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Nonlinear Multivariate Analysis of Neurophysiological Signals
- Progress in Neurobiology
, 2005
"... Multivariate time series analysis is extensively used in neurophysiology with the aim of studying the relationship between simultaneously recorded signals. Recently, advances on information theory and nonlinear dynamical systems theory have allowed the study of various types of synchronization from ..."
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Cited by 107 (5 self)
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Multivariate time series analysis is extensively used in neurophysiology with the aim of studying the relationship between simultaneously recorded signals. Recently, advances on information theory and nonlinear dynamical systems theory have allowed the study of various types of synchronization from time series. In this work, we first describe the multivariate linear methods most commonly used in neurophysiology and show that they can be extended to assess the existence of nonlinear interdependences between signals. We then review the concepts of entropy and mutual information followed by a detailed description of nonlinear methods based on the concepts of phase synchronization, generalized synchronization and event synchronization. In all cases, we show how to apply these methods to study different kinds of neurophysiological data. Finally, we illustrate the use of multivariate surrogate data test for the assessment of the strength (strong or weak) and the type (linear or nonlinear) of interdependence between neurophysiological signals.
R (2005) LFP power spectra in V1 cortex: the graded effect of stimulus contrast
- J Neurophysiol
"... First published February 9, 2005; doi:10.1152/jn.00919.2004. We recorded local field potentials (LFPs) and single-unit activity simultaneously in the macaque primary visual cortex (V1) and studied their responses to drifting sinusoidal gratings that were chosen to be “optimal ” for the single units. ..."
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Cited by 67 (1 self)
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First published February 9, 2005; doi:10.1152/jn.00919.2004. We recorded local field potentials (LFPs) and single-unit activity simultaneously in the macaque primary visual cortex (V1) and studied their responses to drifting sinusoidal gratings that were chosen to be “optimal ” for the single units. Over all stimulus conditions, the LFP spectra have much greater power in the low-frequency band (�10 Hz) than higher frequencies and can be described as “1/f. ” Analysis of the total power limited to the low, gamma (25–90 Hz), or broad (8–240 Hz) frequency bands of the LFP as a function of stimulus contrast indicates that the LFP power gradually increases with stimulus strength across a wide band in a manner roughly comparable to the increase in the simultaneously recorded spike activity. However, the low-frequency band power remains approximately constant across all stimulus contrasts. More specifically the gamma-band LFP power increases differentially more with respect to baseline than either higher or lower bands as stimulus contrast increases. At the highest stimulus contrasts, we report as others have previously, that the power spectrum of the LFP typically contains an obvious peak in the gamma-frequency band. The gamma-band peak emerges from the overall broadband enhancement in LFP power at stimulus contrasts where most single units ’ responses have begun to saturate. The temporal/spectral structures of the LFP located in the gamma band— which become most evident at the highest contrasts—provide additional constraints on potential mechanisms underlying the stimulus response properties of spiking neurons in V1.
Timing and neural encoding of somatosensory parametric working memory in macaque prefrontal cortex.
- Cereb. Cortex
, 2003
"... We trained monkeys to compare the frequencies of two mechanical vibrations applied sequentially to the tip of a finger and to report which of the two stimuli had the higher frequency. This task requires remembering the first frequency during the delay period between the two stimuli. Recordings were ..."
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Cited by 51 (7 self)
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We trained monkeys to compare the frequencies of two mechanical vibrations applied sequentially to the tip of a finger and to report which of the two stimuli had the higher frequency. This task requires remembering the first frequency during the delay period between the two stimuli. Recordings were made from neurons in the inferior convexity of the prefrontal cortex (PFC) while the monkeys performed the task. We report neurons that fire persistently during the delay period, with a firing rate that is a monotonic function of the frequency of the first stimulus. Separately from, and in addition to, their correlation with the first stimulus, the delay period firing rates of these neurons were correlated with the behavior of the monkey, in a manner consistent with their interpretation as the neural substrate of working memory during the task. Most neurons had firing rates that varied systematically with time during the delay period. We suggest that this time-dependent activity may encode time itself and may be an intrinsic part of active memory maintenance mechanisms.
Massively parallel recording of unit and local field potentials with silicon-based electrodes
- J. Neurophysiol
, 2003
"... doi: 10.1152/jn.00116.2003 You might find this additional info useful... This article cites 57 articles, 21 of which you can access for free at: ..."
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Cited by 38 (6 self)
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doi: 10.1152/jn.00116.2003 You might find this additional info useful... This article cites 57 articles, 21 of which you can access for free at:
On the Variability of Manual Spike Sorting
- IEEE Transactions on Biomedical Engineering
, 2004
"... The analysis of action potentials, or spikes, is central to systems neuroscience research. Spikes are typically identified from raw waveforms manually for off-line analysis or automatically by human-configured algorithms for on-line applications. The variability of manual spike sorting is studied an ..."
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Cited by 33 (6 self)
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The analysis of action potentials, or spikes, is central to systems neuroscience research. Spikes are typically identified from raw waveforms manually for off-line analysis or automatically by human-configured algorithms for on-line applications. The variability of manual spike sorting is studied and its implications for neural prostheses discussed. Waveforms were recorded using a micro-electrode array and were used to construct a statistically similar synthetic dataset. Results showed wide variability in the number of neurons and spikes detected in real data. Additionally, average error rates of 23% false positive and 30% false negative were found for synthetic data.
Temporally irregular mnemonic persistent activity in prefrontal neurons of monkeys during a delayed response task
- Journal of neurophysiology
, 2003
"... and Xiao-Jing Wang. Temporally irregular mnemonic persistent activity in prefrontal neurons of monkeys during a delayed response task. J Neurophysiol 90: 3441–3454, 2003. First published May 28, 2003; 10.1152/jn.00949.2002. An important question in neuroscience is whether and how temporal patterns a ..."
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Cited by 30 (2 self)
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and Xiao-Jing Wang. Temporally irregular mnemonic persistent activity in prefrontal neurons of monkeys during a delayed response task. J Neurophysiol 90: 3441–3454, 2003. First published May 28, 2003; 10.1152/jn.00949.2002. An important question in neuroscience is whether and how temporal patterns and fluctuations in neuronal spike trains contribute to information processing in the cortex. We have addressed this issue in the memory-related circuits of the pre-frontal cortex by analyzing spike trains from a database of 229 neurons recorded in the dorsolateral prefrontal cortex of 4 macaque monkeys during the performance of an oculomotor delayed-response task. For each task epoch, we have estimated their power spectrum together with interspike interval histograms and autocorrelograms. We find that 1) the properties of most (about 60%) neurons approx-imated the characteristics of a Poisson process. For about 25 % of cells, with characteristics typical of interneurons, the power spectrum
Visual grouping and the focusing of attention induce gamma-band oscillations at different frequencies in human magnetoencephalogram signals
- J Cogn Neurosci
, 2006
"... & Neural oscillatory synchrony could implement grouping pro-cesses, act as an attentional filter, or foster the storage of in-formation in short-term memory. Do these findings indicate that oscillatory synchrony is an unspecific epiphenomenon oc-curring in any demanding task, or that oscillatory ..."
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Cited by 21 (2 self)
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& Neural oscillatory synchrony could implement grouping pro-cesses, act as an attentional filter, or foster the storage of in-formation in short-term memory. Do these findings indicate that oscillatory synchrony is an unspecific epiphenomenon oc-curring in any demanding task, or that oscillatory synchrony is a fundamental mechanism involved whenever neural coopera-tion is requested? If the latter hypothesis is true, then oscilla-tory synchrony should be specific, with distinct visual processes eliciting different types of oscillations. We recorded magneto-encephalogram (MEG) signals while manipulating the grouping properties of a visual display on the one hand, and the focus-ing of attention to memorize part of this display on the other hand. Grouping-related gamma oscillations were present in all conditions but modulated by the grouping properties of
Local field potential spectral tuning in motor cortex during reaching.
- IEEE Trans.Neural Syst.Rehabil.Eng. Jun
, 2006
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Contributions of intrinsic membrane dynamics to fast network oscillations with irregular neuronal discharges
- J. Neurophysiol
, 2005
"... doi: 10.1152/jn.00510.2004 You might find this additional info useful... This article cites 68 articles, 38 of which you can access for free at: ..."
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Cited by 19 (1 self)
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doi: 10.1152/jn.00510.2004 You might find this additional info useful... This article cites 68 articles, 38 of which you can access for free at: