On the use of information theory for the analysis of the relationship between neural and imaging signals.

[1]  William Bialek,et al.  Entropy and information in neural spike trains: progress on the sampling problem. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[2]  Robert T. Knight,et al.  Spatio-temporal information analysis of event-related BOLD responses , 2007, NeuroImage.

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

[4]  Karl J. Friston,et al.  Analysis of fMRI Time-Series Revisited , 1995, NeuroImage.

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

[6]  I. Fried,et al.  Coupling between Neuronal Firing Rate, Gamma LFP, and BOLD fMRI Is Related to Interneuronal Correlations , 2007, Current Biology.

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

[8]  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.

[9]  G. Buzsáki.  Theta Oscillations in the Hippocampus , 2002, Neuron.

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

[11]  A. Walden,et al.  Spectral analysis for physical applications : multitaper and conventional univariate techniques , 1996 .

[12]  L. Paninski,et al.  Information about movement direction obtained from synchronous activity of motor cortical neurons. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[13]  R. Turner,et al.  Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

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

[15]  Ying Zheng,et al.  The Hemodynamic Impulse Response to a Single Neural Event , 2003, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[16]  N. Logothetis,et al.  Neurophysiological investigation of the basis of the fMRI signal , 2001, Nature.

[17]  L. Pessoa,et al.  Decoding near-threshold perception of fear from distributed single-trial brain activation. , 2006, Cerebral cortex.

[18]  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.

[19]  Marcelo A. Montemurro,et al.  Tight Data-Robust Bounds to Mutual Information Combining Shuffling and Model Selection Techniques , 2007, Neural Computation.

[20]  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.

[21]  S. Panzeri,et al.  An exact method to quantify the information transmitted by different mechanisms of correlational coding. , 2003, Network.

[22]  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.

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

[24]  F. Hyder,et al.  Cerebral energetics and spiking frequency: The neurophysiological basis of fMRI , 2002, Proceedings of the National Academy of Sciences of the United States of America.

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

[26]  N. Logothetis.  The Underpinnings of the BOLD Functional Magnetic Resonance Imaging Signal , 2003, The Journal of Neuroscience.

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

[28]  Stefano Panzeri,et al.  Functional imaging and neural information coding , 2004, NeuroImage.

[29]  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.

[30]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[31]  Karl J. Friston,et al.  Analysis of fMRI Time-Series Revisited—Again , 1995, NeuroImage.

[32]  C. Mathiesen,et al.  Modification of activity‐dependent increases of cerebral blood flow by excitatory synaptic activity and spikes in rat cerebellar cortex , 1998, The Journal of physiology.

[33]  N. Logothetis,et al.  Negative functional MRI response correlates with decreases in neuronal activity in monkey visual area V1 , 2006, Nature Neuroscience.

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

[35]  P. Latham,et al.  Synergy, Redundancy, and Independence in Population Codes, Revisited , 2005, The Journal of Neuroscience.

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

[37]  Karl J. Friston,et al.  Statistical parametric maps in functional imaging: A general linear approach , 1994 .

[38]  Ravi S. Menon,et al.  Intrinsic signal changes accompanying sensory stimulation: functional brain mapping with magnetic resonance imaging. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[39]  Arthur Gretton,et al.  Inferring spike trains from local field potentials. , 2008, Journal of neurophysiology.

[40]  W. Singer,et al.  Hemodynamic Signals Correlate Tightly with Synchronized Gamma Oscillations , 2005, Science.

[41]  R. Buxton.  Introduction to Functional Magnetic Resonance Imaging: Principles and Techniques , 2002 .

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

[43]  P. König,et al.  A comparison of hemodynamic and neural responses in cat visual cortex using complex stimuli. , 2004, Cerebral cortex.