State Dependence of Noise Correlations in Macaque Primary Visual Cortex

[1]  Gregory C. DeAngelis,et al.  Functional Organization in the Absence of an Orientation Map The Structure of Pairwise Correlation in Mouse Primary Visual Cortex Reveals , 2015 .

[2]  Diego Contreras,et al.  The structure of pairwise correlation in mouse primary visual cortex reveals functional organization in the absence of an orientation map. , 2014, Cerebral cortex.

[3]  Alexander Thiele,et al.  Attention-Induced Variance and Noise Correlation Reduction in Macaque V1 Is Mediated by NMDA Receptors , 2013, Neuron.

[4]  Marc A Sommer,et al.  Spatial and Temporal Scales of Neuronal Correlation in Visual Area V4 , 2013, The Journal of Neuroscience.

[5]  Adam Kohn,et al.  Laminar dependence of neuronal correlations in visual cortex. , 2013, Journal of neurophysiology.

[6]  M. Carandini,et al.  Inhibition dominates sensory responses in awake cortex , 2012, Nature.

[7]  Maneesh Sahani,et al.  Spectral learning of linear dynamics from generalised-linear observations with application to neural population data , 2012, NIPS.

[8]  Valentin Dragoi,et al.  Correlated Variability in Laminar Cortical Circuits , 2012, Neuron.

[9]  Wei Ji Ma,et al.  A Fast and Simple Population Code for Orientation in Primate V1 , 2012, The Journal of Neuroscience.

[10]  John P. Cunningham,et al.  Empirical models of spiking in neural populations , 2011, NIPS.

[11]  K. Harris,et al.  Cortical state and attention , 2011, Nature Reviews Neuroscience.

[12]  Alexander S. Ecker,et al.  The Effect of Noise Correlations in Populations of Diversely Tuned Neurons , 2011, The Journal of Neuroscience.

[13]  M. Cohen,et al.  Measuring and interpreting neuronal correlations , 2011, Nature Neuroscience.

[14]  Randy M. Bruno,et al.  Effects and Mechanisms of Wakefulness on Local Cortical Networks , 2011, Neuron.

[15]  Liam Paninski,et al.  Kalman Filter Mixture Model for Spike Sorting of Non-stationary Data , 2010 .

[16]  J. Maunsell,et al.  A Neuronal Population Measure of Attention Predicts Behavioral Performance on Individual Trials , 2010, The Journal of Neuroscience.

[17]  Ifije E. Ohiorhenuan,et al.  Sparse coding and high-order correlations in fine-scale cortical networks , 2010, Nature.

[18]  M. Stryker,et al.  Modulation of Visual Responses by Behavioral State in Mouse Visual Cortex , 2010, Neuron.

[19]  P. Dayan,et al.  Supporting Online Material Materials and Methods Som Text Figs. S1 to S9 References the Asynchronous State in Cortical Circuits , 2022 .

[20]  Alexander S. Ecker,et al.  Decorrelated Neuronal Firing in Cortical Microcircuits , 2010, Science.

[21]  Tai Sing Lee,et al.  Local field potentials indicate network state and account for neuronal response variability , 2010, Journal of Computational Neuroscience.

[22]  J. Maunsell,et al.  Attention improves performance primarily by reducing interneuronal correlations , 2009, Nature Neuroscience.

[23]  Michael J. Goard,et al.  Basal Forebrain Activation Enhances Cortical Coding of Natural Scenes , 2009, Nature Neuroscience.

[24]  Jude F. Mitchell,et al.  Spatial Attention Decorrelates Intrinsic Activity Fluctuations in Macaque Area V4 , 2009, Neuron.

[25]  M. A. Smith,et al.  Correlations and brain states: from electrophysiology to functional imaging , 2009, Current Opinion in Neurobiology.

[26]  B. Cumming,et al.  Decision-related activity in sensory neurons reflects more than a neuron’s causal effect , 2009, Nature.

[27]  Eric Shea-Brown,et al.  Stimulus-Dependent Correlations and Population Codes , 2008, Neural Computation.

[28]  John P. Cunningham,et al.  Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity , 2008, NIPS.

[29]  M. A. Smith,et al.  Spatial and Temporal Scales of Neuronal Correlation in Primary Visual Cortex , 2008, The Journal of Neuroscience.

[30]  W. Newsome,et al.  Context-Dependent Changes in Functional Circuitry in Visual Area MT , 2008, Neuron.

[31]  J. Poulet,et al.  Internal brain state regulates membrane potential synchrony in barrel cortex of behaving mice , 2008, Nature.

[32]  Valentin Dragoi,et al.  Adaptive coding of visual information in neural populations , 2008, Nature.

[33]  Alexander S. Ecker,et al.  Recording chronically from the same neurons in awake, behaving primates. , 2007, Journal of neurophysiology.

[34]  A. Pouget,et al.  Neural correlations, population coding and computation , 2006, Nature Reviews Neuroscience.

[35]  T. Blanche,et al.  Polytrodes: high-density silicon electrode arrays for large-scale multiunit recording. , 2005, Journal of neurophysiology.

[36]  M. A. Smith,et al.  Stimulus Dependence of Neuronal Correlation in Primary Visual Cortex of the Macaque , 2005, The Journal of Neuroscience.

[37]  R. Quian Quiroga,et al.  Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering , 2004, Neural Computation.

[38]  M. Bach,et al.  Correlated neuronal variability in monkey visual cortex revealed by a multi-microelectrode , 2004, Experimental Brain Research.

[39]  A. Grinvald,et al.  Interaction of sensory responses with spontaneous depolarization in layer 2/3 barrel cortex , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[40]  Shy Shoham,et al.  Robust, automatic spike sorting using mixtures of multivariate t-distributions , 2003, Journal of Neuroscience Methods.

[41]  K. Miller,et al.  Mechanisms of actions of inhaled anesthetics. , 2003, The New England journal of medicine.

[42]  J. Anthony Movshon,et al.  Cortical responses to visual motion in alert and anesthetized monkeys , 2003, Nature Neuroscience.

[43]  F. Mechler,et al.  Independent and Redundant Information in Nearby Cortical Neurons , 2001, Science.

[44]  H. Sompolinsky,et al.  Population coding in neuronal systems with correlated noise. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[45]  W. Bair,et al.  Correlated Firing in Macaque Visual Area MT: Time Scales and Relationship to Behavior , 2001, The Journal of Neuroscience.

[46]  J. Drummond,et al.  Monitoring depth of anesthesia: with emphasis on the application of the bispectral index and the middle latency auditory evoked response to the prevention of recall. , 2000, Anesthesiology.

[47]  Peter Dayan,et al.  The Effect of Correlated Variability on the Accuracy of a Population Code , 1999, Neural Computation.

[48]  W. Newsome,et al.  The Variable Discharge of Cortical Neurons: Implications for Connectivity, Computation, and Information Coding , 1998, The Journal of Neuroscience.

[49]  J. Movshon,et al.  Linearity and Normalization in Simple Cells of the Macaque Primary Visual Cortex , 1997, The Journal of Neuroscience.

[50]  D H Brainard,et al.  The Psychophysics Toolbox. , 1997, Spatial vision.

[51]  J. Hertz,et al.  Adjacent visual cortical complex cells share about 20% of their stimulus-related information. , 1996, Cerebral cortex.

[52]  Ehud Zohary,et al.  Correlated neuronal discharge rate and its implications for psychophysical performance , 1994, Nature.

[53]  E Pöppel,et al.  Effects of increasing doses of alfentanil, fentanyl and morphine on mid-latency auditory evoked potentials. , 1993, British journal of anaesthesia.

[54]  T. Sejnowski,et al.  Thalamocortical oscillations in the sleeping and aroused brain. , 1993, Science.

[55]  TJ Gawne,et al.  How independent are the messages carried by adjacent inferior temporal cortical neurons? , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[56]  A. Angel,et al.  Central neuronal pathways and the process of anaesthesia. , 1993, British journal of anaesthesia.

[57]  William R. Softky,et al.  The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[58]  K. Stratford,et al.  Synaptic transmission between individual pyramidal neurons of the rat visual cortex in vitro , 1991, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[59]  R. Ward,et al.  Induction of anesthesia with small doses of sufentanil or fentanyl: dose versus EEG response, speed of onset, and thiopental requirement. , 1988, Anesthesiology.

[60]  P. Sebel,et al.  Evoked potentials following diazepam or fentanyl , 1987, Anaesthesia.

[61]  O. Chi,et al.  Effects of isoflurane on visual evoked potentials in humans. , 1986, Anesthesiology.

[62]  E. Adelson,et al.  The analysis of moving visual patterns , 1985 .

[63]  R. L. Valois,et al.  The orientation and direction selectivity of cells in macaque visual cortex , 1982, Vision Research.

[64]  S. Zeki.  Cells responding to changing image size and disparity in the cortex of the rhesus monkey , 1974, The Journal of physiology.

[65]  P. Young,et al.  Time series analysis, forecasting and control , 1972, IEEE Transactions on Automatic Control.

[66]  D. Hubel,et al.  Receptive fields and functional architecture of monkey striate cortex , 1968, The Journal of physiology.

[67]  RussLL L. Ds Vnlos,et al.  SPATIAL FREQUENCY SELECTIVITY OF CELLS IN MACAQUE VISUAL CORTEX , 2022 .