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Models of Neural Systems

  • Mean-Field Reductions of Spiking Neural Networks [1]
  • Perception and Decision Making in Uncertain Environments [2]
  • Computational Models of Primary Visual Cortex [3]
  • Adaptation, Plasticity, and Coding in Sensory Systems [4]
  • Models of Neural Development [5]

Machine Learning

  • Deep Networks [6]
  • Approximate Reinforcement Learning [7]
  • Learning Vector Quantization and Self-organizing Maps [8]
  • Learning on Structured Representations [9]

Analysis of Neural Data

  • MRI, EM, Autoradiography, and Multi-modal Data [10]
  • Confocal Microscopy: Segmentation, Tracing and Analysis of 3D Images [11]
  • Functional Imaging Methods: Source Separation Techniques [12]
  • Spike Sorting and Spike Train Analysis [13]

Applications

  • Information Retrieval and Social Network Analysis [14]
  • Rapid Object Recognition [15]
  • Applications to Problems in Bio- and Chemoinformatics [16]
  • Machine Learning and Neural Networks for the Perceptually Relevant Analysis of Music [17]
  • VeriCon: Strategic Development and Extension of the Verification Context of Automated People and Object Counting Systems [18]
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