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      Characterizing the sparseness of neural codes

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      Network: Computation in Neural Systems
      Informa UK Limited

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          Sparse coding with an overcomplete basis set: A strategy employed by V1?

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            Normalization of cell responses in cat striate cortex.

            D. Heeger (1992)
            Simple cells in the striate cortex have been depicted as half-wave-rectified linear operators. Complex cells have been depicted as energy mechanisms, constructed from the squared sum of the outputs of quadrature pairs of linear operators. However, the linear/energy model falls short of a complete explanation of striate cell responses. In this paper, a modified version of the linear/energy model is presented in which striate cells mutually inhibit one another, effectively normalizing their responses with respect to stimulus contrast. This paper reviews experimental measurements of striate cell responses, and shows that the new model explains a significantly larger body of physiological data.
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              Relations between the statistics of natural images and the response properties of cortical cells

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                Author and article information

                Journal
                Network: Computation in Neural Systems
                Network: Computation in Neural Systems
                Informa UK Limited
                0954-898X
                1361-6536
                August 04 2009
                January 2001
                August 04 2009
                January 2001
                : 12
                : 3
                : 255-270
                Article
                10.1080/net.12.3.255.270
                11563529
                cea76d65-c6f7-4524-a3b7-6c75c29fef3a
                © 2001
                History

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