Characterizing the sparseness of neural codes
暂无分享,去创建一个
[1] D. Hubel,et al. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex , 1962, The Journal of physiology.
[2] J. Movshon,et al. Spatial summation in the receptive fields of simple cells in the cat's striate cortex. , 1978, The Journal of physiology.
[3] J. Daugman. Two-dimensional spectral analysis of cortical receptive field profiles , 1980, Vision Research.
[4] S Marcelja,et al. Mathematical description of the responses of simple cortical cells. , 1980, Journal of the Optical Society of America.
[5] J. Movshon,et al. The statistical reliability of signals in single neurons in cat and monkey visual cortex , 1983, Vision Research.
[6] D. Field,et al. The structure and symmetry of simple-cell receptive-field profiles in the cat’s visual cortex , 1986, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[7] J. P. Jones,et al. An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex. , 1987, Journal of neurophysiology.
[8] G. J. Burton,et al. Color and spatial structure in natural scenes. , 1987, Applied optics.
[9] D J Field,et al. Relations between the statistics of natural images and the response properties of cortical cells. , 1987, Journal of the Optical Society of America. A, Optics and image science.
[10] D. Tolhurst. The amount of information transmitted about contrast by neurones in the cat's visual cortex , 1989, Visual Neuroscience.
[11] Bernhard Wegmann,et al. Statistical dependence between orientation filter outputs used in a human-vision-based image code , 1990, Other Conferences.
[12] Edmund T. Rolls,et al. What determines the capacity of autoassociative memories in the brain? Network , 1991 .
[13] D. Tolhurst,et al. Amplitude spectra of natural images. , 1992, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.
[14] Leslie S. Smith,et al. The principal components of natural images , 1992 .
[15] D. Heeger. Normalization of cell responses in cat striate cortex , 1992, Visual Neuroscience.
[16] I. Ohzawa,et al. Spatiotemporal organization of simple-cell receptive fields in the cat's striate cortex. I. General characteristics and postnatal development. , 1993, Journal of neurophysiology.
[17] Pierre Comon,et al. Independent component analysis, A new concept? , 1994, Signal Process..
[18] David J. Field,et al. What Is the Goal of Sensory Coding? , 1994, Neural Computation.
[19] E T Rolls,et al. Sparseness of the neuronal representation of stimuli in the primate temporal visual cortex. , 1995, Journal of neurophysiology.
[20] C. Fyfe,et al. Finding compact and sparse-distributed representations of visual images , 1995 .
[21] R. Baddeley,et al. Searching for filters with 'interesting' output distributions: an uninteresting direction to explore? , 1996, Network.
[22] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.
[23] William B. Levy,et al. Energy Efficient Neural Codes , 1996, Neural Computation.
[24] R W Prager,et al. Development of low entropy coding in a recurrent network. , 1996, Network.
[25] L. Abbott,et al. Responses of neurons in primary and inferior temporal visual cortices to natural scenes , 1997, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[26] David J. Field,et al. Sparse coding with an overcomplete basis set: A strategy employed by V1? , 1997, Vision Research.
[27] Terrence J. Sejnowski,et al. The “independent components” of natural scenes are edge filters , 1997, Vision Research.
[28] Gabriel Cristóbal,et al. Image Representation with Gabor Wavelets and Its Applications , 1997 .
[29] J. V. van Hateren,et al. Independent component filters of natural images compared with simple cells in primary visual cortex , 1998, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[30] D. Ruderman,et al. INDEPENDENT COMPONENT ANALYSIS OF NATURAL IMAGE SEQUENCES YIELDS SPATIOTEMPORAL FILTERS SIMILAR TO SIMPLE CELLS IN PRIMARY VISUAL CORTEX , 1998 .
[31] J L Gallant,et al. Sparse coding and decorrelation in primary visual cortex during natural vision. , 2000, Science.
[32] B Willmore,et al. A Comparison of Natural-Image-Based Models of Simple-Cell Coding , 2000, Perception.
[33] Sparseness and kurtosis of computational models of simple-cell coding in primary visual cortex , 2000 .