This award supports the preparation and sharing of computational neuroscience data as part of an exploratory activity aimed at catalyzing rapid and innovative advances in computational neuroscience and related fields. The data to be shared in this project are single- and multi-unit recordings from primary visual cortex, obtained using either standard microelectrodes or micro-machined electrode arrays. Both spontaneous and stimulus driven activity are available in a number of different conditions, including standard receptive field characterizations (e.g., orientation tuning, spatial and temporal frequency tuning) and more specific experiments such as sub-space receptive field mapping and natural image sequences. Data from micro-machined electrode arrays also include local field potentials and surface EEG. It is anticipated that these data will be useful for studies of visual processing, population coding, and retinotopy, and that the large-scale high-dimensional data will be well suited for exploration by novel machine learning and statistical methods.

Agency
National Science Foundation (NSF)
Institute
Division of Information and Intelligent Systems (IIS)
Type
Standard Grant (Standard)
Application #
0745685
Program Officer
Kenneth C. Whang
Project Start
Project End
Budget Start
2007-09-15
Budget End
2009-08-31
Support Year
Fiscal Year
2007
Total Cost
$113,822
Indirect Cost
Name
University of California Los Angeles
Department
Type
DUNS #
City
Los Angeles
State
CA
Country
United States
Zip Code
90095