Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A sub-1-volt analog metal oxide memristive-based synaptic device for
  energy-efficient spike-based computing systems   Nanoscale metal oxide memristors have potential in the development of
brain-inspired computing systems that are scalable and efficient1-3. In such
systems, memristors represent the native electronic analogues of the biological
synapses. However, the characteristics of the existing memristors do not fully
support the key requirements of synaptic connections: high density, adjustable
weight, and low energy operation. Here we show a bilayer memristor that is
forming-free, low-voltage (~|0.8V|), energy-efficient (full On/Off switching at
~2pJ), and reliable. Furthermore, pulse measurements reveal the analog nature
of the memristive device, that is it can be directly programmed to intermediate
resistance states. Leveraging this finding, we demonstrate
spike-timing-dependent plasticity (STDP), a spike-based Hebbian learning rule4.
In those experiments, the memristor exhibits a marked change in the normalized
synaptic strength (>30 times) when the pre- and post-synaptic neural spikes
overlap. This demonstration is an important step towards the physical
construction of high density and high connectivity neural networks.

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The categories of this paper are: patt-sol
18
The categories of this paper are: econ
5
The categories of this paper are: gr-qc
30
The categories of this paper are: q-alg
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The categories of this paper are: stat
12
The categories of this paper are: nucl-th
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The categories of this paper are: nlin
2
The categories of this paper are: math
33
The categories of this paper are: plasm-ph
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The categories of this paper are: eess
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The categories of this paper are: solv-int
8
The categories of this paper are: hep-ex
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The categories of this paper are: alg-geom
10
The categories of this paper are: q-bio
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The categories of this paper are: math-ph
24
The categories of this paper are: dg-ga