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