Improved mapping of information distribution across the cortical surface with the support vector machine

The early visual cortices represent information of several stimulus attributes, such as orientation and color. To understand the coding mechanisms of these attributes in the brain, and the functional organization of the early visual cortices, it is necessary to determine whether different attributes are represented by different compartments within each cortex. Previous studies addressing this question have focused on the information encoded by the response amplitude of individual neurons or cortical columns, and have reached conflicting conclusions. Given the correlated variability in response amplitude across neighboring columns, it is likely that the spatial pattern of responses across these columns encodes the attribute information more reliably than does the response amplitude. Here we present a new method of mapping the spatial distribution of information that is encoded by both the response amplitude and the spatial pattern. This new method is based on a statistical learning app...

• Type: Journal
• Year: 2008
• Where: NN
• Authors: Youping Xiao, Ravi Rao, Guillermo A. Cecchi, Ehud Kaplan
• Keywords: Early Visual Cortices, Neural Networks, NN 2008, Response Amplitude, Spatial Pattern