By Ron D. Frostig
In Vivo Optical Imaging of mind functionality brings jointly, for the 1st time, a overview of the wide range of optical imaging ideas that experience lately emerged for the explicit examine of job within the dwelling mind, in addition to their.
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Additional resources for In vivo optical imaging of brain function
More details can be found in Stewart and Sun,35 Glaser and Ruchkin,16 and other references cited there. Following this general discussion of PCA, we introduce several specific methods for the analysis of optical imaging data. 1 PRINCIPAL COMPONENTS ANALYSIS Before we can get on with the analysis of optical imaging data, we require a framework and a language for the specification and treatment of images. , Karhunen-Loève, singular value decomposition, factor analysis, principal components analysis (PCA), and empirical eigenfunctions.
In other cases it is much more difficult, and sometimes impossible, to determine the appropriate control condition or the appropriate complementary conditions. For instance, in studying the representation of color in the cortex, any choice of such conditions depends strongly on the particular theory of color perception that one is entertaining at the moment. Therefore, in many cases there is a strong motivation to develop and use analysis methods that circumvent the difficulties associated with differential imaging.
An example of the second type might be contrasting images obtained during stimulation with vertical gratings with those obtained during stimulation with horizontal gratings in an attempt to visualize orientation-selective domains. In some cases, it is straightforward to choose two appropriate conditions for either of the two types described. In other cases it is much more difficult, and sometimes impossible, to determine the appropriate control condition or the appropriate complementary conditions.
In vivo optical imaging of brain function by Ron D. Frostig