Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Neuron inspired data encoding memristive multi-level memory cell   Mapping neuro-inspired algorithms to sensor backplanes of on-chip hardware
require shifting the signal processing from digital to the analog domain,
demanding memory technologies beyond conventional CMOS binary storage units.
Using memristors for building analog data storage is one of the promising
approaches amongst emerging non-volatile memory technologies. Recently, a
memristive multi-level memory (MLM) cell for storing discrete analog values has
been developed in which memory system is implemented combining memristors in
voltage divider configuration. In given example, the memory cell of 3 sub-cells
with a memristor in each was programmed to store ternary bits which overall
achieved 10 and 27 discrete voltage levels. However, for further use of
proposed memory cell in analog signal processing circuits data encoder is
required to generate control voltages for programming memristors to store
discrete analog values. In this paper, we present the design and performance
analysis of data encoder that generates write pattern signals for 10 level
memristive memory.

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The categories of this paper are: physics
0
The categories of this paper are: hep-ph
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The categories of this paper are: math
8
The categories of this paper are: hep-ex
31
The categories of this paper are: ao-sci
9
The categories of this paper are: nlin
11
The categories of this paper are: hep-lat
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The categories of this paper are: nucl-ex
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The categories of this paper are: q-fin
21
The categories of this paper are: adap-org
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The categories of this paper are: quant-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: gr-qc
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The categories of this paper are: math-ph
30
The categories of this paper are: q-alg
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The categories of this paper are: q-bio