Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Saliency map using features derived from spiking neural networks of
  primate visual cortex   We propose a framework inspired by biological vision systems to produce
saliency maps of digital images. Well-known computational models for receptive
fields of areas in the visual cortex that are specialized for color and
orientation perception are used. To model the connectivity between these areas
we use the CARLsim library which is a spiking neural network(SNN) simulator.
The spikes generated by CARLsim, then serve as extracted features and input to
our saliency detection algorithm. This new method of saliency detection is
described and applied to benchmark images.

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The categories of this paper are: stat
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The categories of this paper are: q-fin
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The categories of this paper are: econ
22
The categories of this paper are: chao-dyn
35
The categories of this paper are: mtrl-th
33
The categories of this paper are: plasm-ph
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The categories of this paper are: solv-int
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The categories of this paper are: math-ph
37
The categories of this paper are: supr-con
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The categories of this paper are: math
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The categories of this paper are: ao-sci
30
The categories of this paper are: q-alg
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The categories of this paper are: gr-qc
34
The categories of this paper are: chem-ph
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The categories of this paper are: hep-ex
20
The categories of this paper are: acc-phys