An Analog VLSI Implementation of the Inner Hair Cell and Auditory Nerve Using a Dual AGC Model

An analog inner hair cell and auditory nerve circuit using a dual AGC model has been implemented using 0.35 micron mixed-signal technology. A fully-differential current-mode architecture is used and the ability to correct channel mismatch is evaluated with matched layouts as well as with digital cur...

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Bibliographic Details
Published in:IEEE transactions on biomedical circuits and systems 2014-04, Vol.8 (2), p.240-256
Main Authors: Freedman, David S., Cohen, Howard I., Deligeorges, Socrates, Karl, Christian, Hubbard, Allyn E.
Format: Article
Language:English
Subjects:
Adaptation models
Analog circuits
Animals
Auditory nerve
Biological system modeling
Biomedical Engineering - instrumentation
Biomembranes
biomimetic
Channels
Circuits
Cochlear Nerve - physiology
current tuning
dual AGC
Equipment Design
fully differential
Gain control
Hair
Hair Cells, Auditory, Inner - physiology
inner hair cell
Integrated circuit modeling
Integrated circuits
Mammals
mismatch
mixed-signal
Models, Biological
Nerves
neuromorphic
Signal Processing, Computer-Assisted - instrumentation
Transaction processing
Transistors, Electronic
Tuning
Very large scale integration
very large scale integration (VLSI)
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Summary:An analog inner hair cell and auditory nerve circuit using a dual AGC model has been implemented using 0.35 micron mixed-signal technology. A fully-differential current-mode architecture is used and the ability to correct channel mismatch is evaluated with matched layouts as well as with digital current tuning. The Meddis test paradigm is used to examine the analog implementation's auditory processing capabilities and investigate the circuit's ability to correct DC mismatch. The correction techniques used demonstrate the analog inner hair cell and auditory nerve circuit's potential use in low-power, multiple-sensor analog biomimetic systems with highly reproducible signal processing blocks on a single massively parallel integrated circuit.
ISSN:1932-4545
1940-9990
DOI:10.1109/TBCAS.2013.2259165