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Models of Neural Systems
Perception and Decision Making in Uncertain Environments
Computational Models of Primary Visual Cortex
Adaptation, Plasticity, and Coding in Sensory Systems
Models of Neural Development
Machine Learning
Approximate Reinforcement Learning
Learning Vector Quantization and Self-organizing Maps
Learning on Structured Representations
Analysis of Neural Data
MRI, EM, Autoradiography, and Multi-modal Data
Confocal Microscopy: Segmentation, Tracing and Analysis of 3D Images
Functional Imaging Methods: Source Separation Techniques
Spike Sorting and Spike Train Analysis
Applications
Information Retrieval and Social Network Analysis
Rapid Object Recognition
Applications to Problems in Bio- and Chemoinformatics
Machine Learning and Neural Networks for the Perceptually Relevant Analysis of Music
