Re: *cochlea*: inner ear models in Python (Etienne Gaudrain )


Subject: Re: *cochlea*: inner ear models in Python
From:    Etienne Gaudrain  <e.p.c.gaudrain@xxxxxxxx>
Date:    Wed, 20 Aug 2014 10:19:00 +0200
List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>

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!! -Etienne -- Etienne Gaudrain, PhD UMCG, Afdeling KNO, BB20 PO Box 30.001 9700 RB Groningen, NL Room P3.236 Phone +31 5036 13290 Skype egaudrain Note: emails to this address are limited to 10 MB. To send larger files, use egaudrain.cam@xxxxxxxx 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


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