Layer 3 Dynamically Coordinates Columnar Activity According to Spatial Context
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Laura Busse | Gijs Plomp | Ivan Larderet | Matilde Fiorini | L. Busse | Ivan Larderet | Gijs Plomp | Matilde Fiorini
[1] J. B. Levitt,et al. Comparison of Spatial Summation Properties of Neurons in Macaque V1 and V2 , 2009, Journal of neurophysiology.
[2] Qing Nie,et al. Primary visual cortex shows laminar‐specific and balanced circuit organization of excitatory and inhibitory synaptic connectivity , 2016, The Journal of physiology.
[3] Hualou Liang,et al. Synergistic Processing of Visual Contours across Cortical Layers in V1 and V2 , 2017, Neuron.
[4] K. Harris,et al. Laminar Structure of Spontaneous and Sensory-Evoked Population Activity in Auditory Cortex , 2009, Neuron.
[5] R. D. D'Souza,et al. A Laminar Organization for Selective Cortico-Cortical Communication , 2017, Front. Neuroanat..
[6] J. Bullier,et al. Corticocortical connections between visual areas 17 and 18a of the rat studied in vitro: spatial and temporal organisation of functional synaptic responses , 1997, Experimental Brain Research.
[7] P. Roelfsema,et al. Alpha and gamma oscillations characterize feedback and feedforward processing in monkey visual cortex , 2014, Proceedings of the National Academy of Sciences.
[8] Matthew R. Krause,et al. Surround suppression and sparse coding in visual and barrel cortices , 2012, Front. Neural Circuits.
[9] Boualem Boashash,et al. Measuring Time-Varying Information Flow in Scalp EEG Signals: Orthogonalized Partial Directed Coherence , 2014, IEEE Transactions on Biomedical Engineering.
[10] T. Wiesel,et al. The influence of contextual stimuli on the orientation selectivity of cells in primary visual cortex of the cat , 1990, Vision Research.
[11] M. Carandini,et al. Vision and Locomotion Shape the Interactions between Neuron Types in Mouse Visual Cortex , 2016, Neuron.
[12] P. Lennie,et al. Local signals from beyond the receptive fields of striate cortical neurons. , 2003, Journal of neurophysiology.
[13] A. Angelucci,et al. Contribution of feedforward, lateral and feedback connections to the classical receptive field center and extra-classical receptive field surround of primate V1 neurons. , 2006, Progress in brain research.
[14] Y. Dan,et al. Long-range and local circuits for top-down modulation of visual cortex processing , 2014, Science.
[15] C. Koch,et al. The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes , 2012, Nature Reviews Neuroscience.
[16] Y. Chino,et al. Receptive‐field properties of V1 and V2 neurons in mice and macaque monkeys , 2010, The Journal of comparative neurology.
[17] Xiao-Jing Wang,et al. A disinhibitory circuit motif and flexible information routing in the brain , 2018, Current Opinion in Neurobiology.
[18] J. Nelson,et al. Orientation-selective inhibition from beyond the classic visual receptive field , 1978, Brain Research.
[19] C. Schroeder,et al. Neuronal Mechanisms of Cortical Alpha Oscillations in Awake-Behaving Macaques , 2008, The Journal of Neuroscience.
[20] Edward M. Reingold,et al. Graph drawing by force‐directed placement , 1991, Softw. Pract. Exp..
[21] J. B. Levitt,et al. Circuits for Local and Global Signal Integration in Primary Visual Cortex , 2002, The Journal of Neuroscience.
[22] Xiaolong Jiang,et al. The organization of two new cortical interneuronal circuits , 2013, Nature Neuroscience.
[23] Katarzyna J. Blinowska,et al. Determination of EEG activity propagation: pair-wise versus multichannel estimate , 2004, IEEE Transactions on Biomedical Engineering.
[24] Klas H. Pettersen,et al. Laminar population analysis: estimating firing rates and evoked synaptic activity from multielectrode recordings in rat barrel cortex. , 2007, Journal of neurophysiology.
[25] J. Allman,et al. Stimulus specific responses from beyond the classical receptive field: neurophysiological mechanisms for local-global comparisons in visual neurons. , 1985, Annual review of neuroscience.
[26] L. Busse,et al. Spatial integration in mouse primary visual cortex. , 2013, Journal of neurophysiology.
[27] A. Thomson,et al. Interlaminar connections in the neocortex. , 2003, Cerebral cortex.
[28] J. Movshon,et al. Nature and interaction of signals from the receptive field center and surround in macaque V1 neurons. , 2002, Journal of neurophysiology.
[29] Luiz A. Baccalá,et al. Partial directed coherence: a new concept in neural structure determination , 2001, Biological Cybernetics.
[30] Peter Dayan,et al. Cortical Surround Interactions and Perceptual Salience via Natural Scene Statistics , 2012, PLoS Comput. Biol..
[31] Jason C. Wester,et al. Columnar Interactions Determine Horizontal Propagation of Recurrent Network Activity in Neocortex , 2012, The Journal of Neuroscience.
[32] Nikola T. Markov,et al. Anatomy of hierarchy: Feedforward and feedback pathways in macaque visual cortex , 2013, The Journal of comparative neurology.
[33] Farran Briggs,et al. Distinct Mechanisms for Size Tuning in Primate Visual Cortex , 2011, The Journal of Neuroscience.
[34] B. Zemelman,et al. The columnar and laminar organization of inhibitory connections to neocortical excitatory cells , 2010, Nature Neuroscience.
[35] S. Hestrin,et al. Morphology and Physiology of Cortical Neurons in Layer I , 1996, The Journal of Neuroscience.
[36] Lynn Hazan,et al. Klusters, NeuroScope, NDManager: A free software suite for neurophysiological data processing and visualization , 2006, Journal of Neuroscience Methods.
[37] Laura Astolfi,et al. Tracking the Time-Varying Cortical Connectivity Patterns by Adaptive Multivariate Estimators , 2008, IEEE Transactions on Biomedical Engineering.
[38] P. J. Sjöström,et al. Functional specificity of local synaptic connections in neocortical networks , 2011, Nature.
[39] J. Csicsvari,et al. Intracellular features predicted by extracellular recordings in the hippocampus in vivo. , 2000, Journal of neurophysiology.
[40] Nicolas J. Kerscher,et al. State-dependent receptive-field restructuring in the visual cortex , 1998, Nature.
[41] Pieter R. Roelfsema,et al. Texture Segregation Causes Early Figure Enhancement and Later Ground Suppression in Areas V1 and V4 of Visual Cortex , 2016, Cerebral cortex.
[42] Hillel Adesnik,et al. A direct translaminar inhibitory circuit tunes cortical output , 2015, Nature Neuroscience.
[43] Arno C. Schmitt,et al. Robustness of sensory-evoked excitation is increased by inhibitory inputs to distal apical tuft dendrites , 2015, Proceedings of the National Academy of Sciences.
[44] H. Adesnik,et al. A neural circuit for spatial summation in visual cortex , 2012, Nature.
[45] A. Burkhalter,et al. Hierarchical organization of areas in rat visual cortex , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[46] D. Fitzpatrick,et al. Orientation Selectivity and the Arrangement of Horizontal Connections in Tree Shrew Striate Cortex , 1997, The Journal of Neuroscience.
[47] A. Raftery. Bayesian Model Selection in Social Research , 1995 .
[48] Steven L. Bressler,et al. Wiener–Granger Causality: A well established methodology , 2011, NeuroImage.
[49] Pascal Fries,et al. Gamma Synchronization between V1 and V4 Improves Behavioral Performance , 2018, Neuron.
[50] A. Angelucci,et al. Circuits and Mechanisms for Surround Modulation in Visual Cortex. , 2017, Annual review of neuroscience.
[51] Quanxin Wang,et al. Modularity in the Organization of Mouse Primary Visual Cortex , 2015, Neuron.
[52] Anil K. Seth,et al. The MVGC multivariate Granger causality toolbox: A new approach to Granger-causal inference , 2014, Journal of Neuroscience Methods.
[53] J. Lund,et al. Widespread periodic intrinsic connections in the tree shrew visual cortex. , 1982, Science.
[54] A. Seth,et al. Granger Causality Analysis in Neuroscience and Neuroimaging , 2015, The Journal of Neuroscience.
[55] B. Sakmann,et al. A new cellular mechanism for coupling inputs arriving at different cortical layers , 1999, Nature.
[56] C. Granger. Investigating Causal Relations by Econometric Models and Cross-Spectral Methods , 1969 .
[57] H. Kennedy,et al. Visual Areas Exert Feedforward and Feedback Influences through Distinct Frequency Channels , 2014, Neuron.
[58] W. Martin Usrey,et al. Origin and Dynamics of Extraclassical Suppression in the Lateral Geniculate Nucleus of the Macaque Monkey , 2008, Neuron.
[59] Henk Spekreijse,et al. Neural responses in cat visual cortex reflect state changes in correlated activity , 2005, The European journal of neuroscience.
[60] S. Bressler,et al. Beta oscillations in a large-scale sensorimotor cortical network: directional influences revealed by Granger causality. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[61] Laura Astolfi,et al. A new Kalman filter approach for the estimation of high-dimensional time-variant multivariate AR models and its application in analysis of laser-evoked brain potentials , 2010, NeuroImage.
[62] Andreas K. Engel,et al. Oscillatory Synchronization in Large-Scale Cortical Networks Predicts Perception , 2011, Neuron.
[63] Hannah Monyer,et al. NMDA Receptor Ablation on Parvalbumin-Positive Interneurons Impairs Hippocampal Synchrony, Spatial Representations, and Working Memory , 2010, Neuron.
[64] G. Shepherd,et al. The neocortical circuit: themes and variations , 2015, Nature Neuroscience.
[65] Klas H. Pettersen,et al. Current-source density estimation based on inversion of electrostatic forward solution: Effects of finite extent of neuronal activity and conductivity discontinuities , 2006, Journal of Neuroscience Methods.
[66] P. Roelfsema,et al. Chronic multiunit recordings in behaving animals: advantages and limitations. , 2005, Progress in brain research.
[67] Andrew S. Johnson,et al. Beyond Columnar Organization: Cell Type- and Target Layer-Specific Principles of Horizontal Axon Projection Patterns in Rat Vibrissal Cortex , 2015, Cerebral cortex.
[68] U. Mitzdorf. Current source-density method and application in cat cerebral cortex: investigation of evoked potentials and EEG phenomena. , 1985, Physiological reviews.
[69] H. Adesnik,et al. Lateral competition for cortical space by layer-specific horizontal circuits , 2010, Nature.
[70] A. Angelucci,et al. Top-down feedback controls spatial summation and response amplitude in primate visual cortex , 2018, Nature Communications.
[71] Gijs Plomp,et al. Systematic population spike delays across cortical layers within and between primary sensory areas , 2017, Scientific Reports.
[72] A. Burkhalter,et al. Patterns of synaptic activity in forward and feedback pathways within rat visual cortex. , 1995, Journal of neurophysiology.
[73] M. Carandini,et al. Locomotion Controls Spatial Integration in Mouse Visual Cortex , 2013, Current Biology.
[74] Christine M Constantinople,et al. Deep Cortical Layers Are Activated Directly by Thalamus , 2013, Science.
[75] H. Jeffreys. A Treatise on Probability , 1922, Nature.
[76] P Heggelund,et al. Dynamics of spatial resolution of single units in the lateral geniculate nucleus of cat during brief visual stimulation. , 2007, Journal of neurophysiology.
[77] Patrick Dupont,et al. Comparison of different Kalman filter approaches in deriving time varying connectivity from EEG data , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[78] H. Kennedy,et al. Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas , 2016, Neuron.
[79] Ian Nauhaus,et al. Contrast Dependence and Differential Contributions from Somatostatin- and Parvalbumin-Expressing Neurons to Spatial Integration in Mouse V1 , 2013, The Journal of Neuroscience.
[80] P. C. Murphy,et al. Spatial summation in lateral geniculate nucleus and visual cortex , 2000, Experimental Brain Research.
[81] Patrick L Purdon,et al. A study of problems encountered in Granger causality analysis from a neuroscience perspective , 2017, Proceedings of the National Academy of Sciences.
[82] Quanxin Wang,et al. Multiple Distinct Subtypes of GABAergic Neurons in Mouse Visual Cortex Identified by Triple Immunostaining , 2007, Frontiers in neuroanatomy.
[83] Jeffry S. Isaacson,et al. Network-Level Control of Frequency Tuning in Auditory Cortex , 2017, Neuron.
[84] S. Grossberg,et al. Towards a theory of the laminar architecture of cerebral cortex: computational clues from the visual system. , 2003, Cerebral cortex.
[85] R. Quian Quiroga,et al. Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering , 2004, Neural Computation.
[86] Dario L Ringach,et al. Dynamics of receptive field size in primary visual cortex. , 2007, Journal of neurophysiology.
[87] D. V. van Essen,et al. Neuronal responses to static texture patterns in area V1 of the alert macaque monkey. , 1992, Journal of neurophysiology.
[88] Stefano Panzeri,et al. Modelling and analysis of local field potentials for studying the function of cortical circuits , 2013, Nature Reviews Neuroscience.
[89] Ovidiu F. Jurjuţ,et al. Effects of Locomotion Extend throughout the Mouse Early Visual System , 2014, Current Biology.
[90] Sooyoung Chung,et al. Functional imaging with cellular resolution reveals precise micro-architecture in visual cortex , 2005, Nature.
[91] J. Movshon,et al. Dynamics of Suppression in Macaque Primary Visual Cortex , 2006, The Journal of Neuroscience.
[92] Gaute T. Einevoll,et al. Coarse-to-Fine Changes of Receptive Fields in Lateral Geniculate Nucleus Have a Transient and a Sustained Component That Depend on Distinct Mechanisms , 2011, PloS one.
[93] Laura Astolfi,et al. Dynamic connectivity among cortical layers in local and large‐scale sensory processing , 2014, The European journal of neuroscience.
[94] P. Fries,et al. Robust Gamma Coherence between Macaque V1 and V2 by Dynamic Frequency Matching , 2013, Neuron.
[95] Hillel Adesnik,et al. Surround Integration Organizes a Spatial Map during Active Sensation , 2017, Neuron.
[96] T. Wiesel,et al. Clustered intrinsic connections in cat visual cortex , 1983, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[97] C. Blakemore,et al. Lateral inhibition between orientation detectors in the cat's visual cortex , 2004, Experimental Brain Research.
[98] Evan S. Schaffer,et al. Inhibitory Stabilization of the Cortical Network Underlies Visual Surround Suppression , 2009, Neuron.
[99] A. von Stein,et al. Different frequencies for different scales of cortical integration: from local gamma to long range alpha/theta synchronization. , 2000, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[100] C. Gilbert,et al. Interactions between feedback and lateral connections in the primary visual cortex , 2017, Proceedings of the National Academy of Sciences.
[101] Joris Vangeneugden,et al. Orientation-Tuned Surround Suppression in Mouse Visual Cortex , 2014, The Journal of Neuroscience.
[102] A. Burkhalter,et al. Conserved patterns of cortico-cortical connections define areal hierarchy in rat visual cortex , 2004, Experimental Brain Research.
[103] Jordi Soriano,et al. Function follows dynamics, not (only) structure: from neural cultures to flexible information routing in the brain , 2014 .
[104] A. Cichocki,et al. Estimate of Causality Between Independent Cortical Spatial Patterns During Movement Volition in Spinal Cord Injured Patients , 2007, Brain Topography.
[105] Andrew D Huberman,et al. Diverse Visual Features Encoded in Mouse Lateral Geniculate Nucleus , 2013, The Journal of Neuroscience.
[106] Jeffrey N. Rouder,et al. Bayesian t tests for accepting and rejecting the null hypothesis , 2009, Psychonomic bulletin & review.
[107] M. Carandini,et al. Normalization as a canonical neural computation , 2011, Nature Reviews Neuroscience.
[108] Y. Saalmann,et al. The Pulvinar Regulates Information Transmission Between Cortical Areas Based on Attention Demands , 2012, Science.
[109] G. Leuba,et al. Postnatal development of the mouse cerebral neocortex. II. Quantitative cytoarchitectonics of visual and auditory areas. , 1977, Journal fur Hirnforschung.
[110] Laura Astolfi,et al. Assessing cortical functional connectivity by partial directed coherence: simulations and application to real data , 2006, IEEE Transactions on Biomedical Engineering.
[111] I. Ohzawa,et al. Length and width tuning of neurons in the cat's primary visual cortex. , 1994, Journal of neurophysiology.
[112] Richard T Born,et al. Corticocortical Feedback Contributes to Surround Suppression in V1 of the Alert Primate , 2013, The Journal of Neuroscience.
[113] Laura Astolfi,et al. The physiological plausibility of time-varying Granger-causal modeling: Normalization and weighting by spectral power , 2014, NeuroImage.
[114] C. Granger. Investigating causal relations by econometric models and cross-spectral methods , 1969 .
[115] Mingzhou Ding,et al. Assessing Granger Causality in Electrophysiological Data: Removing the Adverse Effects of Common Signals via Bipolar Derivations , 2016, Front. Syst. Neurosci..
[116] Michael J Hawken,et al. Functional Characterization of the Extraclassical Receptive Field in Macaque V1: Contrast, Orientation, and Temporal Dynamics , 2013, The Journal of Neuroscience.
[117] Jonathan D. Victor,et al. Possible functions of contextual modulations and receptive field nonlinearities: Pop-out and texture segmentation , 2014, Vision Research.