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Re: *cochlea*: inner ear models in Python

Hello Marek,

Nice to see this. Keep up the great work.


From: Marek Rudnicki <marek.rudnicki@xxxxxx>
To: AUDITORY@xxxxxxxxxxxxxxx
Sent: Thursday, August 21, 2014 5:20:58 AM
Subject: Re: *cochlea*: inner ear models in Python

Etienne Gaudrain <e.p.c.gaudrain@xxxxxxx> writes:

> Dear Marek,
> This looks very promising, I'm glad to finally see the first signs of a
> shift from Matlab to Python. Thanks a lot for sharing this!!

Dear Etienne

I'm glad you like it.

BTW, if you still have some MATLAB legacy code that you would like to
use in Python, then matlab_wrapper [1] could be helpful.  It allows you
to call MATLAB functions directly from Python environment (the MATLAB
process is started in the background), e.g.:

matlab.workspace.sin([0.1, 0.2, 0.3])


[1] https://github.com/mrkrd/matlab_wrapper

> On 19/08/2014 14:50, Marek Rudnicki wrote:
>> Hi all,
>> we would like to announce *cochlea* -- a collection of inner ear
>> models in Python.  It was developed in the group of Werner Hemmert [1]
>> at the Technische Universität München.  After a few years of
>> development, we decided that it is stable and would like to contribute
>> it to the auditory community.
>> The main features of the package are:
>>    - simple to use (each model is implemented as a single Python
>>      function: sound in, spikes out)
>>    - fast (you can generate responses of hundreds or even thousands of
>>      nerve fibers)
>>    - all models have the same interface (easy to make comparisons and
>>      pick the one that best suits your needs)
>>    - up-to-date (recent models included)
>> Currently implemented models are:
>>    - Zilany, M. S., Bruce, I. C., & Carney, L. H. (2014). Updated
>>      parameters and expanded simulation options for a model of the
>>      auditory periphery. The Journal of the Acoustical Society of
>>      America, 135(1), 283-286.
>>    - Zilany, M. S., Bruce, I. C., Nelson, P. C., & Carney,
>>      L. H. (2009). A phenomenological model of the synapse between the
>>      inner hair cell and auditory nerve: long-term adaptation with
>>      power-law dynamics. The Journal of the Acoustical Society of
>>      America, 126(5), 2390-2412.
>>    - Holmberg, M. (2007). Speech Encoding in the Human Auditory
>>      Periphery: Modeling and Quantitative Assessment by Means of
>>      Automatic Speech Recognition. PhD thesis, Technical University
>>      Darmstadt.
>>    - MATLAB Auditory Periphery by Meddis et al. (external model, not
>>      implemented in the package, but easily accessible through
>>      matlab_wrapper).
>> We are really grateful to the authors of those models for allowing us
>> to use their code it in *cochlea*.  We release the package under the
>> GNU General Public License, so that you are free to copy, use and
>> modify the code.  We also encourage you to contribute back your
>> changes.
>> The code is distributed on GitHub [2] and the package/documentation
>> are hosted on the Python Package Index [3].  Check also our demo [4]!
>> If you would like to give a feedback, have questions or found some
>> problem, do not hesitate to email me or open an issue on GitHub [2].
>> Thank you and best regards
>> Marek Rudnicki
>> [1] http://www.imetum.tum.de/research/bai/home/?L=1
>> [2] https://github.com/mrkrd/cochlea
>> [3] https://pythonhosted.org/cochlea/
>> [4] http://nbviewer.ipython.org/github/mrkrd/cochlea/blob/master/examples/cochlea_demo.ipynb