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
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