Christoph Von Der Malsburg
Department of Neuroscience
Frankfurt Institute for Advanced Studies
Germany
Biography
Christoph von der Malsburg (born 8 May 1942 in Kassel) is a German physicist and neuroscientist.He joined the neurobiology section of the Max-Planck-Institute for Biophysical Chemistry in Göttingen. He remained there until 1987, when he became Professor of Computer Science, Neuroscience, Physics and Psychology at the University of Southern California in Los Angeles.[1] In 1990, he founded the Institut für Neuroinformatik (Institute for Neural Computation) at Ruhr-University Bochum, together with Werner von Seelen. He commuted between the two institutions until 2007, when he joined the Frankfurt Institute for Advanced Studies as a Senior Fellow.
Research Interest
His research interests focused on processes of organization in the brain with emphasis on the structure and function of the visual system. Modeling processes of organization in the visual system, in ontogenesis, in learning, in function
Publications
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von der Malsburg, C., Phillips, W. A., & Singer, W. (Eds.). (2010). Dynamic coordination in the brain: from neurons to mind. MIT Press.
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von der Malsburg, C., Phillips, W. A., & Singer, W. (Eds.). (2010). Dynamic coordination in the brain: from neurons to mind. MIT Press.
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Jitsev, J., & von der Malsburg, C. (2010, July). Off-line memory reprocessing following on-line unsupervised learning strongly improves recognition performance in a hierarchical visual memory. In Neural Networks (IJCNN), The 2010 International Joint Conference on (pp. 1-8). IEEE.
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Bergmann, U., & Von Der Malsburg, C. (2011). Self-organization of topographic bilinear networks for invariant recognition. Neural Computation, 23(11), 2770-2797.
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Yue, X., Biederman, I., Mangini, M. C., von der Malsburg, C., & Amir, O. (2012). Predicting the psychophysical similarity of faces and non-face complex shapes by image-based measures. Vision research, 55, 41-46.
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Fernandes, T., & von der Malsburg, C. (2015). Self-organization of control circuits for invariant fiber projections. Neural computation.
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Margalit, E., Biederman, I., Herald, S. B., Yue, X., & von der Malsburg, C. (2016). An applet for the Gabor similarity scaling of the differences between complex stimuli. Attention, Perception, & Psychophysics, 78(8), 2298-2306.
