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Wolfgang I. Schöllhorn
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Time scales of adaptive behavior and motor learning in the presence of stochastic perturbations
WI Schöllhorn, G Mayer-Kress, KM Newell, M Michelbrink
Human movement science 28 (3), 319-333, 2009
3062009
Explaining the unique nature of individual gait patterns with deep learning
F Horst, S Lapuschkin, W Samek, KR Müller, WI Schöllhorn
Scientific reports 9 (1), 2391, 2019
2702019
The nonlinear nature of learning-A differential learning approach
W I Schollhorn, P Hegen, K Davids
2302012
Differenzielles Lernen im Kugelstoßen (Differencial learning in shot put)
H Beckmann, WI Schöllhorn
Leistungssport 6, 44-50, 2006
229*2006
Does noise provide a basis for the unification of motor learning theories?
WI Schollhorn, H Beckmann, M Michelbrink, M Sechelmann, M Trockel, ...
International journal of sport psychology 37 (2/3), 186, 2006
221*2006
A new method to learn to start in speed skating: a differencial learning approach.
GJP Savelsbergh, WJ Kamper, J Rabius, JJ De Koning, W Schöllhorn
International journal of sport psychology 41 (4), 415, 2010
2112010
Applications of artificial neural nets in clinical biomechanics
WI Schöllhorn
Clinical Biomechanics 19 (9), 876-898, 2004
2112004
Differential training facilitates early consolidation in motor learning
D Henz, WI Schöllhorn
Frontiers in behavioral neuroscience 10, 199, 2016
2072016
Individualität-ein vernachlässigter Parameter
WI Schöllhorn
Leistungssport 29 (2), 5-12, 1999
1991999
Differential learning as a key training approach to improve creative and tactical behavior in soccer
S Santos, D Coutinho, B Gonçalves, W Schöllhorn, J Sampaio, N Leite
Research quarterly for exercise and sport 89 (1), 11-24, 2018
1862018
Identification of individual walking patterns using time discrete and time continuous data sets
WI Schöllhorn, BM Nigg, DJ Stefanyshyn, W Liu
Gait & Posture 15 (2), 180-186, 2002
1742002
Self-organizing maps for the analysis of complex movement patterns
HU Bauer, W Schöllhorn
Neural Processing Letters 5, 193-199, 1997
1671997
A quantitative dynamical systems approach to differential learning: self-organization principle and order parameter equations
TD Frank, M Michelbrink, H Beckmann, WI Schöllhorn
Biological cybernetics 98 (1), 19-31, 2008
1612008
Recognition of emotions in gait patterns by means of artificial neural nets
D Janssen, WI Schöllhorn, J Lubienetzki, K Fölling, H Kokenge, K Davids
Journal of Nonverbal Behavior 32, 79-92, 2008
1592008
Identifying individual movement styles in high performance sports by means of self-organizing Kohonen maps
WI Schöllhorn, HU Bauer
ISBS-conference proceedings archive, 574-577, 1998
1261998
Application of system dynamic principles to technique and strength training
WI Schöllhorn
Acta Academiae Olympiquea Estoniae 8, 67-85, 2000
1072000
Exploiting system fluctuations: Differential training in physical prevention and rehabilitation programs for health and exercise
W Schollhorn, H Beckmann, K Davids
Medicina 46 (6), 365-373, 2010
1042010
Differential learning in Volleyball: an instructional sequence for improving the first contact.
J Römer, WI Schöllhorn, T Jaitner, R Preiss
Sportunterricht 58 (2), 41-45, 2009
1032009
Diagnosing fatigue in gait patterns by support vector machines and self-organizing maps
D Janssen, WI Schöllhorn, KM Newell, JM Jäger, F Rost, K Vehof
Human movement science 30 (5), 966-975, 2011
1002011
The effects of an enrichment training program for youth football attackers
D Coutinho, S Santos, B Gonçalves, B Travassos, DP Wong, ...
PloS one 13 (6), e0199008, 2018
992018
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