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Prof. Dr. Laurenz Wiskott

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Teaching Material

Kurse / Courses

Schools
10. - 12.03.2009 Slow Feature Analysis: Theory and Applications (special course SC3 at the Interdisciplinary College IK2009 in Günne, Germany)
13. - 17.08.2007 Slowness, sparseness, statistical independence: principles of unsupervised learning in visual processing (at the FIAS Summer School in Frankfurt, Germany)
05. - 07.03.2004 Neural Computation (basic course BC2 at the Interdisciplinary College IK2004 in Günne, Germany)
RUB-INI
SS 2018 Mathematics for Modeling and Data Analysis (310503/310513)
SS 2018 Computational Neuroscience: Vision and Memory (310504/310514)
WS 2017/2018 Machine Learning: Unsupervised Methods (310003/310013)
SS 2017 Mathematics for Modeling and Data Analysis (310503/310513)
SS 2017 Computational Neuroscience: Vision and Memory (310504/310514)
03.02. - 03.03.2017 Theoretical Neuroscience (IGSN graduate program)
WS 2016/2017 Machine Learning: Unsupervised Methods (310003/310013)
SS 2016 Mathematics for Modeling and Data Analysis (310503/310513)
SS 2016 Computational Neuroscience: Vision and Memory (310504/310514)
29.01. - 26.02.2016 Theoretical Neuroscience (IGSN graduate program)
WS 2015/2016 Machine Learning: Unsupervised Methods (310003/310013)
SS 2015 Mathematics for Modeling and Data Analysis (310503/310513)
SS 2015 Computational Neuroscience: Vision and Memory (310504/310514)
30.01. - 27.02.2015 Theoretical Neuroscience (IGSN graduate program)
WS 2014/2015 Machine Learning: Unsupervised Methods (310003/310013)
SS 2014 Mathematics for Modeling and Data Analysis (310503/310513)
SS 2014 Computational Neuroscience: Vision and Memory (310504/310514)
31.01. - 28.02.2014 Theoretical Neuroscience (IGSN graduate program)
WS 2013/2014 Machine Learning: Unsupervised Methods (310003/310013)
SS 2013 Mathematics for Modeling and Data Analysis (310503/310513)
SS 2013 Computational Neuroscience: Vision and Memory (310504/310514)
01.02. - 01.03.2013 Theoretical Neuroscience (IGSN graduate program)
WS 2012/2013 Machine Learning: Unsupervised Methods (310003/310013)
SS 2012 Mathematics for Modeling and Data Analysis (310503/310513)
SS 2012 Computational Neuroscience: Vision and Memory (310504/310514)
20.01. - 17.02.2012 Theoretical Neuroscience (IGSN graduate program)
WS 2011/2012 Machine Learning: Basic Course (310003/310013)
SS 2011 Mathematics for Modeling and Data Analysis (310503/310513)
SS 2011 Computational Neuroscience: Vision and Memory (310504/310514)
21.01. - 18.02.2011 Theoretical Neuroscience (IGSN graduate program)
WS 2010/2011 Machine Learning: Basic Course (310003)
WS 2010/2011 Seminar: Model-based Data Analysis (310023)
SS 2010 Mathematics for Modeling and Data Analysis (310003)
SS 2010 Computational Neuroscience: Vision and Memory (310203)
SS 2010 Seminar: Model-based Data Analysis (310023)
22.01. - 19.02.2010 Theoretical Neuroscience (IGSN graduate program)
WS 2009/2010 Machine Learning: Basic Course
WS 2009/2010 Seminar: Model-based Data Analysis
SS 2009 Mathematische Methoden der Neuroinformatik (310003)
SS 2009 Computational Neuroscience: Vision and Memory (310203)
SS 2009 Seminar: Model-based Data Analysis
HU-ITB
SS 2009 Models of Higher Brain Functions
WS 2008/2009 Models of Neural Systems (3110451)
29.09. - 02.10.2008 Computational Neuroscience (Mind & Brain graduate program)
29.09. - 10.10.2008 Mathematics for Theoretical Biologists
SS 2008 Mathematik für Biolog(inn)en III (31179)
SS 2008 Models of Higher Brain Functions (31111)
SS 2008 Computational Neuroscience - Oberseminar (31173)
WS 2007/2008 Neural Networks and Machine Learning
WS 2007/2008 Models of Neural Systems (31064 [BXY-27], 31143)
WS 2007/2008 23 Problems in Systems Neuroscience - Oberseminar
WS 2007/2008 Computational Neuroscience - Oberseminar
SS 2007 Mathematik für Biolog(inn)en III (31032)
SS 2007 Models of Higher Brain Functions (31200)
SS 2007 Computational Neuroscience - Oberseminar (31192)
WS 2006/2007 Datenanalyse und stochastische Prozesse (31164)
WS 2006/2007 Models of Neural Systems
WS 2006/2007 Computational Neuroscience - Oberseminar
SS 2006 Mathematik für Biolog(inn)en III (31031)
SS 2006 Neuronale Netze und Maschinelles Lernen (31192)
SS 2006 Computational Neuroscience - Oberseminar (31196)
WS 2005/2006 Datenanalyse und stochastische Prozesse (31162)
WS 2005/2006 Computational Neuroscience III: Theory of Neuronal Systems (31161)
WS 2005/2006 Computational Neuroscience - Oberseminar (31170)
SS 2005 Mathematik für Biolog(inn)en III (31030)
SS 2005 Computational Neuroscience - Oberseminar (31197)
WS 2004/2005 Datenanalyse und stochastische Prozesse
WS 2004/2005 Computational Neuroscience - Oberseminar (31178)
SS 2004 Mathematik für Biolog(inn)en III (31028)
SS 2004 Computational Neuroscience - Oberseminar (31187)
WS 2003/2004 Datenanalyse und stochastische Prozesse
WS 2003/2004 Computational Neuroscience III: Theory of Neural Networks
SS 2003 Computational Neuroscience V: Seminar on ''Learning and Memory''
SS 2003 Mathematik für Biologen III
WS 2002/2003 Künstliche neuronale Netze
SS 2002 Mathematik für Biologen III
WS 2001/2002 Theorie neuronaler Netzwerke
SS 2001 Neuronale Codierung: Datenanalyse und Informationstheorie
WS 2000/2001 Mathematik für Biologen I - Übungen
SS 2000 Spielen lernen
WS 1999/2000 Theorie neuronaler Systeme

Laurenz Wiskott, http://www.neuroinformatik.ruhr-uni-bochum.de/PEOPLE/wiskott/