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Christoph von der Malsburg | |
|---|---|
 Christoph von der Malsburg | |
| Born | 8 May 1942 |
| Nationality | German |
| Alma mater | University of Heidelberg |
| Scientific career | |
| Fields | Neuroscientist |
| Institutions | University of Southern California |
| Thesis | Bestimmung der π−-Masse (1970) |
| Doctoral students | Ladan Shams |
Christoph von der Malsburg (born 8 May 1942) is a German physicist and neuroscientist.
von der Malsburg obtained his PhD with a concentration in elementary particle physics at CERN and the University of Heidelberg in 1970.
He joined the neurobiology department of the Max-Planck-Institute for Biophysical Chemistry in Göttingen. He remained there until 1987, when he became a 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. [2]
Von der Malsburg co-founded two companies and received a number of awards. He is a member of the scientific advisory board of the Human Brain Project [3] and one of the members of the founding board of Mindfire Foundation, of which he also heads the neuroscience board. [4]
His research interests focused on processes of organization in the brain with emphasis on the structure and function of the visual system. His publications concerning the theory of self-organization of regular fiber projections in the visual system made him a pioneer of this field. He is known for his criticism of the theory of neural networks. [5] He claimed that the generally accepted view fails because of the binding problem. To solve it he formulated the Dynamic Link Architecture, a system of rapidly switching network fragments, as applied to facial recognition. [6] [7]
The consciousness and binding problem is the problem of how objects, background and abstract or emotional features are combined into a single experience.
Terrence Joseph Sejnowski is the Francis Crick Professor at the Salk Institute for Biological Studies where he directs the Computational Neurobiology Laboratory and is the director of the Crick-Jacobs center for theoretical and computational biology. He has performed pioneering research in neural networks and computational neuroscience.
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Michelle Anne Mahowald was an American computational neuroscientist in the emerging field of neuromorphic engineering. In 1996 she was inducted into the Women in Technology International Hall of Fame for her development of the Silicon Eye and other computational systems. She committed suicide at age 33.
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Tomaso Armando Poggio, is the Eugene McDermott professor in the Department of Brain and Cognitive Sciences, an investigator at the McGovern Institute for Brain Research, a member of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and director of both the Center for Biological and Computational Learning at MIT and the Center for Brains, Minds, and Machines, a multi-institutional collaboration headquartered at the McGovern Institute since 2013.
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Daniel J. Amit Hebrew: דניאל עמית was an Israeli physicist and pacifist, who was one of the pioneers in the field of computational neuroscience. Amit, Hanoch Gutfreund and Haim Sompolinsky, in a set of papers referred to as the ASG papers, were the first to demonstrate the utility of statistical mechanics in neural network research and helped establish theoretical and computational neuroscience as a novel approach that brings into brain research unique powerful sets of concepts, models, and standards of rigour.
The Bernstein Network is a research network in the field of computational neuroscience; this field brings together experimental approaches in neurobiology with theoretical models and computer simulations. It unites different scientific disciplines, such as physics, biology, mathematics, medical science, psychology, computer science, engineering and philosophy in the endeavor to understand how the brain functions. The close combination of neurobiological experiments with theoretical models and computer simulations allows scientists of the Bernstein Network to pursue innovative approaches with regard to one of the most complex structures nature has created in the course of evolution: the natural brain.
Laurence Frederick Abbott is an American theoretical neuroscientist, who is currently the William Bloor Professor of Theoretical Neuroscience at Columbia University, where he helped create the Center for Theoretical Neuroscience. He is widely regarded as one of the leaders of theoretical neuroscience, and is coauthor, along with Peter Dayan, on the first comprehensive textbook on theoretical neuroscience, which is considered to be the standard text for students and researchers entering theoretical neuroscience. He helped invent the dynamic clamp method alongside Eve Marder.
Newton Howard is a brain and cognitive scientist, the former founder and director of the MIT Mind Machine Project at the Massachusetts Institute of Technology (MIT). He is a professor of computational neurology and functional neurosurgery at Georgetown University. He was a professor of at the University of Oxford, where he directed the Oxford Computational Neuroscience Laboratory. He is also the director of MIT's Synthetic Intelligence Lab, the founder of the Center for Advanced Defense Studies and the chairman of the Brain Sciences Foundation. Professor Howard is also a senior fellow at the John Radcliffe Hospital at Oxford, a senior scientist at INSERM in Paris and a P.A.H. at the CHU Hospital in Martinique.
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Tatjana Tchumatchenko is a physicist in the field of theoretical neuroscience. She is an independent Max Planck Group Leader and, since November 2020, professor for Computational Neuroscience of Behavior at the Faculty of Medicine of the Rheinische Friedrich-Wilhelms-Universität Bonn (Germany). In her research she investigates how neural networks compute and how particular activity patterns emerge from synaptic and neuronal features.
Gregor Schöner is a German computational neuroscientist. He is professor for the theory of cognitive systems at the Ruhr University Bochum, as well as the director of the Institute for Neuroinformatics located there.
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