Wed, 20 Aug 2008 21:25:35 BST CiteULike: mrkrause's Prenger http://www.citeulike.org/user/mrkrause/author/Prenger CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/mrkrause/article/2476639 <i>Nature (05 March 2008)</i> Identifying natural images from human brain activity Kendrick Kay Thomas Naselaris Ryan Prenger Jack Gallant doi:10.1038/nature06713 Nature (05 March 2008) 2008-03-06T04:09:09-00:00 2008 Nature 0028-0836 Nature Publishing Group brainthought mri spikeclub strf vision http://www.citeulike.org/user/mrkrause/article/479041 <i>Neural Netw, Vol. 17, No. 5-6. (l 2004), pp. 663-679.</i><br /><br />A key goal in the study of visual processing is to obtain a comprehensive description of the relationship between visual stimuli and neuronal responses. One way to guide the search for models is to use a general nonparametric regression algorithm, such as a neural network. We have developed a multilayer feed-forward network algorithm that can be used to characterize nonlinear stimulus-response mapping functions of neurons in primary visual cortex (area V1) using natural image stimuli. The network is capable of extracting several known V1 response properties such as: orientation and spatial frequency tuning, the spatial phase invariance of complex cells, and direction selectivity. We present details of a method for training networks and visualizing their properties. We also compare how well conventional explicit models and those developed using neural networks can predict novel responses to natural scenes. Nonlinear V1 responses to natural scenes revealed by neural network analysis. R Prenger MC Wu SV David JL Gallant doi:10.1016/j.neunet.2004.03.008 Neural Netw, Vol. 17, No. 5-6. (l 2004), pp. 663-679. 2006-01-24T22:30:33-00:00 2004 Neural Netw 0893-6080 17 5-6 663 679 natural_scenes reverse_correlation v1 vision