Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Signal Selection Based on Stochastic Resonance   Noise aids the encoding of continuous signals into pulse sequences by way of
stochastic resonance and endows the encoding device with a preferred frequency.
We study encoding by a threshold device based on the Ornstein-Uhlenbeck
process, equivalent to the leaky integrate-and-fire neuron model. Preferred
frequency, optimum noise intensity, and optimum signal-to-noise ratio are shown
to be linearly related to the AC amplitude of the input signal. The DC
component of the input tunes the device either into transmission (preferred
frequency nearly independent of signal amplitude) or selection mode (frequency
rising with amplitude). We argue that this behavior may facilitate selective
signal processing in neurons.

36
The categories of this paper are: cmp-lg
1
The categories of this paper are: cs
23
The categories of this paper are: solv-int
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The categories of this paper are: ao-sci
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The categories of this paper are: q-alg
14
The categories of this paper are: math-ph
12
The categories of this paper are: nucl-th
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The categories of this paper are: bayes-an
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The categories of this paper are: supr-con
13
The categories of this paper are: quant-ph
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The categories of this paper are: patt-sol
16
The categories of this paper are: stat
4
The categories of this paper are: cond-mat
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The categories of this paper are: eess
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The categories of this paper are: chem-ph
28
The categories of this paper are: alg-geom