Natural signal statistics and sensory gain control. Export

@article{citeulike:92872, abstract = {We describe a form of nonlinear decomposition that is well-suited for efficient encoding of natural signals. Signals are initially decomposed using a bank of linear filters. Each filter response is then rectified and divided by a weighted sum of rectified responses of neighboring filters. We show that this decomposition, with parameters optimized for the statistics of a generic ensemble of natural images or sounds, provides a good characterization of the nonlinear response properties of typical neurons in primary visual cortex or auditory nerve, respectively. These results suggest that nonlinear response properties of sensory neurons are not an accident of biological implementation, but have an important functional role.}, address = {Center for Neural Science, New York University, 4 Washington Place, Room 809, New York, New York 10003, USA.}, author = {Schwartz, O. and Simoncelli, E. P.}, citeulike-article-id = {92872}, citeulike-linkout-0 = {http://dx.doi.org/10.1038/90526}, citeulike-linkout-1 = {http://dx.doi.org/10.1038/nn0801_819}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/11477428}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=11477428}, doi = {10.1038/90526}, issn = {1097-6256}, journal = {Nat Neurosci}, keywords = {auditory, cat, electrophysiology, model, monkey, normalization, v1, vision}, month = {August}, number = {8}, pages = {819--825}, posted-at = {2008-10-30 15:49:12}, priority = {0}, title = {Natural signal statistics and sensory gain control.}, url = {http://dx.doi.org/10.1038/90526}, volume = {4}, year = {2001} }

TY - JOUR ID - citeulike:92872 L3 - citeulike-article-id:92872 N2 - We describe a form of nonlinear decomposition that is well-suited for efficient encoding of natural signals. Signals are initially decomposed using a bank of linear filters. Each filter response is then rectified and divided by a weighted sum of rectified responses of neighboring filters. We show that this decomposition, with parameters optimized for the statistics of a generic ensemble of natural images or sounds, provides a good characterization of the nonlinear response properties of typical neurons in primary visual cortex or auditory nerve, respectively. These results suggest that nonlinear response properties of sensory neurons are not an accident of biological implementation, but have an important functional role. IS - 8 JF - Nat Neurosci SN - 1097-6256 AD - Center for Neural Science, New York University, 4 Washington Place, Room 809, New York, New York 10003, USA. EP - 825 TI - Natural signal statistics and sensory gain control. VL - 4 SP - 819 KW - auditory KW - cat KW - electrophysiology KW - model KW - monkey KW - normalization KW - v1 KW - vision AU - Schwartz, O AU - Simoncelli, EP PY - 2001/08// UR - http://dx.doi.org/10.1038/90526 ER -