Re: *cochlea*: inner ear models in Python ("Dr. Lowel P. O'Mard" )


Subject: Re: *cochlea*: inner ear models in Python
From:    "Dr. Lowel P. O'Mard"  <lowel.omard@xxxxxxxx>
Date:    Wed, 20 Aug 2014 12:08:33 +0100
List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>

--047d7b3a9552f5673e05010d9f8a Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: quoted-printable 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 =E2=84=A2, Ubuntu, Fedora, Ma= c 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 =E2=80=9Cctypes=E2=80=9D foreign function library is us= ed 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 =E2=80=9CDownloads=E2=80=9D page of the DSAM website: http://dsam.org.uk. T= he =E2=80=9CApplications=E2=80=9D page provides information on the afore menti= oned application packages. Sincere regards, ...Lowel. --047d7b3a9552f5673e05010d9f8a Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr"><div>Hi Etienne and Everybody,</div><div><br></div><div>Ju= st to remind everybody that the Development System for Auditory Modelling (= DSAM) RunDSAMSim application also provides a Python interface, and allows c= omplete access to all of the models available in DSAM. =C2=A0No doubt &quot= ;Cochlea*&quot; is a worthy competitor to the DSAM RunDSAMSim application, = as it seems to have similar functionality. =C2=A0The RunDSAMSim python inte= rface links directly to the C/C++ DSAM library.</div> <div><br></div><div>DSAM provides a flexible environment for both novice an= d advanced users to run auditory models on all platforms (Windows =E2=84=A2= , Ubuntu, Fedora, Mac OS, etc.). It provides immediate access to auditory m= odels such as the Zilany and Bruce (2006, 2007), Meddis et al. (2001) audit= ory nerve models and the Auditory Image Model (AIM) by Patterson et al. (20= 01). In all it provides seven different published auditory nerve models usi= ng both linear and non-linear basilar membrane frequency selectivity, inclu= ding 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 Mc= Gregor Model). Other auditory models, analysis functions, threaded processi= ng and sound file support are also provided. A 320 page manual is available= for DSAM that provides detailed information on how simulations can be crea= ted and controlled.</div> <div>In 2012 DSAM joined the ever growing band of scientists who are turnin= g to Python as their analysis and visualisation programming language. =C2= =A0Because the standard Python =E2=80=9Cctypes=E2=80=9D foreign function li= brary is used to create the interface DSAM can be run on any platform for w= hich Python is available.</div> <div>Self-installing packages (Windows[tm], Ubuntu and Fedora) for RunDSAMS= im , SAMS , the DSAM_SDK and other source archives are available from the = =E2=80=9CDownloads=E2=80=9D page of the DSAM website: <a href=3D"http://dsa= m.org.uk">http://dsam.org.uk</a>. The =E2=80=9CApplications=E2=80=9D page p= rovides information on the afore mentioned application packages.</div> <div><br></div><div>Sincere regards,</div><div><br></div><div>...Lowel.</di= v><div><br></div></div> --047d7b3a9552f5673e05010d9f8a--


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