Neuroinformatics in
The Netherlands
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Education and Training |
KUN - Stichting Neurale Netwerken SNN | |||||||||||||||||||||||||||||
Computational Neuroscience (Masterphase Physics)
Content: models and theory about neurons, biological neuronal networks and information processing (Handbook of Biological Physics IV, Elsevier).
ASCI-course Adaptive Intelligence
| (organized with UVA-IAS research group, Dr. B. Krose) Topics: adaptive models for pattern recognition and data mining. Present focus on machine learning issues, but adaptable to future Neuroinformatics issues.
Toolkit for Neuroimaging: data-acquisition and analysis
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UvA - SILS Center for NeuroScience
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2nd year physics: membrane neurophysics
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3rd year biology: Computational Neuroscience (3 weeks theory, 6 weeks simulation)
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Master Neurobiology: Advanced Neuro Biology
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TUE - School for Information and Knowledge Systems SIKS
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Databases and Interactive systems
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Implementation intelligent search in XML data
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VUA - Institute for Neurosciences - Department of Experimental Neurophysiology -
Institute for Integrative Bioinformatics
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Bachelers / Masters courses in Bioinformatics
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Master's course in Neuroinformatics (6 ECTS) (Spring 2006)
UU - RMI
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Masters Neuroscience - Functional Imaging
| Masters Neuroscience - Structural Imaging
RUG - Department of Mathematics and Computing Science
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Master Courses in Scientific Visualization and Pattern Recognition
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RUG - School for Behavioral, Cognitive and Neurosciences BCN
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Courses, master classes and special lectures in Behavioral and Cognitive Neuroscience
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ONWA - Graduate School Neurosciences Amsterdam
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General Advanced Course in Neuroscience
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Course Experimental Neurophysiology
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Course in Morphometry and Stereology in Neurosciences
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UVA - Department of Psychology
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Methods in Cognitive Neuroscience
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(Advanced) Signal analysis
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Mathematical Psychology
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TUE - Advanced School for Computing and Imaging ASCI
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Yearly national PhD course Front-End Vision and Multi-Scale Image Analysis
| link (25-35 participants each year)
UT - University of Twente - Biomedical Signals and Systems - Neurotechnology
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Academic regular and individually tailored courses on Neurophysiology, Stochastic processes, Nonlinear modeling, Neurotechnology, Signal analysis, Electrophysiological Signals and Bioelectricity.
| On site training in culturing of neurons, patterning of networks, cleanroom MEA-technology. |