Regensburg 2016 – wissenschaftliches Programm

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BP: Fachverband Biologische Physik

BP 38: Neurosciences

BP 38.4: Vortrag

Mittwoch, 9. März 2016, 10:45–11:00, H45

Emulation of the hippocampal circuit with memristive Hebbian Plasticity — •Nick Diederich^{1, 2}, Annika Hanert², Thorsten Bartsch², Martin Ziegler¹, and Hermann Kohlstedt¹ — ¹Technische Fakultät, Christian-Albrechts-Universität zu Kiel, Germany — ²Neurologie, Universitätsklinik Schleswig-Holstein, Germany

The hippocampus is one of the crucial brain areas for learning and consolidation of memory in human brains. In particular, it serves as a classical model for neuroplasticity. Therefore, important plasticity mechanisms such as long-term potentiation and depression have been identified and demonstrated in the hippocampal field. For the description of the working principles of the hippocampus a circuit model has been proposed which is based on auto- and heteroassociative networks. In this talk, a computational neural-network model of the hippocampal circuit is presented. Spiking neurons and memristive Hebbian synapses are employed into Hopfield- and feedforward network structures. The obtained network performance is discussed in the framework of pattern completion and recognition and recent studies of mnemonic processing.

Finanical support by the German Research Foundation through FOR 2093 is gratefully acknowledged.