Extracting information from neuronal populations : information theory and decoding approaches

[1]  Timothy D. Hanks,et al.  Probabilistic Population Codes for Bayesian Decision Making , 2008, Neuron.

[2]  N. Logothetis.  What we can do and what we cannot do with fMRI , 2008, Nature.

[3]  M. Kilgard,et al.  Cortical activity patterns predict speech discrimination ability , 2008, Nature Neuroscience.

[4]  Arthur Gretton,et al.  Low-Frequency Local Field Potentials and Spikes in Primary Visual Cortex Convey Independent Visual Information , 2008, The Journal of Neuroscience.

[5]  J. Csicsvari,et al.  Theta phase–specific codes for two-dimensional position, trajectory and heading in the hippocampus , 2008, Nature Neuroscience.

[6]  N. Logothetis,et al.  Phase-of-Firing Coding of Natural Visual Stimuli in Primary Visual Cortex , 2008, Current Biology.

[7]  C. Koch,et al.  Decoding visual inputs from multiple neurons in the human temporal lobe. , 2007, Journal of neurophysiology.

[8]  Stefano Panzeri,et al.  Correcting for the sampling bias problem in spike train information measures. , 2007, Journal of neurophysiology.

[9]  Leila Reddy,et al.  Local Field Potentials and Spikes in the Human Medial Temporal Lobe are Selective to Image Category , 2007, Journal of Cognitive Neuroscience.

[10]  M. A. Smith,et al.  The Role of Correlations in Direction and Contrast Coding in the Primary Visual Cortex , 2007, The Journal of Neuroscience.

[11]  J. Anthony Movshon,et al.  Comparison of Recordings from Microelectrode Arrays and Single Electrodes in the Visual Cortex , 2007, The Journal of Neuroscience.

[12]  A. Engel,et al.  Opinion TRENDS in Cognitive Sciences Vol.10 No.12 Single-trial EEG–fMRI reveals the dynamics of cognitive function , 2022 .

[13]  Wei Ji Ma,et al.  Bayesian inference with probabilistic population codes , 2006, Nature Neuroscience.

[14]  M. Diamond,et al.  Deciphering the Spike Train of a Sensory Neuron: Counts and Temporal Patterns in the Rat Whisker Pathway , 2006, The Journal of Neuroscience.

[15]  G. Rees,et al.  Neuroimaging: Decoding mental states from brain activity in humans , 2006, Nature Reviews Neuroscience.

[16]  Jan W. H. Schnupp,et al.  Plasticity of Temporal Pattern Codes for Vocalization Stimuli in Primary Auditory Cortex , 2006, The Journal of Neuroscience.

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

[18]  R. Andersen,et al.  Movement Intention Is Better Predicted than Attention in the Posterior Parietal Cortex , 2006, The Journal of Neuroscience.

[19]  R. Andersen,et al.  Cognitive neural prosthetics. , 2010, Annual review of psychology.

[20]  T. Poggio,et al.  Object Selectivity of Local Field Potentials and Spikes in the Macaque Inferior Temporal Cortex , 2006, Neuron.

[21]  Daeyeol Lee,et al.  Activity in prefrontal cortex during dynamic selection of action sequences , 2006, Nature Neuroscience.

[22]  Michael J. Berry,et al.  Weak pairwise correlations imply strongly correlated network states in a neural population , 2005, Nature.

[23]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .

[24]  Jonathan D Victor,et al.  Approaches to Information-Theoretic Analysis of Neural Activity , 2006, Biological theory.

[25]  C. Koch,et al.  Invariant visual representation by single neurons in the human brain , 2005, Nature.

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

[27]  Arthur B. Yeh,et al.  Fundamentals of Probability and Statistics for Engineers , 2005, Technometrics.

[28]  K. Harris.  Neural signatures of cell assembly organization , 2005, Nature Reviews Neuroscience.

[29]  R. Andersen,et al.  Cortical Local Field Potential Encodes Movement Intentions in the Posterior Parietal Cortex , 2005, Neuron.

[30]  William B. Kristan,et al.  Quantifying Stimulus Discriminability: A Comparison of Information Theory and Ideal Observer Analysis , 2005, Neural Computation.

[31]  R. Andersen,et al.  Selecting the signals for a brain–machine interface , 2004, Current Opinion in Neurobiology.

[32]  D. Knill,et al.  The Bayesian brain: the role of uncertainty in neural coding and computation , 2004, Trends in Neurosciences.

[33]  David Kleinfeld,et al.  Current flow in vibrissa motor cortex can phase-lock with exploratory rhythmic whisking in rat. , 2004, Journal of neurophysiology.

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

[35]  R. Andersen,et al.  Cognitive Control Signals for Neural Prosthetics , 2004, Science.

[36]  M. Diamond,et al.  Whisker Vibration Information Carried by Rat Barrel Cortex Neurons , 2004, The Journal of Neuroscience.

[37]  Andrew B Schwartz,et al.  Cortical neural prosthetics. , 2004, Annual review of neuroscience.

[38]  G. Buzsáki.  Large-scale recording of neuronal ensembles , 2004, Nature Neuroscience.

[39]  R. Kass,et al.  Multiple neural spike train data analysis: state-of-the-art and future challenges , 2004, Nature Neuroscience.

[40]  John P. Miller,et al.  Temporal encoding in nervous systems: A rigorous definition , 1995, Journal of Computational Neuroscience.

[41]  Barry J. Richmond,et al.  Decoding cortical neuronal signals: Network models, information estimation and spatial tuning , 1994, Journal of Computational Neuroscience.

[42]  M. Paradiso,et al.  A theory for the use of visual orientation information which exploits the columnar structure of striate cortex , 2004, Biological Cybernetics.

[43]  R. M. Siegel,et al.  Neurons of area 7 activated by both visual stimuli and oculomotor behavior , 2004, Experimental Brain Research.

[44]  David J. C. MacKay,et al.  Information Theory, Inference, and Learning Algorithms , 2004, IEEE Transactions on Information Theory.

[45]  Michael J. Berry,et al.  Synergy, Redundancy, and Independence in Population Codes , 2003, The Journal of Neuroscience.

[46]  R. Zemel,et al.  Inference and computation with population codes. , 2003, Annual review of neuroscience.

[47]  John O'Keefe,et al.  Independent rate and temporal coding in hippocampal pyramidal cells , 2003, Nature.

[48]  Peter Dayan,et al.  Doubly Distributional Population Codes: Simultaneous Representation of Uncertainty and Multiplicity , 2003, Neural Computation.

[49]  V. Jayaraman,et al.  Intensity versus Identity Coding in an Olfactory System , 2003, Neuron.

[50]  J. Csicsvari,et al.  Massively parallel recording of unit and local field potentials with silicon-based electrodes. , 2003, Journal of neurophysiology.

[51]  Sheila Nirenberg,et al.  Decoding neuronal spike trains: How important are correlations? , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[52]  F. Theunissen.  From synchrony to sparseness , 2003, Trends in Neurosciences.

[53]  M. Goldberg,et al.  Neuronal Activity in the Lateral Intraparietal Area and Spatial Attention , 2003, Science.

[54]  Glenn C. Turner,et al.  Oscillations and Sparsening of Odor Representations in the Mushroom Body , 2002, Science.

[55]  G. Buzsáki,et al.  Spike train dynamics predicts theta-related phase precession in hippocampal pyramidal cells , 2002, Nature.

[56]  M. R. Mehta,et al.  Role of experience and oscillations in transforming a rate code into a temporal code , 2002, Nature.

[57]  Inés Samengo,et al.  Information Loss in an Optimal Maximum Likelihood Decoding , 2001, Neural Computation.

[58]  Bijan Pesaran,et al.  Temporal structure in neuronal activity during working memory in macaque parietal cortex , 2000, Nature Neuroscience.

[59]  K. D. Punta,et al.  An ultra-sparse code underlies the generation of neural sequences in a songbird , 2002 .

[60]  R. Andersen,et al.  Intentional maps in posterior parietal cortex. , 2002, Annual review of neuroscience.

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

[62]  M. Diamond,et al.  Population Coding of Stimulus Location in Rat Somatosensory Cortex , 2001, Neuron.

[63]  A. Ishai,et al.  Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex , 2001, Science.

[64]  P. Lennie,et al.  Information Conveyed by Onset Transients in Responses of Striate Cortical Neurons , 2001, The Journal of Neuroscience.

[65]  T. Sejnowski,et al.  Correlated neuronal activity and the flow of neural information , 2001, Nature Reviews Neuroscience.

[66]  P. Latham,et al.  Retinal ganglion cells act largely as independent encoders , 2001, Nature.

[67]  F. Mechler,et al.  Temporal coding of contrast in primary visual cortex: when, what, and why. , 2001, Journal of neurophysiology.

[68]  M. Diamond,et al.  The Role of Spike Timing in the Coding of Stimulus Location in Rat Somatosensory Cortex , 2001, Neuron.

[69]  Miguel A. L. Nicolelis,et al.  Actions from thoughts , 2001, Nature.

[70]  W. Singer,et al.  Temporal binding and the neural correlates of sensory awareness , 2001, Trends in Cognitive Sciences.

[71]  Peter Dayan,et al.  Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems , 2001 .

[72]  Jerald D. Kralik,et al.  Real-time prediction of hand trajectory by ensembles of cortical neurons in primates , 2000, Nature.

[73]  R. Zemel,et al.  Information processing with population codes , 2000, Nature Reviews Neuroscience.

[74]  R. Reid,et al.  Low Response Variability in Simultaneously Recorded Retinal, Thalamic, and Cortical Neurons , 2000, Neuron.

[75]  R. Reid,et al.  Temporal Coding of Visual Information in the Thalamus , 2000, The Journal of Neuroscience.

[76]  R. Romo,et al.  Periodicity and Firing Rate As Candidate Neural Codes for the Frequency of Vibrotactile Stimuli , 2000, The Journal of Neuroscience.

[77]  J. Csicsvari,et al.  Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements. , 2000, Journal of neurophysiology.

[78]  J D Victor,et al.  Temporal aspects of neural coding in the retina and lateral geniculate. , 1999, Network.

[79]  Alexander Borst,et al.  Information theory and neural coding , 1999, Nature Neuroscience.

[80]  Stefano Panzeri,et al.  On Decoding the Responses of a Population of Neurons from Short Time Windows , 1999, Neural Computation.

[81]  Michael N. Shadlen,et al.  Synchrony Unbound A Critical Evaluation of the Temporal Binding Hypothesis , 1999, Neuron.

[82]  R. Eckhorn,et al.  Visual stimulation elicits locked and induced gamma oscillations in monkey intracortical- and EEG-potentials, but not in human EEG , 1999, Experimental Brain Research.

[83]  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.

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

[85]  E. Rolls,et al.  Head direction cells in the primate pre‐subiculum , 1999, Hippocampus.

[86]  M S Lewicki,et al.  A review of methods for spike sorting: the detection and classification of neural action potentials. , 1998, Network.

[87]  Y. Dan,et al.  Coding of visual information by precisely correlated spikes in the lateral geniculate nucleus , 1998, Nature Neuroscience.

[88]  R. Normann,et al.  Chronic recording capability of the Utah Intracortical Electrode Array in cat sensory cortex , 1998, Journal of Neuroscience Methods.

[89]  D. Perrett,et al.  The `Ideal Homunculus': decoding neural population signals , 1998, Trends in Neurosciences.

[90]  Peter E. Latham,et al.  Statistically Efficient Estimation Using Population Coding , 1998, Neural Computation.

[91]  B L McNaughton,et al.  Interpreting neuronal population activity by reconstruction: unified framework with application to hippocampal place cells. , 1998, Journal of neurophysiology.

[92]  Vladimir Vapnik,et al.  Statistical learning theory , 1998 .

[93]  G. Buzsáki,et al.  Theta oscillations in somata and dendrites of hippocampal pyramidal cells in vivo: Activity‐dependent phase‐precession of action potentials , 1998, Hippocampus.

[94]  Michael J. Berry,et al.  The structure and precision of retinal spike trains. , 1997, Proceedings of the National Academy of Sciences of the United States of America.

[95]  G D Lewen,et al.  Reproducibility and Variability in Neural Spike Trains , 1997, Science.

[96]  R. Andersen,et al.  Coding of intention in the posterior parietal cortex , 1997, Nature.

[97]  A Treves,et al.  On the perceptual structure of face space. , 1997, Bio Systems.

[98]  G. Deco,et al.  An Information-Theoretic Approach to Neural Computing , 1997, Perspectives in Neural Computing.

[99]  William Bialek,et al.  Spikes: Exploring the Neural Code , 1996 .

[100]  T. Sanger,et al.  Probability density estimation for the interpretation of neural population codes. , 1996, Journal of neurophysiology.

[101]  B. Richmond,et al.  Latency: another potential code for feature binding in striate cortex. , 1996, Journal of neurophysiology.

[102]  J. Victor,et al.  Nature and precision of temporal coding in visual cortex: a metric-space analysis. , 1996, Journal of neurophysiology.

[103]  J. J. Hopfield,et al.  Pattern recognition computation using action potential timing for stimulus representation , 1995, Nature.

[104]  W Singer,et al.  Visual feature integration and the temporal correlation hypothesis. , 1995, Annual review of neuroscience.

[105]  L F Abbott,et al.  Decoding neuronal firing and modelling neural networks , 1994, Quarterly Reviews of Biophysics.

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

[107]  James M. Bower,et al.  Computation and Neural Systems , 2014, Springer US.

[108]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[109]  U. Mitzdorf.  Properties of the evoked potential generators: current source-density analysis of visually evoked potentials in the cat cortex. , 1987, The International journal of neuroscience.

[110]  L. Optican,et al.  Temporal encoding of two-dimensional patterns by single units in primate inferior temporal cortex. III. Information theoretic analysis. , 1987, Journal of neurophysiology.

[111]  A. P. Georgopoulos,et al.  Neuronal population coding of movement direction. , 1986, Science.

[112]  M. Alexander,et al.  Principles of Neural Science , 1981 .

[113]  Y Harada,et al.  The calcium component of the action potential in spinal motoneurones of the rat. , 1983, The Journal of physiology.

[114]  D. Robinson,et al.  Parietal association cortex in the primate: sensory mechanisms and behavioral modulations. , 1978, Journal of neurophysiology.

[115]  V. Mountcastle,et al.  Posterior parietal association cortex of the monkey: command functions for operations within extrapersonal space. , 1975, Journal of neurophysiology.

[116]  H. Barlow,et al.  Retinal ganglion cells responding selectively to direction and speed of image motion in the rabbit , 1964, The Journal of physiology.

[117]  W. A. Clark,et al.  Simultaneous Studies of Firing Patterns in Several Neurons , 1964, Science.

[118]  D. Hubel.  Tungsten Microelectrode for Recording from Single Units. , 1957, Science.