Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Spiking Cochlea with System-level Local Automatic Gain Control   Including local automatic gain control (AGC) circuitry into a silicon cochlea
design has been challenging because of transistor mismatch and model
complexity. To address this, we present an alternative system-level algorithm
that implements channel-specific AGC in a silicon spiking cochlea by measuring
the output spike activity of individual channels. The bandpass filter gain of a
channel is adapted dynamically to the input amplitude so that the average
output spike rate stays within a defined range. Because this AGC mechanism only
needs counting and adding operations, it can be implemented at low hardware
cost in a future design. We evaluate the impact of the local AGC algorithm on a
classification task where the input signal varies over 32 dB input range. Two
classifier types receiving cochlea spike features were tested on a speech
versus noise classification task. The logistic regression classifier achieves
an average of 6% improvement and 40.8% relative improvement in accuracy when
the AGC is enabled. The deep neural network classifier shows a similar
improvement for the AGC case and achieves a higher mean accuracy of 96%
compared to the best accuracy of 91% from the logistic regression classifier.

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The categories of this paper are: hep-th
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The categories of this paper are: gr-qc
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The categories of this paper are: q-fin
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The categories of this paper are: hep-ex
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The categories of this paper are: quant-ph
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The categories of this paper are: nucl-th
33
The categories of this paper are: plasm-ph
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The categories of this paper are: adap-org
25
The categories of this paper are: patt-sol
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The categories of this paper are: nlin
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The categories of this paper are: dg-ga
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The categories of this paper are: q-bio
35
The categories of this paper are: mtrl-th
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The categories of this paper are: alg-geom
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The categories of this paper are: supr-con
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The categories of this paper are: chao-dyn