Literature DB >> 9667392

Methods for spherical data analysis and visualization.

P Leong1, S Carlile.   

Abstract

A systematic analysis of the localization of objects in extra-personal space requires a three-dimensional method of documenting location. In auditory localization studies the location of a sound source is often reduced to a directional vector with constant magnitude with respect to the observer, data being plotted on a unit sphere with the observer at the origin. This is an attractive form of data representation as the relevant spherical statistical and graphical methods are well described. In this paper we collect together a set of spherical plotting and statistical procedures to visualize and summarize these data. We describe methods for visualizing auditory localization data without assuming that the principal components of the data are aligned with the coordinate system. As a means of comparing experimental techniques and having a common set of data for the verification of spherical statistics, the software (implemented in MATLAB) and database described in this paper have been placed in the public domain. Although originally intended for the visualization and summarization of auditory psychophysical data, these routines are sufficiently general to be applied in other situations involving spherical data.

Mesh:

Year:  1998        PMID: 9667392     DOI: 10.1016/s0165-0270(97)00201-x

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  22 in total

1.  Sound pressure transformations by the head and pinnae of the adult Chinchilla (Chinchilla lanigera).

Authors:  Kanthaiah Koka; Heath G Jones; Jennifer L Thornton; J Eric Lupo; Daniel J Tollin
Journal:  Hear Res       Date:  2010-10-27       Impact factor: 3.208

2.  Postnatal development of sound pressure transformations by the head and pinnae of the cat: monaural characteristics.

Authors:  Daniel J Tollin; Kanthaiah Koka
Journal:  J Acoust Soc Am       Date:  2009-02       Impact factor: 1.840

3.  Distortions of auditory space during rapid head turns.

Authors:  Joel Cooper; Simon Carlile; David Alais
Journal:  Exp Brain Res       Date:  2008-08-12       Impact factor: 1.972

4.  Relearning auditory spectral cues for locations inside and outside the visual field.

Authors:  Simon Carlile; Toby Blackman
Journal:  J Assoc Res Otolaryngol       Date:  2013-12-04

5.  The influence of shape cues on the perception of lighting direction.

Authors:  James P O'Shea; Maneesh Agrawala; Martin S Banks
Journal:  J Vis       Date:  2010-10-18       Impact factor: 2.240

6.  Development of the head, pinnae, and acoustical cues to sound location in a precocial species, the guinea pig (Cavia porcellus).

Authors:  Kelsey L Anbuhl; Victor Benichoux; Nathaniel T Greene; Andrew D Brown; Daniel J Tollin
Journal:  Hear Res       Date:  2017-11-01       Impact factor: 3.208

7.  Neck muscle biomechanics and neural control.

Authors:  Jason B Fice; Gunter P Siegmund; Jean-Sébastien Blouin
Journal:  J Neurophysiol       Date:  2018-04-18       Impact factor: 2.714

8.  Mocapy++--a toolkit for inference and learning in dynamic Bayesian networks.

Authors:  Martin Paluszewski; Thomas Hamelryck
Journal:  BMC Bioinformatics       Date:  2010-03-12       Impact factor: 3.169

9.  The acoustical cues to sound location in the guinea pig (Cavia porcellus).

Authors:  Nathaniel T Greene; Kelsey L Anbuhl; Whitney Williams; Daniel J Tollin
Journal:  Hear Res       Date:  2014-07-19       Impact factor: 3.208

10.  Spherical statistics for characterizing the spatial distribution of deep brain stimulation effects on neuronal activity.

Authors:  YiZi Xiao; Matthew D Johnson
Journal:  J Neurosci Methods       Date:  2015-08-11       Impact factor: 2.390

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