Frequency dependent rectifier memristor bridge used as a programmable synaptic membrane voltage generator

Oliver Pabst, Torsten Schmidt


Reasoned by its dynamical behavior, the memristor enables a lot of new applications in analog circuit design. Since some realizations have been shown (e.g. 2007 by Hewlett Packard), the development of applications with memristors becomes more and more interesting. Besides applications in neural networks and storage devices, analog memristive circuits also promise further applications. Therefore, this article proposes a frequency dependent rectifier memristor bridge for different purposes, for example, using as a programmable synaptic membrane voltage generator for Spike-Time-Dependent-Plasticity and describes the circuit theory. In this context it is shown that the Picard Iteration is one possibility to analytically solve the system of nonlinear state equations of memristor circuits. An intuitive picture of how a memristor works in a network in general is given as well and in this context some research on the dynamical behavior of a HP memristor should be done. After all it is suggested to use the memristor bridge as a neuron.


memristor bridge; Spike-Time-Dependent-Plasticity; memristor; frequency dependent rectifier; Picard Iteration; synaptic membrane voltage; time response; Hebbian learning; non-REM sleep; synaptic circuit; neuron

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