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Gaussian process methods for estimating cortical maps.

Publication ,  Journal Article
Macke, JH; Gerwinn, S; White, LE; Kaschube, M; Bethge, M
Published in: Neuroimage
May 15, 2011

A striking feature of cortical organization is that the encoding of many stimulus features, for example orientation or direction selectivity, is arranged into topographic maps. Functional imaging methods such as optical imaging of intrinsic signals, voltage sensitive dye imaging or functional magnetic resonance imaging are important tools for studying the structure of cortical maps. As functional imaging measurements are usually noisy, statistical processing of the data is necessary to extract maps from the imaging data. We here present a probabilistic model of functional imaging data based on Gaussian processes. In comparison to conventional approaches, our model yields superior estimates of cortical maps from smaller amounts of data. In addition, we obtain quantitative uncertainty estimates, i.e. error bars on properties of the estimated map. We use our probabilistic model to study the coding properties of the map and the role of noise-correlations by decoding the stimulus from single trials of an imaging experiment.

Duke Scholars

Published In

Neuroimage

DOI

EISSN

1095-9572

Publication Date

May 15, 2011

Volume

56

Issue

2

Start / End Page

570 / 581

Location

United States

Related Subject Headings

  • Normal Distribution
  • Neurology & Neurosurgery
  • Magnetic Resonance Imaging
  • Image Interpretation, Computer-Assisted
  • Ferrets
  • Cerebral Cortex
  • Brain Mapping
  • Animals
  • 42 Health sciences
  • 32 Biomedical and clinical sciences
 

Citation

APA
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ICMJE
MLA
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Macke, J. H., Gerwinn, S., White, L. E., Kaschube, M., & Bethge, M. (2011). Gaussian process methods for estimating cortical maps. Neuroimage, 56(2), 570–581. https://doi.org/10.1016/j.neuroimage.2010.04.272
Macke, Jakob H., Sebastian Gerwinn, Leonard E. White, Matthias Kaschube, and Matthias Bethge. “Gaussian process methods for estimating cortical maps.Neuroimage 56, no. 2 (May 15, 2011): 570–81. https://doi.org/10.1016/j.neuroimage.2010.04.272.
Macke JH, Gerwinn S, White LE, Kaschube M, Bethge M. Gaussian process methods for estimating cortical maps. Neuroimage. 2011 May 15;56(2):570–81.
Macke, Jakob H., et al. “Gaussian process methods for estimating cortical maps.Neuroimage, vol. 56, no. 2, May 2011, pp. 570–81. Pubmed, doi:10.1016/j.neuroimage.2010.04.272.
Macke JH, Gerwinn S, White LE, Kaschube M, Bethge M. Gaussian process methods for estimating cortical maps. Neuroimage. 2011 May 15;56(2):570–581.
Journal cover image

Published In

Neuroimage

DOI

EISSN

1095-9572

Publication Date

May 15, 2011

Volume

56

Issue

2

Start / End Page

570 / 581

Location

United States

Related Subject Headings

  • Normal Distribution
  • Neurology & Neurosurgery
  • Magnetic Resonance Imaging
  • Image Interpretation, Computer-Assisted
  • Ferrets
  • Cerebral Cortex
  • Brain Mapping
  • Animals
  • 42 Health sciences
  • 32 Biomedical and clinical sciences