Neural Assemblies: An Alternative Approach to Classical Artificial Intelligence

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Prof Dr Günther Palm

Professor Palm began his studies of mathematics at the University of Hamburg and graduated at the Eberhard-Karls-University of Tübingen with a PhD thesis on “Entropie und Generatoren in dynamischen Verbänden“ supervised by Prof. Dr. Rainer Nagel in 1975. He then worked as a research assistant at the Max Planck Institute for Biological Cybernetics, Tübingen, on topics of quantitative neuroanatomy, information theory, nonlinear systems theory, associative memory and brain theory from 1975 to 1988. During that time he spent one year (1983/1984) in Berlin as a fellow of the Wissenschaftskolleg. In 1988 he became professor for theoretical brain research at the University of Düsseldorf. Since 1991 he is director of the Institute of Neural Information Processing at Ulm University. He retired in 2016 and is working part-time on neural data analysis at the Forschungszentrum Jülich since 2017.

Professor Palm's research focus is oninformation theory, neural networks, associative memory, and specifically on Hebbian cell assemblies. By 2015, he has published more than 300 peer-reviewed articles in international journals, 60 invited contributions, and (co-)edited 8 books. He is author of the monographs “Neural Assemblies. An Alternative Approach to Artificial Intelligence” (1982), and “Novelty, Information and Surprise” (2012).