Evaluating information transfer between auditory cortical neurons.
暂无分享,去创建一个
[1] Schreiber,et al. Measuring information transfer , 2000, Physical review letters.
[2] Stanley Fahn. Recent Advances in EEG and EMG Data Processing , 1983, Neurology.
[3] G. P. Moore,et al. Neuronal spike trains and stochastic point processes. II. Simultaneous spike trains. , 1967, Biophysical journal.
[4] A. M. Sillito,et al. Orientation sensitive elements in the corticofugal influence on centre-surround interactions in the dorsal lateral geniculate nucleus , 1993, Experimental Brain Research.
[5] J. Eggermont,et al. Cross-correlation and joint spectro-temporal receptive field properties in auditory cortex. , 2005, Journal of neurophysiology.
[6] V. Mountcastle,et al. NEURAL ACTIVITY IN MECHANORECEPTIVE CUTANEOUS AFFERENTS: STIMULUS-RESPONSE RELATIONS, WEBER FUNCTIONS, AND INFORMATION TRANSMISSION. , 1965, Journal of neurophysiology.
[7] M. Diamond,et al. Population Coding of Stimulus Location in Rat Somatosensory Cortex , 2001, Neuron.
[9] J. Eggermont,et al. Spatial representation of neural responses to natural and altered conspecific vocalizations in cat auditory cortex. , 2007, Journal of neurophysiology.
[10] W. Spain,et al. Linear to supralinear summation of AMPA-mediated EPSPs in neocortical pyramidal neurons. , 2000, Journal of neurophysiology.
[11] Daeyeol Lee,et al. Neural Noise and Movement-Related Codes in the Macaque Supplementary Motor Area , 2003, The Journal of Neuroscience.
[12] C. Hung,et al. Weakly modulated spike trains: significance, precision, and correction for sample size. , 2002, Journal of neurophysiology.
[13] C. Sotelo,et al. Ultrastructural features of the isolated suprasylvian gyrus in the cat , 1974, The Journal of comparative neurology.
[14] A. Aertsen,et al. Representation of cooperative firing activity among simultaneously recorded neurons. , 1985, Journal of neurophysiology.
[15] Katarzyna J. Blinowska,et al. A new method of the description of the information flow in the brain structures , 1991, Biological Cybernetics.
[16] Jos J. Eggermont,et al. Neural connectivity only accounts for a small part of neural correlation in auditory cortex , 1996, Experimental Brain Research.
[17] Christian W. Eurich,et al. Representational Accuracy of Stochastic Neural Populations , 2002, Neural Computation.
[18] M. Young,et al. Correlations, feature‐binding and population coding in primary visual cortex , 2003, Neuroreport.
[19] Daeyeol Lee,et al. Coding and transmission of information by neural ensembles , 2004, Trends in Neurosciences.
[20] Stefano Panzeri,et al. A critical assessment of different measures of the information carried by correlated neuronal firing. , 2002, Bio Systems.
[21] J. Victor. Binless strategies for estimation of information from neural data. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.
[22] J. Eggermont,et al. Effects of Noise-Induced Hearing Loss at Young Age on Voice Onset Time and Gap-in-Noise Representations in Adult Cat Primary Auditory Cortex , 2006, Journal of the Association for Research in Otolaryngology.
[23] F. Mechler,et al. Independent and Redundant Information in Nearby Cortical Neurons , 2001, Science.
[24] Idan Segev,et al. The information efficacy of a synapse , 2002, Nature Neuroscience.
[25] George L. Gerstein,et al. Feature-linked synchronization of thalamic relay cell firing induced by feedback from the visual cortex , 1994, Nature.
[26] P. Latham,et al. Synergy, Redundancy, and Independence in Population Codes, Revisited , 2005, The Journal of Neuroscience.
[27] R. Willison. Recent Advances in EEG and EMG Data Processing , 1982 .
[28] P. Latham,et al. Retinal ganglion cells act largely as independent encoders , 2001, Nature.
[29] H. Sompolinsky,et al. Population coding in neuronal systems with correlated noise. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.
[30] Ehud Zohary,et al. Correlated neuronal discharge rate and its implications for psychophysical performance , 1994, Nature.
[31] William B. Kristan,et al. Quantifying Stimulus Discriminability: A Comparison of Information Theory and Ideal Observer Analysis , 2005, Neural Computation.
[32] Neil Davey,et al. High capacity, small world associative memory models , 2006, Connect. Sci..
[33] H. Vincent Poor,et al. An Introduction to Signal Detection and Estimation , 1994, Springer Texts in Electrical Engineering.
[34] Michael J. Berry,et al. Synergy, Redundancy, and Independence in Population Codes , 2003, The Journal of Neuroscience.
[35] 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.
[36] Jos J Eggermont,et al. Neuronal responses in cat primary auditory cortex to natural and altered species-specific calls , 2000, Hearing Research.
[37] Xiaoqin Wang,et al. Neural representations of temporally asymmetric stimuli in the auditory cortex of awake primates. , 2001, Journal of neurophysiology.
[38] M. Margulis,et al. Temporal integration can readily switch between sublinear and supralinear summation. , 1998, Journal of neurophysiology.
[39] Alexander Borst,et al. Information theory and neural coding , 1999, Nature Neuroscience.
[40] A. Zador,et al. Neural representation and the cortical code. , 2000, Annual review of neuroscience.
[41] David R. Cox,et al. The statistical analysis of series of events , 1966 .
[42] N Suga,et al. Corticofugal Modulation of Time-Domain Processing of Biosonar Information in Bats , 1996, Science.
[43] J. Hertz,et al. Adjacent visual cortical complex cells share about 20% of their stimulus-related information. , 1996, Cerebral cortex.
[44] Régine Le Bouquin-Jeannès,et al. Linear and nonlinear causality between signals: methods, examples and neurophysiological applications , 2006, Biological Cybernetics.
[45] J. Deuchars,et al. Synaptic interactions in neocortical local circuits: dual intracellular recordings in vitro. , 1997, Cerebral cortex.
[46] Jan W. H. Schnupp,et al. Plasticity of Temporal Pattern Codes for Vocalization Stimuli in Primary Auditory Cortex , 2006, The Journal of Neuroscience.
[47] M. Laubach,et al. Redundancy and Synergy of Neuronal Ensembles in Motor Cortex , 2005, The Journal of Neuroscience.
[48] Terrence J. Sejnowski,et al. An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.
[49] James J. Wright,et al. Intracortical connectivity of pyramidal and stellate cells: estimates of synaptic densities and coupling symmetry , 1994 .
[50] K O Johnson,et al. Sensory discrimination: decision process. , 1980, Journal of neurophysiology.
[51] G. Gerstein,et al. Networks with lateral connectivity. I. dynamic properties mediated by the balance of intrinsic excitation and inhibition. , 1996, Journal of neurophysiology.
[52] M. Nicolelis,et al. Immediate thalamic sensory plasticity depends on corticothalamic feedback. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[53] M. Diamond,et al. Population coding in somatosensory cortex , 2002, Current Opinion in Neurobiology.
[54] Gal Chechik,et al. Reduction of Information Redundancy in the Ascending Auditory Pathway , 2006, Neuron.
[55] R. Yuste,et al. Input Summation by Cultured Pyramidal Neurons Is Linear and Position-Independent , 1998, The Journal of Neuroscience.
[56] Jan J. Koenderink,et al. Information in channel-coded systems: correlated receivers , 1992, Biological Cybernetics.
[57] R. Yuste,et al. Linear Summation of Excitatory Inputs by CA1 Pyramidal Neurons , 1999, Neuron.
[58] E. Oja,et al. Independent Component Analysis , 2013 .
[59] K Prank,et al. Coding efficiency and information rates in transmembrane signaling. , 2000, Bio Systems.
[60] R. Moddemeijer. On estimation of entropy and mutual information of continuous distributions , 1989 .
[61] Uri T Eden,et al. A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects. , 2005, Journal of neurophysiology.
[62] Prof. Dr. Dr. Valentino Braitenberg,et al. Cortex: Statistics and Geometry of Neuronal Connectivity , 1998, Springer Berlin Heidelberg.
[63] Stefano Panzeri,et al. A Unified Approach to the Study of Temporal, Correlational, and Rate Coding , 1999, Neural Computation.
[64] Jerome A. Feldman,et al. Dynamic connections in neural networks , 1990, Biological Cybernetics.
[65] Apostolos P. Georgopoulos,et al. Neural activity in prefrontal cortex during copying geometrical shapes , 2003, Experimental Brain Research.
[66] Daeyeol Lee,et al. Activity in the supplementary motor area related to learning and performance during a sequential visuomotor task. , 2003, Journal of neurophysiology.
[67] F. Wilcoxon. Individual Comparisons by Ranking Methods , 1945 .
[68] George L. Gerstein,et al. Neural assemblies: technical issues, analysis, and modeling , 2001, Neural Networks.
[69] V. Mountcastle,et al. THE VARIABILITY OF CENTRAL NEURAL ACTIVITY IN A SENSORY SYSTEM, AND ITS IMPLICATIONS FOR THE CENTRAL REFLECTION OF SENSORY EVENTS. , 1963, Journal of neurophysiology.
[70] A. Pouget,et al. Tuning curve sharpening for orientation selectivity: coding efficiency and the impact of correlations , 2004, Nature Neuroscience.
[71] Stefan Wermter,et al. Temporal sequence detection with spiking neurons: towards recognizing robot language instructions , 2006, Connect. Sci..
[72] William Bialek,et al. Reading a Neural Code , 1991, NIPS.
[73] J. Donoghue,et al. Neuronal Interactions Improve Cortical Population Coding of Movement Direction , 1999, The Journal of Neuroscience.
[74] 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.
[75] Terrence J. Sejnowski,et al. Inhibition synchronizes sparsely connected cortical neurons within and between columns in realistic network models , 1996, Journal of Computational Neuroscience.
[76] Sen Song,et al. Highly Nonrandom Features of Synaptic Connectivity in Local Cortical Circuits , 2005, PLoS biology.
[77] C. Schreiner,et al. Temporal processing in cat primary auditory cortex. , 1997, Acta oto-laryngologica. Supplementum.
[78] Bernhard Hellwig,et al. A quantitative analysis of the local connectivity between pyramidal neurons in layers 2/3 of the rat visual cortex , 2000, Biological Cybernetics.
[79] Koichi Sameshima,et al. Using partial directed coherence to describe neuronal ensemble interactions , 1999, Journal of Neuroscience Methods.
[80] G. Gerstein,et al. “A model of cortically induced synchronization in the lateral geniculate nucleus of the cat: a role for low-threshold calcium channels” [Vision Research 38(13), 2007–2022] , 1999, Vision Research.
[81] Jerald D. Kralik,et al. Real-time prediction of hand trajectory by ensembles of cortical neurons in primates , 2000, Nature.
[82] E N Brown,et al. A Statistical Paradigm for Neural Spike Train Decoding Applied to Position Prediction from Ensemble Firing Patterns of Rat Hippocampal Place Cells , 1998, The Journal of Neuroscience.
[83] J. A. Movshon,et al. The dependence of response amplitude and variance of cat visual cortical neurones on stimulus contrast , 1981, Experimental Brain Research.
[84] Si Wu,et al. Population Coding with Correlation and an Unfaithful Model , 2001, Neural Computation.
[85] J J Eggermont,et al. Neural interaction in cat primary auditory cortex II. Effects of sound stimulation. , 1994, Journal of neurophysiology.
[86] Xiaoqin Wang,et al. Cortical processing of temporal modulations , 2003, Speech Commun..
[87] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.
[88] J. Eggermont. Is There a Neural Code? , 1998, Neuroscience & Biobehavioral Reviews.
[89] B. Richmond,et al. Using response models to estimate channel capacity for neuronal classification of stationary visual stimuli using temporal coding. , 1999, Journal of neurophysiology.
[90] José María Amigó,et al. Estimating the Entropy Rate of Spike Trains via Lempel-Ziv Complexity , 2004, Neural Computation.
[91] J. Eggermont. Properties of correlated neural activity clusters in cat auditory cortex resemble those of neural assemblies. , 2006, Journal of neurophysiology.
[92] Richard A. Johnson,et al. Applied Multivariate Statistical Analysis , 1983 .
[93] Asif A Ghazanfar,et al. Hebb's Dream: The Resurgence of Cell Assemblies , 1997, Neuron.
[94] J. Eggermont. Temporal modulation transfer functions in cat primary auditory cortex: separating stimulus effects from neural mechanisms. , 2002, Journal of neurophysiology.
[95] Haim Sompolinsky,et al. Nonlinear Population Codes , 2004, Neural Computation.
[96] A. Georgopoulos,et al. Parietal representation of hand velocity in a copy task. , 2005, Journal of neurophysiology.
[97] J. Eggermont. Sound-induced synchronization of neural activity between and within three auditory cortical areas. , 2000, Journal of neurophysiology.
[98] R. Kass,et al. Multiple neural spike train data analysis: state-of-the-art and future challenges , 2004, Nature Neuroscience.
[99] P. Goldman-Rakic,et al. Correlated discharges among putative pyramidal neurons and interneurons in the primate prefrontal cortex. , 2002, Journal of neurophysiology.
[100] Moshe Abeles,et al. Corticonics: Neural Circuits of Cerebral Cortex , 1991 .
[101] C. Granger. Investigating causal relations by econometric models and cross-spectral methods , 1969 .
[102] A. P. Georgopoulos,et al. Variability and Correlated Noise in the Discharge of Neurons in Motor and Parietal Areas of the Primate Cortex , 1998, The Journal of Neuroscience.
[103] B J Richmond,et al. Excess synchrony in motor cortical neurons provides redundant direction information with that from coarse temporal measures. , 2001, Journal of neurophysiology.
[104] K. Saberi,et al. Cognitive restoration of reversed speech , 1999, Nature.
[105] Xiaoqin Wang,et al. Differential representation of species-specific primate vocalizations in the auditory cortices of marmoset and cat. , 2001, Journal of neurophysiology.
[106] David Willshaw,et al. Capacity and information efficiency of the associative net , 1997 .
[107] G. Jumarie. Relative Information: Theories and Applications , 2011 .
[108] M. Basseville. Distance measures for signal processing and pattern recognition , 1989 .
[109] Daeyeol Lee,et al. Effects of noise correlations on information encoding and decoding. , 2006, Journal of neurophysiology.
[110] D P Phillips,et al. Responses of single neurons in posterior field of cat auditory cortex to tonal stimulation. , 1984, Journal of neurophysiology.
[111] E T Rolls,et al. Correlations and the encoding of information in the nervous system , 1999, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[112] J. Eggermont,et al. Separating local from global effects in neural pair correlograms. , 1995, Neuroreport.
[113] G. P. Moore,et al. Neuronal spike trains and stochastic point processes. I. The single spike train. , 1967, Biophysical journal.
[114] Steven Reece,et al. An information theoretic approach to the contributions of the firing rates and the correlations between the firing of neurons. , 2003, Journal of neurophysiology.
[115] T. Tsumoto,et al. Change of conduction velocity by regional myelination yields constant latency irrespective of distance between thalamus and cortex , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[116] Y. Dan,et al. Coding of visual information by precisely correlated spikes in the lateral geniculate nucleus , 1998, Nature Neuroscience.
[117] William Bialek,et al. Spikes: Exploring the Neural Code , 1996 .
[118] William Bialek,et al. Entropy and Information in Neural Spike Trains , 1996, cond-mat/9603127.
[119] George L. Gerstein,et al. Improvements to the Sensitivity of Gravitational Clustering for Multiple Neuron Recordings , 2000, Neural Computation.
[120] Craig Hiemstra,et al. Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation , 1994 .
[121] J. M. Hupé,et al. Cortical feedback improves discrimination between figure and background by V1, V2 and V3 neurons , 1998, Nature.
[122] L. Paninski,et al. Spatiotemporal tuning of motor cortical neurons for hand position and velocity. , 2004, Journal of neurophysiology.
[123] R. Romo,et al. Correlated Neuronal Discharges that Increase Coding Efficiency during Perceptual Discrimination , 2003, Neuron.
[124] Leslie G. Valiant,et al. A Quantitative Theory of Neural Computation , 2006, Biological Cybernetics.
[125] S. Panzeri,et al. An exact method to quantify the information transmitted by different mechanisms of correlational coding. , 2003, Network.
[126] T. Sejnowski,et al. Control of Spatiotemporal Coherence of a Thalamic Oscillation by Corticothalamic Feedback , 1996, Science.
[127] Michael J. Berry,et al. Redundancy in the Population Code of the Retina , 2005, Neuron.
[128] R. Shapley,et al. Information Tuning of Populations of Neurons in Primary Visual Cortex , 2004, The Journal of Neuroscience.
[129] G. Casella,et al. Statistical Inference , 2003, Encyclopedia of Social Network Analysis and Mining.
[130] J J Eggermont,et al. Synchrony between single-unit activity and local field potentials in relation to periodicity coding in primary auditory cortex. , 1995, Journal of neurophysiology.
[131] Colin Blakemore,et al. Patterns of Local Connectivity in the Neocortex , 1993, Neural Computation.