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Re: *cochlea*: inner ear models in Python

Since everyone is talking about Python and auditory modelling, I'd just like to mention "Brian" and "Brian Hears". These are free, open source Python packages for neural and auditory modelling, respectively, which you can find here:


Our focus is on providing components to develop new auditory models (filter banks, neural modelling, etc.) rather than implementations of existing models, although we do have a few of these implemented as well (and Brian is nicely compatible with Marek Rudnicki's cochlea package).

Dan Goodman (on behalf of the Brian team)

On 21/08/2014 15:46, Brown, Christopher A wrote:
As one who switched to Python as my full-time scientific environment
years ago, I am very happy to see its well-deserved increase in popularity.


On 08/20/2014 07:08 AM, Dr. Lowel P. O'Mard wrote:
Hi Etienne and Everybody,

Just to remind everybody that the Development System for Auditory
Modelling (DSAM) RunDSAMSim application also provides a Python
interface, and allows complete access to all of the models available
in DSAM.  No doubt "Cochlea*" is a worthy competitor to the DSAM
RunDSAMSim application, as it seems to have similar functionality.
  The RunDSAMSim python interface links directly to the C/C++ DSAM library.

DSAM provides a flexible environment for both novice and advanced
users to run auditory models on all platforms (Windows ™, Ubuntu,
Fedora, Mac OS, etc.). It provides immediate access to auditory models
such as the Zilany and Bruce (2006, 2007), Meddis et al. (2001)
auditory nerve models and the Auditory Image Model (AIM) by Patterson
et al. (2001). In all it provides seven different published auditory
nerve models using both linear and non-linear basilar membrane
frequency selectivity, including the DRNL and Gamma-Chirp models. It
also provides several neural cell models including an ultra-fast
implementation of the Hudgkin-Huxley neural cell which operates at 80%
the speed of a simple point neuron model (the McGregor Model). Other
auditory models, analysis functions, threaded processing and sound
file support are also provided. A 320 page manual is available for
DSAM that provides detailed information on how simulations can be
created and controlled.
In 2012 DSAM joined the ever growing band of scientists who are
turning to Python as their analysis and visualisation programming
language.  Because the standard Python “ctypes” foreign function
library is used to create the interface DSAM can be run on any
platform for which Python is available.
Self-installing packages (Windows[tm], Ubuntu and Fedora) for
RunDSAMSim , SAMS , the DSAM_SDK and other source archives are
available from the “Downloads” page of the DSAM website:
http://dsam.org.uk. The “Applications” page provides information on
the afore mentioned application packages.

Sincere regards,