Using Visual Latencies to Improve Image Segmentation
暂无分享,去创建一个
[1] W. Levick. Variation in the response latency of cat retinal ganglion cells. , 1973, Vision research.
[2] H. Wässle,et al. Response latency of brisk‐sustained (X) and brisk‐transient (Y) cells in the cat retina , 1982, The Journal of physiology.
[3] S. Whittaker,et al. Origin of wavelets in the visual evoked potential. , 1983, Electroencephalography and clinical neurophysiology.
[4] J. T. Enright. On pulfrich-illusion eye movements and accommodation vergence during visual pursuit , 1985, Vision Research.
[5] K. Kratz,et al. Visual latency of ganglion X- and Y-cells: A comparison with geniculate X- and Y-cells , 1987, Vision Research.
[6] G. Edelman,et al. Reentrant signaling among simulated neuronal groups leads to coherency in their oscillatory activity. , 1989, Proceedings of the National Academy of Sciences of the United States of America.
[7] G. Orban,et al. Response latencies of visual cells in macaque areas V1, V2 and V5 , 1989, Brain Research.
[8] R. Freeman,et al. A physiological correlate of the pulfrich effect in cortical neurons of the cat , 1989, Vision Research.
[9] W. Singer,et al. Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties , 1989, Nature.
[10] S. Strogatz,et al. Synchronization of pulse-coupled biological oscillators , 1990 .
[11] T. Pun,et al. Figure-ground separation: evidence for asynchronous processing in visual perception? , 1991 .
[12] C. Koch,et al. A detailed model of the primary visual pathway in the cat: comparison of afferent excitatory and intracortical inhibitory connection schemes for orientation selectivity , 1991, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[13] B J Richmond,et al. Concurrent processing and complexity of temporally encoded neuronal messages in visual perception. , 1991, Science.
[14] G. Edelman,et al. Reentry and the problem of integrating multiple cortical areas: simulation of dynamic integration in the visual system. , 1992, Cerebral cortex.
[15] C. Koch,et al. An oscillation-based model for the neuronal basis of attention , 1993, Vision Research.
[16] D. V. van Essen,et al. A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[17] A. Aertsen. Brain theory : spatio-temporal aspects of brain function , 1993 .
[18] R. Eckhorn,et al. High frequency (60-90 Hz) oscillations in primary visual cortex of awake monkey. , 1993, Neuroreport.
[19] Winfried A. Fellenz,et al. A Sequential Model for Attentive Object Selection , 1994 .
[20] Thierry Pun,et al. Asynchrony in image analysis: using the luminance-to-response-latency relationship to improve segmentation , 1994 .
[21] D. Burr,et al. Selective suppression of the magnocellular visual pathway during saccadic eye movements , 1994, Nature.
[22] M. Posner,et al. Attentional networks , 1994, Trends in Neurosciences.
[23] H. Dinse,et al. The timing of processing along the visual pathway in the cat. , 1994, Neuroreport.
[24] Christoph von der Malsburg,et al. The Correlation Theory of Brain Function , 1994 .
[25] Christof Koch,et al. Control of Selective Visual Attention: Modeling the Where Pathway , 1995, NIPS.
[26] J. J. Hopfield,et al. Pattern recognition computation using action potential timing for stimulus representation , 1995, Nature.
[27] R. Desimone,et al. Neural mechanisms of selective visual attention. , 1995, Annual review of neuroscience.
[28] S. Nelson,et al. An emergent model of orientation selectivity in cat visual cortical simple cells , 1995, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[29] W Singer,et al. Visual feature integration and the temporal correlation hypothesis. , 1995, Annual review of neuroscience.
[30] F. Wörgötter,et al. Utilizing latency for object recognition in real and artificial neural networks , 1996, Neuroreport.
[31] K. Funke,et al. On the significance of temporally structured activity in the dorsal lateral geniculate nucleus (LGN) , 1997, Progress in Neurobiology.
[32] Florentin Wörgötter,et al. Introducing visual latencies into spin-lattice models for image segmentation: a neuromorphic approach to a computer vision problem , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).