Literature DB >> 23817887

Synaptic behavior and STDP of asymmetric nanoscale memristors in biohybrid systems.

Adam Williamson1, Lars Schumann, Lars Hiller, Frank Klefenz, Ingo Hoerselmann, Peter Husar, Andreas Schober.   

Abstract

We fabricate and characterize asymmetric memristors which show a very strong single-sided hysteresis. When biased in one direction there is hysteresis and in the opposite direction there is a lack of hysteresis. We demonstrate that this apparent lack is actually hysteresis on a much faster time-scale. We further demonstrate that this form of asymmetric behavior correlates very well to the asymmetric structure and function of an actual synapse. The asymmetric memristor device presented here is necessary to correctly implement spike-timing-dependent-plasticity STDP in mixed memristor/neuron hybrid systems as an artificial synapse. These devices show the required characteristics for implementing the asymmetric form of long-term potentiation (LTP) and long-term depression (LTD) of a synapse between two neurons, where symmetric memristor devices do not. Signals from a presynaptic neuron are sent via its axon across the synapse to the dendrite of a postsynaptic neuron. Postsynaptic neuron signals sent to subsequent neurons have an influence on the strength of any further presynaptic neuron signals received by the postsynaptic neuron across the synapse. These signals are grouped into spike triplets within the framework of STDP and, as we experimentally show here, can be implemented with asymmetric memristors, not standard symmetric memristors.

Entities:  

Year:  2013        PMID: 23817887     DOI: 10.1039/c3nr01834b

Source DB:  PubMed          Journal:  Nanoscale        ISSN: 2040-3364            Impact factor:   7.790


  3 in total

1.  A memristor SPICE model accounting for synaptic activity dependence.

Authors:  Qingjiang Li; Alexander Serb; Themistoklis Prodromakis; Hui Xu
Journal:  PLoS One       Date:  2015-03-18       Impact factor: 3.240

2.  Coupling Resistive Switching Devices with Neurons: State of the Art and Perspectives.

Authors:  Alessandro Chiolerio; Michela Chiappalone; Paolo Ariano; Sergio Bocchini
Journal:  Front Neurosci       Date:  2017-02-15       Impact factor: 4.677

Review 3.  Modeling the formation process of grouping stimuli sets through cortical columns and microcircuits to feature neurons.

Authors:  Frank Klefenz; Adam Williamson
Journal:  Comput Intell Neurosci       Date:  2013-11-28
  3 in total

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