEMORY, SELF-ORGANIZATION AND GENERALIZATION Q U A LITY ................... 205 3.3.4.1 DISTRIBUTED MEMORY STORAGE........................................................................................ 205 3.3.4.2 SELF-ORGANIZATION: LEARNING BY EXAMPLES....................................................................208 3.3.4.3 VALIDATING GENERALIZATION AND SOME GENERAL FACTORS OF INFLUENCE .......................... 211 3 .3 .5 MOTOR LEARNING AS THE EXTRACTION OF APPROPRIATE SENSORIMOTOR RULES ............... 213 3.3.5.1 THE NEED FOR RULE EXTRACTION EVEN IN CLOSED CONDITIONS ........................................... 213 3.3.5.2 LEARNING TO UTILIZE NON-MUSCULAR FORCES.....................................................................215 3.3.5.3 THE WHOLE MAY BE DIFFERENT FROM THE SUM OF ITS PARTS ........................................... 218 3.3.5.4 THE CHANGE OF STRUCTUREDNESS OF EXECUTION VARIABILITY DURING LEARNING .................. 219 3 .3 .6 IM PLICIT GENERALIZATION: AN ESSENTIAL ABILITY AND UBIQUITOUS PHENOMENON .... 224 3.3.6.1 PHYSICAL WORLD COMPREHENSION.....................................................................................225 3.3.6.2 FIRST LANGUAGE ACQUISITION............................................................................................ 227 3.3.6.3 FINITE-STATE ARTIFICIAL GRAMMARS ................................................................................... 232 3.3.6.4 PERCEPTUAL ILLUSIONS........................................................................................................238 3.3.6.5 SUPERSTITION: EXTRACTING RULES EVEN IF THERE ARE NONE ............................................. 242 3.3.6.6 LOGICAL REASONING EVEN BY RELATIVELY SIMPLE ANIMALS .............................................. 243 3.3.6.7 DETECTING ABSTRACT-RULE-ENCODING NEURONS IN MONKEYS ........................................... 245 3 .3 .7 INTERPOLATION IS BETTER THAN EXTRAPOLATION............................................................... 247 3.3.7.1 CONCERNING ARTIFICIAL NEURAL NETWORKS........................................................................ 247 3.3.7.2 CONCERNING HUMANS AND ANIMALS.............................................................................. 250 3 .3 .8 META-PLASTICITY: CHANGING THE LEARNING RATE OVER TIM E ........................................ 259 3.3.8.1 THE CHANGE OF PLASTICITY IN NATURAL LEARNING ............................................................. 262 3.3.8.2 META-PLASTICITY AS A FUNCTION OF THE LEARNING PROCESS ITSELF .................................... 263 3 .3 .9 A PERFECT MEMORY: IS IT REALLY DESIRABLE?..............................................................265 3.3.9.1 THE PROBLEM OF OVER- AND UNDERFITTING IN COMPUTATIONAL NETWORKS ..................... 266 3.3.9.2 WHEN MEMORIZING IDIOSYNCRATIC DETAILS BECOMES PATHO-LOGICAL ............................. 271 3.3.9.3 IMPLICATIONS FOR (MOTOR) LEARNING...............................................................................278 3 .3 .1 0 RANDOM NOISE AND ITS BENEFICIAL EFFECTS ON NEURAL NETWORK PERFORM ANCE.... 279 3.3.10.1 ADDING RANDOM NOISE TO COMPUTATIONAL NETWORKS ................................................. 279 3.3.10.2 FROM COMPUTATIONAL TO BIOLOGICAL NETWORKS ............................................................ 300 3.3.10.3 SIMULATED ANNEALING.................................................................................................... 307 3 .3 .11 SIMULATING CONTEXTUAL INTERFERENCE BY COMPUTATIONAL NETWORKS ...................... 348 3.3.11.1 EVALUATING ACQUISITION AND RETENTION..........................................................................349 3.3.11.2 EVALUATING GENERALIZATION AND RELEARNING ................................................................. 351 3.3.11.3 BEYOND THE SIMPLE MULTI-LAYER PERCEPTRON ................................................................ 355 3.3.11.4 A BRIEF RESUME...................................................................................... 359 4 SUM M ARY AND DISCUSSION......................................................................................... 361 4.1 THE SEEMING PARADOX OF REDUCING NOISE BY NOISE ......................................... 363 4.2 THE TIME-DEPENDENT STRUCTURE OF MOVEMENT TIME SERIES AND THE COUPLING BETWEEN EFFECTORS.................................................................................................. 369 4.3 THE PREDICTIVE BRAIN NOTION: FORMING A (CAUSAL) MODEL OF THE WORLD ......... 377 4.4 THE IMPROVEMENT OF NEURAL NETWORKS BY RANDOM PERTURBATIONS ................. 397 4.5 THE IMPROVEMENT OF NEURAL NETWORKS BY STRUCTURED VARIABILITY ................... 412 4.6 THE CONTEXTUAL INTERFERENCE EFFECT.....................................................................430 4.7 THE DIFFERENTIAL LEARNING APPROACH.....................................................................447 EMPIRICAL S TU D Y ....................................................................................................................468 5 STATEM ENT O F THE P ROBLEM .......................................................................................469 6 M E TH O D S ........................................................................................................................ 475 6.1 OVERALL STUDY DESIGN............................................................................................ 475 6.2 SUBJECTS................................................................................................................... 475 6.3 INTERVENTION PROGRAM............................................................................................477 6.4 TEST DESIGN AND DATA COLLECTION..........................................................................492 6.5 STATISTICAL ANALYSIS...................................................................................................493 7 R ESULTS............................................................................................................................495 7.1 TARGET SHOOTING..................................................................................................... 495 7.2 SLALOM DRIBBLING...................................................................................................... 497 7.3 TARGET SHOOTING - SLALOM DRIBBLING RELATIONSHIP ............................................. 499 8 DISCUSSION AND CONCLUSION......................................................................................501 BIBLIOGRAPHY............................................................................................................................. 511 APPENDIX A: QUESTIONNAIRE.................................................................................................598
any_adam_object	1
author	Birklbauer, Jürgen 1974-
author_GND	(DE-588)130840947
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dewey-hundreds	100 - Philosophy & psychology
dewey-ones	152 - Perception, movement, emotions & drives
dewey-raw	152.334
dewey-search	152.334
dewey-sort	3152.334
dewey-tens	150 - Psychology
discipline	Sport Psychologie Medizin
format	Thesis Book
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genre_facet	Hochschulschrift
id	DE-604.BV045485437
illustrated	Not Illustrated
indexdate	2024-07-10T08:19:22Z
institution	BVB
institution_GND	(DE-588)1065039786
isbn	9783840376511 3840376513
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-030870400
oclc_num	1083829746
open_access_boolean
owner	DE-11 DE-473 DE-BY-UBG
owner_facet	DE-11 DE-473 DE-BY-UBG
physical	600 Seiten Diagramme 21 cm, 850 g
publishDate	2019
publishDateSearch	2019
publishDateSort	2019
publisher	Meyer & Meyer Verlag
record_format	marc
series	Spektrum Bewegungswissenschaft
series2	Spektrum Bewegungswissenschaft
spelling	Birklbauer, Jürgen 1974- Verfasser (DE-588)130840947 aut Optimal variability for effective motor learning a theoretical review and empirical work on movement variability Jürgen Birklbauer Aachen Meyer & Meyer Verlag [2019] © 2019 600 Seiten Diagramme 21 cm, 850 g txt rdacontent n rdamedia nc rdacarrier Spektrum Bewegungswissenschaft Band 9 Dissertation Universität Salzburg 2015 Bewegungssteuerung (DE-588)4145160-0 gnd rswk-swf Motorisches Lernen (DE-588)4170603-1 gnd rswk-swf Bewegungskoordination (DE-588)4145145-4 gnd rswk-swf Studenten, Wissenschaftler, Dozenten, Trainer, Vereine, Verbände, Institute, Universitäten, Forschungsgruppen movement variability motor learning sport differential learning performance spektrum sport science university practical implementations sport lesson (DE-588)4113937-9 Hochschulschrift gnd-content Motorisches Lernen (DE-588)4170603-1 s Bewegungssteuerung (DE-588)4145160-0 s Bewegungskoordination (DE-588)4145145-4 s DE-604 Meyer & Meyer Fachverlag und Buchhandel GmbH (DE-588)1065039786 pbl In Beziehung stehende Ressource 9783840305566 In Beziehung stehende Ressource 9783898998536 In Beziehung stehende Ressource 9783898995887 Spektrum Bewegungswissenschaft Band 9 (DE-604)BV019291605 9 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=7786101b562644858c6d1e5b8f3dbb82&prov=M&dok_var=1&dok_ext=htm Inhaltstext B:DE-101 application/pdf http://d-nb.info/1171372043/04 Inhaltsverzeichnis DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030870400&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
spellingShingle	Birklbauer, Jürgen 1974- Optimal variability for effective motor learning a theoretical review and empirical work on movement variability Spektrum Bewegungswissenschaft Bewegungssteuerung (DE-588)4145160-0 gnd Motorisches Lernen (DE-588)4170603-1 gnd Bewegungskoordination (DE-588)4145145-4 gnd
subject_GND	(DE-588)4145160-0 (DE-588)4170603-1 (DE-588)4145145-4 (DE-588)4113937-9
title	Optimal variability for effective motor learning a theoretical review and empirical work on movement variability
title_auth	Optimal variability for effective motor learning a theoretical review and empirical work on movement variability
title_exact_search	Optimal variability for effective motor learning a theoretical review and empirical work on movement variability
title_full	Optimal variability for effective motor learning a theoretical review and empirical work on movement variability Jürgen Birklbauer
title_fullStr	Optimal variability for effective motor learning a theoretical review and empirical work on movement variability Jürgen Birklbauer
title_full_unstemmed	Optimal variability for effective motor learning a theoretical review and empirical work on movement variability Jürgen Birklbauer
title_short	Optimal variability for effective motor learning
title_sort	optimal variability for effective motor learning a theoretical review and empirical work on movement variability
title_sub	a theoretical review and empirical work on movement variability
topic	Bewegungssteuerung (DE-588)4145160-0 gnd Motorisches Lernen (DE-588)4170603-1 gnd Bewegungskoordination (DE-588)4145145-4 gnd
topic_facet	Bewegungssteuerung Motorisches Lernen Bewegungskoordination Hochschulschrift
url	http://deposit.dnb.de/cgi-bin/dokserv?id=7786101b562644858c6d1e5b8f3dbb82&prov=M&dok_var=1&dok_ext=htm http://d-nb.info/1171372043/04 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030870400&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
volume_link	(DE-604)BV019291605
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