Literature DB >> 23853292

A silicon cochlea with active coupling.

K Boahen.   

Abstract

We present a mixed-signal very-large-scale-integrated chip that emulates nonlinear active cochlear signal processing. Modeling the cochlea's micromechanics, including outer hair cell (OHC) electromotility, this silicon (Si) cochlea features active coupling between neighboring basilar membrane (BM) segments-a first. Neighboring BM segments, each implemented as a class AB log-domain second-order section, exchange currents representing OHC forces. This novel active-coupling architecture overcomes the major shortcomings of existing cascade and parallel filter-bank architectures, while achieving the highest number of digital outputs in an Si cochlea to date. An active-coupling architecture Si cochlea with 360 frequency channels and 2160 pulse-stream outputs occupies 10.9 mm(2) in a five-metal 1-poly 0.25-mum CMOS process. The chip's responses resemble that of a living cochlea's: Frequency responses become larger and more sharply tuned when active coupling is turned on. For instance, gain increases by 18 dB and Q 10 increases from 0.45 to 1.14. This enhancement decreases with increasing input intensity, realizing frequency-selective automatic gain control. Further work is required to improve performance by reducing large variations from tap to tap.

Entities:  

Year:  2009        PMID: 23853292     DOI: 10.1109/TBCAS.2009.2027127

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  6 in total

1.  Bio-inspired imager improves sensitivity in near-infrared fluorescence image-guided surgery.

Authors:  Missael Garcia; Christopher Edmiston; Timothy York; Radoslav Marinov; Suman Mondal; Nan Zhu; Gail P Sudlow; Walter J Akers; Julie Margenthaler; Samuel Achilefu; Rongguang Liang; Mohamed A Zayed; Marta Y Pepino; Viktor Gruev
Journal:  Optica       Date:  2018       Impact factor: 11.104

2.  Robust Working Memory in an Asynchronously Spiking Neural Network Realized with Neuromorphic VLSI.

Authors:  Massimiliano Giulioni; Patrick Camilleri; Maurizio Mattia; Vittorio Dante; Jochen Braun; Paolo Del Giudice
Journal:  Front Neurosci       Date:  2012-02-02       Impact factor: 4.677

3.  Reconstruction of audio waveforms from spike trains of artificial cochlea models.

Authors:  Anja T Zai; Saurabh Bhargava; Nima Mesgarani; Shih-Chii Liu
Journal:  Front Neurosci       Date:  2015-10-13       Impact factor: 4.677

4.  STDP and STDP variations with memristors for spiking neuromorphic learning systems.

Authors:  T Serrano-Gotarredona; T Masquelier; T Prodromakis; G Indiveri; B Linares-Barranco
Journal:  Front Neurosci       Date:  2013-02-18       Impact factor: 4.677

5.  A hardware model of the auditory periphery to transduce acoustic signals into neural activity.

Authors:  Takashi Tateno; Jun Nishikawa; Nobuyoshi Tsuchioka; Hirofumi Shintaku; Satoyuki Kawano
Journal:  Front Neuroeng       Date:  2013-11-26

Review 6.  Event-Based Sensing and Signal Processing in the Visual, Auditory, and Olfactory Domain: A Review.

Authors:  Mohammad-Hassan Tayarani-Najaran; Michael Schmuker
Journal:  Front Neural Circuits       Date:  2021-05-31       Impact factor: 3.492

  6 in total

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