Berlin 2018 – scientific programme
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BP: Fachverband Biologische Physik
BP 34: Neuroscience
BP 34.6: Talk
Thursday, March 15, 2018, 16:30–16:45, H 1058
A memristive plasticity model of voltage-based STDP suitable for recurrent bidirectional neural networks in the hippocampus — •Nick Diederich1,2, Thorsten Bartsch2, Hermann Kohlstedt1, and Martin Ziegler1 — 1Technische Fakultät, Christian-Albrechts-Universität zu Kiel — 2Neurologie, Universitätsklinikum Schleswig-Holstein
Memristive systems have gained considerable attention in the field of neuromorphic engineering, since they allow the emulation of synaptic functionality in solid state nano-physical systems. In this talk it will be shown that memristive behaviour provides a working framework for the phenomenological modelling of cellular synaptic mechanisms. For this purpose, the basic characteristics of memristive systems, i.e. the volatility and history-dependence of prior applied electrical signals, are used to derive a voltage-based plasticity rule. We show that this model is suitable to account for a variety of electrophysiology plasticity data. To show the network capabilities of the plasticity model, the plasticity model was incorporated into the circuitry of the hippocampal subfields. The obtained results are discussed in the framework of the processing of mnemonic information in the hippocampus.
Financial support by the German Research Foundation through FOR 2093 is gratefully acknowledged.