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Monocular Visual Deprivation and Ocular Dominance Plasticity Measurement in the Mouse Primary Visual Cortex
Published on: February 8, 2020
Dynamics of receptive field size in primary visual cortex
Brian J Malone1, Vikas R Kumar, Dario L Ringach
1Department of Neurobiology and Psychology, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA 90095-1563, USA.
Journal of Neurophysiology
|October 6, 2006
Summary
Visual cortex neurons initially process low spatial frequencies, then finer details. Receptive field size dynamically shrinks during responses, supporting coarse-to-fine visual processing.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Visual Processing
Background:
- Early visual cortex responses are dominated by low spatial frequencies initially, shifting to finer scales later.
- This phenomenon may result from dynamic changes in receptive field (RF) size during cortical processing.
Purpose of the Study:
- To investigate the dynamics of receptive field (RF) size in primary visual cortex simple cells.
- To determine if RF size changes contribute to the observed coarse-to-fine visual processing.
Main Methods:
- Measured first-order spatio-temporal kernels of simple cells in anesthetized macaque primary visual cortex.
- Fitted kernels with 2D Gabor functions at different time slices to analyze RF properties.
- Quantified changes in RF envelope width, length, and carrier period over response time.
Main Results:
- Receptive field (RF) width, length, and spatial period decreased over the response time-course.
- Most significant changes observed: RF width and spatial period decreased by 15% within the first 20 ms.
- Demonstrated a novel form of spatio-temporal inseparability in simple cell responses.
Conclusions:
- Receptive field (RF) size dynamically shrinks during neuronal responses in early visual cortex.
- These findings support a coarse-to-fine information processing model in the visual system.
- Dynamic RF changes offer a mechanism for integrating information across spatial scales.
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