Aging affects response variability of V1 and MT neurons in rhesus monkeys
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Guangxing Li | Yifeng Zhou | Yongchang Wang | Yun Yang | Z. Liang | Yifeng Zhou | Yongchang Wang | Yun Yang | Zhen Liang | Guangxing Li | Zhen Liang
[1] P. Atchley,et al. The effect of age, retinal eccentricity, and speed on the detection of optic flow components. , 1998, Psychology and aging.
[2] Jocelyn Faubert,et al. Visual perception and aging. , 2002, Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale.
[3] T. Nealey,et al. Magnocellular and parvocellular contributions to responses in the middle temporal visual area (MT) of the macaque monkey , 1990, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[4] R. Snowden,et al. Motion Perception in the Ageing Visual System: Minimum Motion, Motion Coherence, and Speed Discrimination Thresholds , 2006, Perception.
[5] R. Sekuler,et al. Improving visual perception in older observers. , 1986, Journal of gerontology.
[6] Yuanye Ma,et al. Degradation of signal timing in cortical areas V1 and V2 of senescent monkeys. , 2005, Cerebral cortex.
[7] J. A. Movshon,et al. The dependence of response amplitude and variance of cat visual cortical neurones on stimulus contrast , 1981, Experimental Brain Research.
[8] A. Grinvald,et al. Linking spontaneous activity of single cortical neurons and the underlying functional architecture. , 1999, Science.
[9] Jocelyn Faubert,et al. Aging and bilateral symmetry detection. , 2002, The journals of gerontology. Series B, Psychological sciences and social sciences.
[10] J. Tigges,et al. Survival rate and life span of rhesus monkeys at the Yerkes regional primate research center , 1988, American journal of primatology.
[11] A. Grinvald,et al. Spontaneously emerging cortical representations of visual attributes , 2003, Nature.
[12] K. H. Britten,et al. Neuronal correlates of a perceptual decision , 1989, Nature.
[13] D. Butts,et al. Tuning Curves, Neuronal Variability, and Sensory Coding , 2006, PLoS biology.
[14] W. Newsome,et al. The Variable Discharge of Cortical Neurons: Implications for Connectivity, Computation, and Information Coding , 1998, The Journal of Neuroscience.
[15] M. Carandini,et al. Stimulus dependence of two-state fluctuations of membrane potential in cat visual cortex , 2000, Nature Neuroscience.
[16] Haim Sompolinsky,et al. Patterns of Ongoing Activity and the Functional Architecture of the Primary Visual Cortex , 2004, Neuron.
[17] D L Rosene,et al. Feature article: are neurons lost from the primate cerebral cortex during normal aging? , 1998, Cerebral cortex.
[18] James M. Bower,et al. Computational Neuroscience: Trends in Research , 1996 .
[19] J. Movshon,et al. The statistical reliability of signals in single neurons in cat and monkey visual cortex , 1983, Vision Research.
[20] F. Morrell,et al. Hippocampal markers of age-related memory dysfunction: Behavioral, electrophysiological and morphological perspectives , 1995, Progress in Neurobiology.
[21] Bernhard Ronacher,et al. Single auditory neurons rapidly discriminate conspecific communication signals , 2003, Nature Neuroscience.
[22] A. Leventhal,et al. Functional degradation of extrastriate visual cortex in senescent rhesus monkeys , 2006, Neuroscience.
[23] J. Morrison,et al. Life and death of neurons in the aging brain. , 1997, Science.
[24] Kelvin E. Jones,et al. Neuronal variability: noise or part of the signal? , 2005, Nature Reviews Neuroscience.
[25] John P. Miller,et al. Assessing the Performance of Neural Encoding Models in the Presence of Noise , 2000, Journal of Computational Neuroscience.
[26] Patrick R Hof,et al. Life and death of neurons in the aging cerebral cortex. , 2007, International review of neurobiology.
[27] Yuanye Ma,et al. Aging affects the neural representation of speed in Macaque area MT. , 2009, Cerebral cortex.
[28] A. Leventhal,et al. Aging affects contrast response functions and adaptation of middle temporal visual area neurons in rhesus monkeys , 2008, Neuroscience.
[29] A. Welford. Between bodily changes and performance: some possible reasons for slowing with age. , 1984, Experimental aging research.
[30] William R. Softky,et al. Comparison of discharge variability in vitro and in vivo in cat visual cortex neurons. , 1996, Journal of neurophysiology.
[31] Jie Zhang,et al. Aging affects the direction selectivity of MT cells in rhesus monkeys , 2010, Neurobiology of Aging.
[32] C. Gray,et al. Cellular Mechanisms Contributing to Response Variability of Cortical Neurons In Vivo , 1999, The Journal of Neuroscience.
[33] Christian Casanova,et al. On the use of isoflurane versus halothane in the study of visual response properties of single cells in the primary visual cortex , 2003, Journal of Neuroscience Methods.
[34] M. Chacron,et al. Neural Variability, Detection Thresholds, and Information Transmission in the Vestibular System , 2007, Journal of Neuroscience.
[35] D. Bradley,et al. Structure and function of visual area MT. , 2005, Annual review of neuroscience.
[36] R. Sekuler,et al. 180-183 of Volume 8 Age-Related Changes , Optical Factors , and Neural Processes , 2002 .
[37] Lihua He,et al. Functional degradation of visual cortical cells in old cats , 2006, Neurobiology of Aging.
[38] Dario L. Ringach. Neuroscience: States of mind , 2003, Nature.
[39] A. Grinvald,et al. Dynamics of Ongoing Activity: Explanation of the Large Variability in Evoked Cortical Responses , 1996, Science.
[40] J. Tigges,et al. Ocular measurements throughout the adult life span of rhesus monkeys. , 2003, Investigative ophthalmology & visual science.
[41] Andrea Hasenstaub,et al. Barrages of Synaptic Activity Control the Gain and Sensitivity of Cortical Neurons , 2003, The Journal of Neuroscience.
[42] S. Treue,et al. The response of neurons in areas V1 and MT of the alert rhesus monkey to moving random dot patterns , 2005, Experimental Brain Research.
[43] H. Markram,et al. Interneurons of the neocortical inhibitory system , 2004, Nature Reviews Neuroscience.
[44] J. Norman,et al. Aging and the Perception of Speed , 2003, Perception.
[45] P. Bennett,et al. Effects of aging on calculation efficiency and equivalent noise. , 1999, Journal of the Optical Society of America. A, Optics, image science, and vision.
[46] Haim Sompolinsky,et al. Irregular firing in cortical circuits with inhibition/excitation balance , 1997 .
[47] R. Yuste,et al. Attractor dynamics of network UP states in the neocortex , 2003, Nature.
[48] G. Orban,et al. The response variability of striate cortical neurons in the behaving monkey , 2004, Experimental Brain Research.
[49] P. D. Spear,et al. Neural bases of visual deficits during aging , 1993, Vision Research.
[50] A. Leventhal,et al. GABA and Its Agonists Improved Visual Cortical Function in Senescent Monkeys , 2003, Science.
[51] D. Hubel,et al. Receptive fields and functional architecture of monkey striate cortex , 1968, The Journal of physiology.
[52] R. Sekuler,et al. The effects of aging on motion detection and direction identification , 2007, Vision Research.
[53] R. Douglas,et al. Neuronal circuits of the neocortex. , 2004, Annual review of neuroscience.
[54] G. A. Orban,et al. Quantitative study of striate single unit responses in monkeys performing an orientation discrimination task , 2004, Experimental Brain Research.
[55] D. Snodderly,et al. High response reliability of neurons in primary visual cortex (V1) of alert, trained monkeys. , 2006, Cerebral cortex.
[56] A. Leventhal,et al. Concomitant sensitivity to orientation, direction, and color of cells in layers 2, 3, and 4 of monkey striate cortex , 1995, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[57] D H Brainard,et al. The Psychophysics Toolbox. , 1997, Spatial vision.
[58] Carrie J. McAdams,et al. Effects of Attention on the Reliability of Individual Neurons in Monkey Visual Cortex , 1999, Neuron.
[59] P. Bennett,et al. Effects of aging on the useful field of view. , 2000, Experimental aging research.
[60] R. Reid,et al. Low Response Variability in Simultaneously Recorded Retinal, Thalamic, and Cortical Neurons , 2000, Neuron.
[61] G. DeAngelis,et al. A Logarithmic, Scale-Invariant Representation of Speed in Macaque Middle Temporal Area Accounts for Speed Discrimination Performance , 2005, The Journal of Neuroscience.
[62] Christopher Patrick Taylor,et al. Aging Reduces Center-Surround Antagonism in Visual Motion Processing , 2005, Neuron.
[63] A. Destexhe,et al. Impact of spontaneous synaptic activity on the resting properties of cat neocortical pyramidal neurons In vivo. , 1998, Journal of neurophysiology.
[64] D G Pelli,et al. The VideoToolbox software for visual psychophysics: transforming numbers into movies. , 1997, Spatial vision.
[65] E. Masliah,et al. Quantitative synaptic alterations in the human neocortex during normal aging , 1993, Neurology.
[66] M. Carandini. Amplification of Trial-to-Trial Response Variability by Neurons in Visual Cortex , 2004, PLoS biology.
[67] D. Ferster,et al. Synchronous Membrane Potential Fluctuations in Neurons of the Cat Visual Cortex , 1999, Neuron.
[68] A. Leventhal,et al. Degradation of stimulus selectivity of visual cortical cells in senescent rhesus monkeys , 2000, Nature Neuroscience.
[69] D. Snodderly,et al. Response Variability of Neurons in Primary Visual Cortex (V1) of Alert Monkeys , 1997, The Journal of Neuroscience.