3D Model of Frequency Representation in
the Cochlear Nucleus of the CBA/J Mouse

Muniak et al. (2013)   [ PDF ]
Journal of Comparative Neurology
doi: 10.1002/cne.23238

Our model is a quantitative sensory map that allows the user to make predictions about frequency representation at any 3-D coordinate location within the cochlear nucleus (CN) of the mouse. Further information about the development and discussion of this model can be found in the companion manuscript.

Extensive details about how to use the model can be found in the following PDF document:


The model makes use of radial basis functions to describe tonotopy within the mouse CN. This analytical approach cannot be summarized by a succinct equation, but is instead governed by a large set of functions derived from our anatomical dataset. The model website was developed to allow other research groups to evaluate our functions.

To use the model, there are three requirements:

  • » A set of 3-D coordinates. These coordinates represent locations within the CN at which you want to predict frequency representation. They could be based on the locations of labeled cell bodies, recording sites, or simply chosen arbitrarily. In order to make meaningful predictions, input coordinates must be based upon pre-defined coordinate systems (see PDF).
  • » A choice of subdivision. The model is actually comprised of two predictive maps, one for the dorsal cochlear nucleus (DCN), and one for the ventral cochlear nucleus (VCN). To evaluate your coordinate data, you must specify which subdivision your data belong to. Of course, you can test your data against both subdivisions, but in all likelihood, only one will give meaningful predictions.
  • » The Silverlight plug-in. For ease of access, the model software has been compiled as a Silverlight plugin, which is freely available and compatible with both Windows and Macintosh operating systems. The predictive functions are evaluated using your computer processor. Therefore, once loaded, the speed of evaluation is dependent upon your machine. To install Silverlight, go here.