Perceptual Spaces: Mathematical Structures to Neural Mechanisms
Name
Zaidi-2013-Perceptual spaces_ m.pdf
Size
119.56 KB
Format
Adobe PDF
Checksum (MD5)
c33af8ce10b009cfae58d04eeb66399f
Author(s)
Zaidi, Qasim
Victor, Jonathan
McDermott, Josh
Geffen, Maria
Bensmaia, Sliman
Cleland, Thomas A.
Date Issued
November 2013
Journal
Journal of Neuroscience
Publisher
Society for Neuroscience
Citation
Zaidi, Q., J. Victor, J. McDermott, M. Geffen, S. Bensmaia, and T. A. Cleland. “Perceptual Spaces: Mathematical Structures to Neural Mechanisms.” Journal of Neuroscience 33, no. 45 (November 6, 2013): 17597–17602.
Version
Final published version
Abstract
A central goal of neuroscience is to understand how populations of neurons build and manipulate representations of percepts that provide useful information about the environment. This symposium explores the fundamental properties of these representations and the perceptual spaces in which they are organized. Spanning the domains of color, visual texture, environmental sound, music, tactile quality, and odor, we show how the geometric structures of perceptual spaces can be determined experimentally and how these structures provide insights into the principles of neural coding and the neural mechanisms that generate the codes, and into the neural processing of complex sensory stimuli. The diversity of the neural architecture in these different sensory systems provides an opportunity to compare their different solutions to common problems: the need for dimensionality reduction, strategies for topographic or nontopographic mapping, the utility of the higher-order statistical structure inherent in natural sensory stimuli, and the constraints of neural hardware.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1523/jneurosci.3343-13.2013
