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Python from Matlab (was: *cochlea*: inner ear models in Python)



Hi Marek, 

I am looking for the opposite: an easy, efficient  and reliable way to call Python from Matlab.  My programming environment nowdays is matlab and I can't easily change.  The best course that I see is to implement new code in Python and call it from matlab, and make the switch to Python when Python code reaches critical mass.  I suspect many people are in a similar position.

Alain



On 21 Aug 2014, at 11:20, Marek Rudnicki <marek.rudnicki@xxxxxx> wrote:

> 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])
> 
> 
> Cheers
> Marek
> 
> 
> [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