Neural Representation of Natural Images in Visual Area V2
Open Access
- 10 February 2010
- journal article
- Published by Society for Neuroscience in Journal of Neuroscience
- Vol. 30 (6), 2102-2114
- https://doi.org/10.1523/jneurosci.4099-09.2010
Abstract
Area V2 is a major visual processing stage in mammalian visual cortex, but little is currently known about how V2 encodes information during natural vision. To determine how V2 represents natural images, we used a novel nonlinear system identification approach to obtain quantitative estimates of spatial tuning across a large sample of V2 neurons. We compared these tuning estimates with those obtained in area V1, in which the neural code is relatively well understood. We find two subpopulations of neurons in V2. Approximately one-half of the V2 neurons have tuning that is similar to V1. The other half of the V2 neurons are selective for complex features such as those that occur in natural scenes. These neurons are distinguished from V1 neurons mainly by the presence of stronger suppressive tuning. Selectivity in these neurons therefore reflects a balance between excitatory and suppressive tuning for specific features. These results provide a new perspective on how complex shape selectivity arises, emphasizing the role of suppressive tuning in determining stimulus selectivity in higher visual cortex.Keywords
This publication has 53 references indexed in Scilit:
- The Berkeley Wavelet Transform: A Biologically Inspired Orthogonal Wavelet TransformNeural Computation, 2008
- Neurons in monkey visual area V2 encode combinations of orientationsNature Neuroscience, 2007
- A feedforward architecture accounts for rapid categorizationProceedings of the National Academy of Sciences of the United States of America, 2007
- COMPLETE FUNCTIONAL CHARACTERIZATION OF SENSORY NEURONS BY SYSTEM IDENTIFICATIONAnnual Review of Neuroscience, 2006
- Mechanisms underlying cross-orientation suppression in cat visual cortexNature Neuroscience, 2006
- Methods for first-order kernel estimation: simple-cell receptive fields from responses to natural scenesNetwork: Computation in Neural Systems, 2003
- A specialization for relative disparity in V2Nature Neuroscience, 2002
- Normalization of cell responses in cat striate cortexVisual Neuroscience, 1992
- The cortex transform: Rapid computation of simulated neural imagesComputer Vision, Graphics, and Image Processing, 1987
- Complex–unoriented cells in a subregion of primate area 18Nature, 1985