@article{1387568,
      recid = {1387568},
      author = {Kriegeskorte, Nikolaus, and Kreiman, Gabriel,},
      title = {Visual population codes : toward a common multivariate  framework for cell recording and functional imaging.},
      pages = {1 online resource.},
      abstract = {How visual content is represented in neuronal population  codes and how to analyze such codes with multivariate  techniques. Vision is a massively parallel computational  process, in which the retinal image is transformed over a  sequence of stages so as to emphasize behaviorally relevant  information (such as object category and identity) and  deemphasize other information (such as viewpoint and  lighting). The processes behind vision operate by  concurrent computation and message passing among neurons  within a visual area and between different areas. The  theoretical concept of "population code" encapsulates the  idea that visual content is represented at each stage by  the pattern of activity across the local population of  neurons. Understanding visual population codes ultimately  requires multichannel measurement and multivariate analysis  of activity patterns. Over the past decade, the  multivariate approach has gained significant momentum in  vision research. Functional imaging and cell recording  measure brain activity in fundamentally different ways, but  they now use similar theoretical concepts and mathematical  tools in their modeling and analyses. With a focus on the  ventral processing stream thought to underlie object  recognition, this book presents recent advances in our  understanding of visual population codes, novel  multivariate pattern-information analysis techniques, and  the beginnings of a unified perspective for cell recording  and functional imaging. It serves as an introduction,  overview, and reference for scientists and students across  disciplines who are interested in human and primate vision  and, more generally, in understanding how the brain  represents and processes information.},
      url = {http://library.usi.edu/record/1387568},
}