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We also show for the first time how this particular short-term plasticity properties of our memristive devices can be exploited for implementing spatio-temporal computation, following biologically realistic neural computation paradigms: (1) displacement of ionic species, (2) phase-change and (3) the formation of conductive filaments.

Here we focus on demonstrating how single Ti O used to validate the response of real synapses.

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Here we demonstrate that single solid-state Ti O memristors can exhibit non-associative plasticity phenomena observed in biological synapses, supported by their metastable memory state transition properties.

We show that, contrary to conventional uses of solid-state memory, the existence of rate-limiting volatility is a key feature for capturing short-term synaptic dynamics.

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Figure 2a,b show two different cases of facilitation: in Fig.

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