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Topographical Estimation of Visual Population Receptive Fields by fMRI
Published on: February 3, 2015
Receptive fields and functional architecture in the retina
Vijay Balasubramanian1, Peter Sterling
1Department of Neuroscience, University of Pennsylvania, Philadelphia, PA 19104-6085, USA. vijay@physics.upenn.edu
The Journal of Physiology
|June 16, 2009
Summary
The retina
Area of Science:
- Neuroscience
- Computational Neuroscience
- Retinal Physiology
Background:
- Striate cortex functional architecture is understood at the tissue level, but synaptic-level explanations are lacking.
- Retinal functional architecture is known from millimeters to nanometers, prompting a search for design principles.
Purpose of the Study:
- To explain the functional architecture of the retina at the synaptic level.
- To identify a unifying principle governing retinal design and information processing.
Main Methods:
- Review of existing data on retinal functional architecture.
- Analysis of neural resource allocation in relation to natural scene statistics and information theory.
Main Results:
- The retina optimizes information representation by minimizing spatial and energy costs.
- Cellular and network designs (e.g., ON/OFF cell ratios, dendritic overlap, multiple arrays) are explained by this principle.
Conclusions:
- The principle of maximizing information for minimal cost governs retinal design.
- This principle likely contributes to the brain's overall computational efficiency.
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