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Neuroelectrophysiology Analysis Ontology - Data

Release: 2024-12-06

This version:
http://purl.org/neao/0.1.0/data#
Latest version:
http://purl.org/neao/data#
Revision:
0.1.0
Issued on:
2024-12-06
Authors:
Cristiano Köhler, Forschungszentrum Jülich
Michael Denker, Forschungszentrum Jülich
License:
https://creativecommons.org/licenses/by/4.0/
Visualization:
Visualize with WebVowl
Provenance of this page
Ontology Specification Draft

Introduction back to ToC

This module in the Neuroelectrophysiology Analysis Ontology (NEAO) contains classes that represent data entities in the analysis of neuroelectrophysiology data.

Namespace declarations

Table 1: Namespaces used in the document
dcterms<http://purl.org/dc/terms/>
neao_base<http://purl.org/neao/base#>
neao_data<http://purl.org/neao/data#>
owl<http://www.w3.org/2002/07/owl#>
rdf<http://www.w3.org/1999/02/22-rdf-syntax-ns#>
rdfs<http://www.w3.org/2000/01/rdf-schema#>
skos<http://www.w3.org/2004/02/skos/core#>
vann<http://purl.org/vocab/vann/>
xml<http://www.w3.org/XML/1998/namespace>
xsd<http://www.w3.org/2001/XMLSchema#>

NEAO Data: Overview back to ToC

This ontology has the following classes and properties.

Classes

Data Properties

NEAO Data: Description back to ToC

The classes in this module are subclasses of the Data base class (defined in the base module), and are associated with the distinct steps throughout the analysis (defined in the steps module) by the hasInput and hasOutput object properties.

Additional information on the data entity can be described by using additional classes and properties defined in the base module:

  • The electrophysiology recording source associated with the data can be defined with the hasSource object property that points to individuals of the ElectrophysiologySignalSource class.

  • In addition, information on the structure of the data (e.g., matrix, array) can be provided with the isRepresentedAs object property that points to individuals of the DataRepresentation class.

The objective of NEAO is not to model the sources and formats of the data, but these two classes above can be used as abstractions to align other ontologies that are defined with that purpose.

Finally, several data properties are also defined to provide extended information on the data entity (e.g., isNormalized or isArtificial). These properties can be used to define additional semantic groupings to make inferences on the data and analysis (e.g., artificial data is defined by the ArtificialData class).

Cross-reference for NEAO Data classes, object properties and data properties back to ToC

This section provides details for each class and property defined by NEAO Data.

Classes

analytic signalc back to ToC or Class ToC

IRI: http://purl.org/neao/data#AnalyticSignal

The analytic signal obtained from a time series using the Hilbert transform.
has super-classes
time series c

angular mean of spike phasesc back to ToC or Class ToC

IRI: http://purl.org/neao/data#AngularMeanSpikePhases

The computed angular mean of the spike phases.
has super-classes
data c

artificial datac back to ToC or Class ToC

IRI: http://purl.org/neao/data#ArtificialData

Data that is generated programmatically rather than obtained from experimental recordings.
is equivalent to
is artificial dp value true
has super-classes
data c

ASSET analysis matrixc back to ToC or Class ToC

IRI: http://purl.org/neao/data#ASSETAnalysisMatrix

Data that contains a matrix computed by one of the ASSET analysis substeps, as part of the execution of the ASSET analysis for the detection of neuronal activity patterns.
has super-classes
data c
has sub-classes
ASSET cluster matrix c, ASSET intersection matrix c, ASSET joint probability matrix c, ASSET mask matrix c, ASSET probability matrix c

ASSET cluster matrixc back to ToC or Class ToC

IRI: http://purl.org/neao/data#ASSETClusterMatrix

The cluster matrix (CMAT) computed in the ASSET analysis.
has super-classes
ASSET analysis matrix c

ASSET intersection matrixc back to ToC or Class ToC

IRI: http://purl.org/neao/data#ASSETIntersectionMatrix

The intersection matrix (IMAT) computed in the ASSET analysis.
has super-classes
ASSET analysis matrix c

ASSET joint probability matrixc back to ToC or Class ToC

IRI: http://purl.org/neao/data#ASSETJointProbabilityMatrix

The joint probability matrix (JMAT) computed in the ASSET analysis.
has super-classes
ASSET analysis matrix c

ASSET mask matrixc back to ToC or Class ToC

IRI: http://purl.org/neao/data#ASSETMaskMatrix

The mask matrix (MMAT) computed in the ASSET analysis.
has super-classes
ASSET analysis matrix c

ASSET patternc back to ToC or Class ToC

IRI: http://purl.org/neao/data#ASSETPattern

A neuronal activity pattern obtained by the ASSET analysis. The ASSET patterns are the output of the last substep of the ASSET analysis that identifies the neurons present in each repeated sequence, based on the diagonal structures in the cluster matrix.
has super-classes
neuronal activity pattern c

ASSET probability matrixc back to ToC or Class ToC

IRI: http://purl.org/neao/data#ASSETProbabilityMatrix

The probability matrix (PMAT) computed in the ASSET analysis.
has super-classes
ASSET analysis matrix c

autocorrelation functionc back to ToC or Class ToC

IRI: http://purl.org/neao/data#AutocorrelationFunction

The computed estimator of the autocorrelation function.
has super-classes
autocorrelation measure c

autocorrelation measurec back to ToC or Class ToC

IRI: http://purl.org/neao/data#AutocorrelationMeasure

Data that contains a measure of autocorrelation.
has super-classes
data c
has sub-classes
autocorrelation function c, spike train autocorrelation histogram c

binned spike trainc back to ToC or Class ToC

IRI: http://purl.org/neao/data#BinnedSpikeTrain

The output of applying binning to the input spike train data.
has super-classes
data c

canonical coherencec back to ToC or Class ToC

IRI: http://purl.org/neao/data#CanonicalCoherence

The computed canonical coherence (caCOH).
has super-classes
coherence measure c

Cell Assembly Detection patternc back to ToC or Class ToC

IRI: http://purl.org/neao/data#CellAssemblyDetectionPattern

A neuronal activity pattern obtained by the Cell Assembly Detection (CAD) analysis.
has super-classes
neuronal activity pattern c

change pointc back to ToC or Class ToC

IRI: http://purl.org/neao/data#ChangePoint

A change point identified by the rate change detection multiple filter test.
has super-classes
data c

coefficient of variationc back to ToC or Class ToC

IRI: http://purl.org/neao/data#CV

The computed coefficient of variation (CV).
has super-classes
data c

coefficient of variation of the interspike intervalsc back to ToC or Class ToC

IRI: http://purl.org/neao/data#CVInterspikeIntervals

The computed coefficient of variation (CV) of the interspike intervals (ISIs).
has super-classes
interspike interval variability measure c

coherencec back to ToC or Class ToC

IRI: http://purl.org/neao/data#Coherence

The computed magnitude squared coherence. This is the typical output of a computation estimating coherence, and it is frequently referred as just coherence.
has super-classes
coherence measure c

coherence measurec back to ToC or Class ToC

IRI: http://purl.org/neao/data#CoherenceMeasure

Data that contains a measure of coherence.
has super-classes
data c
has sub-classes
canonical coherence c, coherence c, magnitude coherence c, partial coherence c

coherencyc back to ToC or Class ToC

IRI: http://purl.org/neao/data#Coherency

The computed coherency.
has super-classes
coherency measure c

coherency measurec back to ToC or Class ToC

IRI: http://purl.org/neao/data#CoherencyMeasure

Data that contains a measure of coherency.
has super-classes
data c
has sub-classes
coherency c, imaginary coherency c, maximized imaginary coherency c

complexity distributionc back to ToC or Class ToC

IRI: http://purl.org/neao/data#ComplexityDistribution

The computed complexity distribution across the spike trains.
has super-classes
spike train synchrony measure c

conditional Granger causalityc back to ToC or Class ToC

IRI: http://purl.org/neao/data#ConditionalGrangerCausality

The computed conditional Granger causality.
has super-classes
Granger causality measure c

confidence intervalc back to ToC or Class ToC

IRI: http://purl.org/neao/data#ConfidenceInterval

The computed confidence interval (CI), with the lower and upper limits.
has super-classes
confidence interval measure c

confidence interval measurec back to ToC or Class ToC

IRI: http://purl.org/neao/data#ConfidenceIntervalMeasure

Data that contains the description of a confidence interval (CI).
has super-classes
data c
has sub-classes
confidence interval c, lower limit of confidence interval c, upper limit of confidence interval c

corrected imaginary phase locking valuec back to ToC or Class ToC

IRI: http://purl.org/neao/data#CorrectedImaginaryPhaseLockingValue

The computed corrected imaginary phase locking value (ciPLV).
has super-classes
phase locking value measure c

correlation measurec back to ToC or Class ToC

IRI: http://purl.org/neao/data#CorrelationMeasure

Data that contains a measure of correlation.
has super-classes
data c
has sub-classes
correlation measure c, orthogonalized power envelope correlation c

correlation measurec back to ToC or Class ToC

IRI: http://purl.org/neao/data#SpikeTrainCorrelationMeasure

Data that contains a measure estimating the correlation between spike trains.
has super-classes
correlation measure c
has sub-classes
noise correlations c, spike time tiling coefficient c, spike train Pearson correlation coefficient c

covariancec back to ToC or Class ToC

IRI: http://purl.org/neao/data#Covariance

The computed covariance values between the inputs.
has super-classes
covariance measure c
has sub-classes
regularized covariance c

covariance measurec back to ToC or Class ToC

IRI: http://purl.org/neao/data#CovarianceMeasure

Data that contains a measure of covariance.
has super-classes
data c
has sub-classes
covariance c, noise covariance c

cross power spectral densityc back to ToC or Class ToC

IRI: http://purl.org/neao/data#CrossPowerSpectralDensity

The computed cross power spectral density (CPSD).
has super-classes
spectral density c

cross-correlation functionc back to ToC or Class ToC

IRI: http://purl.org/neao/data#CrossCorrelationFunction

The computed estimator of the cross-correlation function.
has super-classes
cross-correlation measure c

cross-correlation measurec back to ToC or Class ToC

IRI: http://purl.org/neao/data#CrossCorrelationMeasure

Data that contains a measure of cross-correlation.
has super-classes
data c
has sub-classes
cross-correlation function c, spike train cross-correlation histogram c

cross-spectrogramc back to ToC or Class ToC

IRI: http://purl.org/neao/data#CrossSpectrogram

The computed cross-spectrogram.
has super-classes
data c

CuBIC analysis resultc back to ToC or Class ToC

IRI: http://purl.org/neao/data#CubicAnalysisResult

The result of the CuBIC analysis.
has super-classes
spike train synchrony measure c

current source densityc back to ToC or Class ToC

IRI: http://purl.org/neao/data#CurrentSourceDensity

The profile of current densities estimated by a current source density analysis.
has super-classes
data c

CV2c back to ToC or Class ToC

IRI: http://purl.org/neao/data#CV2

The computed CV2 measure.
has super-classes
interspike interval variability measure c

debiased squared weighted phase lag indexc back to ToC or Class ToC

IRI: http://purl.org/neao/data#DebiasedSquaredWeightedPhaseLagIndex

The computed debiased squared weighted phase lag index (WPLI).
has super-classes
phase lag index measure c
is disjoint with
directed phase lag index c, phase lag index c, unbiased squared phase lag index c, weighted phase lag index c

dimensionality reduction outputc back to ToC or Class ToC

IRI: http://purl.org/neao/data#DimensionalityReductionOutput

Data that contains an output of applying a dimensionality reduction transformation to the input data.
is equivalent to
is dimensionality reduction dp value true
has super-classes
data c
has sub-classes
Fisher linear discriminant c, distance covariance dimension c, principal component c, tensor component c

directed phase lag indexc back to ToC or Class ToC

IRI: http://purl.org/neao/data#DirectedPhaseLagIndex

The computed directed phase lag index (DPLI).
has super-classes
phase lag index measure c
is disjoint with
debiased squared weighted phase lag index c, phase lag index c, unbiased squared phase lag index c, weighted phase lag index c

directed transfer functionc back to ToC or Class ToC

IRI: http://purl.org/neao/data#DirectedTransferFunction

The computed directed transfer function (DTF).
has super-classes
data c

directional Granger causalityc back to ToC or Class ToC

IRI: http://purl.org/neao/data#DirectionalGrangerCausality

The computed directional Granger causality from one input to the other.
has super-classes
Granger causality measure c

discrete Fourier transformc back to ToC or Class ToC

IRI: http://purl.org/neao/data#DiscreteFourierTransform

The complex sinusoid coefficients obtained by applying the Discrete Fourier Transform (DFT) to the input data (e.g., using the FFT algorithm).
has super-classes
data c

distance covariance dimensionc back to ToC or Class ToC

IRI: http://purl.org/neao/data#DistanceCovarianceDimension

A dimension identified by applying distance covariance analysis (DCA) to the input data.
has super-classes
dimensionality reduction output c

epochc back to ToC or Class ToC

IRI: http://purl.org/neao/data#Epoch

Data that represents a finite time interval (window). For example, the interval between the start and end of a behavioral trial in the recording session.
has super-classes
data c

eventc back to ToC or Class ToC

IRI: http://purl.org/neao/data#Event

Data that contains the time(s) when an event of interest occurred (e.g., a certain behavior or stimulus in an experimental trial).
has super-classes
data c
is disjoint with
spike train c, spike train surrogate c, time series c

event-related potentialc back to ToC or Class ToC

IRI: http://purl.org/neao/data#EventRelatedPotential

The computed event-related potential (ERP).
has super-classes
data c
has sub-classes
evoked potential c

event-triggered averagec back to ToC or Class ToC

IRI: http://purl.org/neao/data#EventTriggeredAverage

The computed event-triggered average.
has super-classes
triggered average measure c

evoked potentialc back to ToC or Class ToC

IRI: http://purl.org/neao/data#EvokedPotential

The computed evoked potential (EP).
has super-classes
event-related potential c

firing ratec back to ToC or Class ToC

IRI: http://purl.org/neao/data#FiringRate

The computed firing rate.
has super-classes
data c
has sub-classes
instantaneous firing rate c, mean firing rate c

Fisher linear discriminantc back to ToC or Class ToC

IRI: http://purl.org/neao/data#FisherLinearDiscriminant

A Fisher linear discriminant obtained by applying linear discrimination analysis (LDA) to the input data.
has super-classes
dimensionality reduction output c

Granger causality measurec back to ToC or Class ToC

IRI: http://purl.org/neao/data#GrangerCausalityMeasure

Data that contains a measure of Granger causality.
has super-classes
data c
has sub-classes
Granger total interdependence c, conditional Granger causality c, directional Granger causality c, instantaneous Granger causality c

Granger total interdependencec back to ToC or Class ToC

IRI: http://purl.org/neao/data#GrangerTotalInterdependence

The computed total interdependence in the Granger causality analysis.
has super-classes
Granger causality measure c

imaginary coherencyc back to ToC or Class ToC

IRI: http://purl.org/neao/data#ImaginaryCoherency

The computed imaginary part of the coherency.
has super-classes
coherency measure c

independent componentc back to ToC or Class ToC

IRI: http://purl.org/neao/data#IndependentComponent

Data that contains an independent component produced by applying independent component analysis (ICA) to the input data.
has super-classes
data c

instantaneous firing ratec back to ToC or Class ToC

IRI: http://purl.org/neao/data#InstantaneousFiringRate

The computed instantaneous firing rate.
has super-classes
firing rate c

instantaneous Granger causalityc back to ToC or Class ToC

IRI: http://purl.org/neao/data#InstantaneousGrangerCausality

The computed instantaneous Granger causality.
has super-classes
Granger causality measure c

interquartile rangec back to ToC or Class ToC

IRI: http://purl.org/neao/data#InterquartileRange

The computed interquartile range, with the difference between the 75th and 25th percentile values.
has super-classes
interquartile range measure c
is disjoint with
lower limit of interquartile range c, upper limit of interquartile range c

interquartile range measurec back to ToC or Class ToC

IRI: http://purl.org/neao/data#InterquartileRangeMeasure

Data that contains the description of an interquartile range (IQR).
has super-classes
data c
has sub-classes
interquartile range c, lower limit of interquartile range c, upper limit of interquartile range c

interspike interval histogramc back to ToC or Class ToC

IRI: http://purl.org/neao/data#InterspikeIntervalHistogram

The computed interspike interval histogram (ISIH).
has super-classes
data c

interspike interval variability measurec back to ToC or Class ToC

IRI: http://purl.org/neao/data#InterspikeIntervalVariabilityMeasure

Data that contains a measure describing the variability of the interspike intervals.
has super-classes
data c
has sub-classes
CV2 c, LV c, LvR c, coefficient of variation of the interspike intervals c

interspike intervalsc back to ToC or Class ToC

IRI: http://purl.org/neao/data#InterspikeIntervals

The computed interspike intervals (ISIs).
has super-classes
data c

ISI-distancec back to ToC or Class ToC

IRI: http://purl.org/neao/data#ISIDistance

The computed ISI-distance.
has super-classes
spike train distance c

joint peristimulus time histogram matrixc back to ToC or Class ToC

IRI: http://purl.org/neao/data#JointPeristimulusTimeHistogramMatrix

The computed joint peristimulus time histogram (JPSTH) matrix.
has super-classes
data c

lower limit of confidence intervalc back to ToC or Class ToC

IRI: http://purl.org/neao/data#ConfidenceIntervalLowerLimit

The lower limit value of the computed confidence interval.
has super-classes
confidence interval measure c

lower limit of interquartile rangec back to ToC or Class ToC

IRI: http://purl.org/neao/data#InterquartileRangeLowerLimit

The lower limit of the computed interquartile range, corresponding to the 25th percentile.
has super-classes
interquartile range measure c
is disjoint with
interquartile range c, upper limit of interquartile range c

LVc back to ToC or Class ToC

IRI: http://purl.org/neao/data#LV

The computed local variation (LV) measure.
has super-classes
interspike interval variability measure c

LvRc back to ToC or Class ToC

IRI: http://purl.org/neao/data#LVR

The computed revised local variation (LvR) measure.
has super-classes
interspike interval variability measure c

magnitude coherencec back to ToC or Class ToC

IRI: http://purl.org/neao/data#MagnitudeCoherence

The computed magnitude coherence.
has super-classes
coherence measure c

maximized imaginary coherencyc back to ToC or Class ToC

IRI: http://purl.org/neao/data#MaximizedImaginaryCoherency

The computed maximized imaginary coherency (MIC).
has super-classes
coherency measure c

meanc back to ToC or Class ToC

IRI: http://purl.org/neao/data#Mean

The computed mean.
has super-classes
data c

mean firing ratec back to ToC or Class ToC

IRI: http://purl.org/neao/data#MeanFiringRate

The computed mean firing rate.
has super-classes
firing rate c

mean phase vectorc back to ToC or Class ToC

IRI: http://purl.org/neao/data#MeanPhaseVector

The computed mean phase vector (i.e., the angle and length).
has super-classes
mean phase vector measure c
is disjoint with
mean phase vector angle c, mean phase vector length c

mean phase vector anglec back to ToC or Class ToC

IRI: http://purl.org/neao/data#MeanPhaseVectorAngle

The angle of the computed mean phase vector.
has super-classes
mean phase vector measure c
is disjoint with
mean phase vector c, mean phase vector length c

mean phase vector lengthc back to ToC or Class ToC

IRI: http://purl.org/neao/data#MeanPhaseVectorLength

The length of the computed mean phase vector.
has super-classes
mean phase vector measure c
is disjoint with
mean phase vector c, mean phase vector angle c

mean phase vector measurec back to ToC or Class ToC

IRI: http://purl.org/neao/data#MeanPhaseVectorMeasure

Data that contains the description or elements of the mean phase vector.
has super-classes
data c
has sub-classes
mean phase vector c, mean phase vector angle c, mean phase vector length c

mean vector lengthc back to ToC or Class ToC

IRI: http://purl.org/neao/data#MeanVectorLength

The computed mean vector length (MVL).
has super-classes
phase amplitude coupling measure c

medianc back to ToC or Class ToC

IRI: http://purl.org/neao/data#Median

The computed median.
has super-classes
data c

modulation indexc back to ToC or Class ToC

IRI: http://purl.org/neao/data#ModulationIndex

The computed modulation index (MI).
has super-classes
phase amplitude coupling measure c

Morlet waveletc back to ToC or Class ToC

IRI: http://purl.org/neao/data#MorletWavelet

Data that contains the generated Morlet wavelet values for a sequence of time points.
has super-classes
data c

multivariate interaction measurec back to ToC or Class ToC

IRI: http://purl.org/neao/data#MultivariateInteractionMeasure

The computed multivariate interaction measure (MIM).
has super-classes
data c

mutual informationc back to ToC or Class ToC

IRI: http://purl.org/neao/data#MutualInformation

The computed mutual information (MI).
has super-classes
data c

neural trajectoryc back to ToC or Class ToC

IRI: http://purl.org/neao/data#NeuralTrajectory

A neural trajectory obtained by applying Gaussian process factor analysis (GPFA) to the input data containing multitrial spiking activity of a neuronal population.
has super-classes
time series c

neuronal activity patternc back to ToC or Class ToC

IRI: http://purl.org/neao/data#NeuronalActivityPattern

Data that contains the description of a neuronal activity pattern, which is obtained from a neuronal activity pattern detection analysis.
has super-classes
data c
has sub-classes
ASSET pattern c, Cell Assembly Detection pattern c, SPADE pattern c, Unitary Event pattern c

neuronal population vectorc back to ToC or Class ToC

IRI: http://purl.org/neao/data#NeuronalPopulationVector

The computed neuronal population vector.
has super-classes
data c

noise correlationsc back to ToC or Class ToC

IRI: http://purl.org/neao/data#NoiseCorrelations

The computed noise correlations (NC).
has super-classes
correlation measure c

noise covariancec back to ToC or Class ToC

IRI: http://purl.org/neao/data#NoiseCovariance

The computed noise covariance.
has super-classes
covariance measure c

orthogonalized power envelope correlationc back to ToC or Class ToC

IRI: http://purl.org/neao/data#OrthogonalizedPowerEnvelopeCorrelation

The computed orthogonalized power envelope correlation.
has super-classes
correlation measure c

pairwise phase consistencyc back to ToC or Class ToC

IRI: http://purl.org/neao/data#PairwisePhaseConsistency

The computed pairwise phase consistency (PPC) measure.
has super-classes
data c

partial coherencec back to ToC or Class ToC

IRI: http://purl.org/neao/data#PartialCoherence

The computed partial coherence.
has super-classes
coherence measure c

partial directed coherencec back to ToC or Class ToC

IRI: http://purl.org/neao/data#PartialDirectedCoherence

The computed partial directed coherence (PDC).
has super-classes
data c

peristimulus coincidence histogramc back to ToC or Class ToC

IRI: http://purl.org/neao/data#PeristimulusCoincidenceHistogram

The computed peristimulus coincidence histogram.
has super-classes
data c

peristimulus time histogramc back to ToC or Class ToC

IRI: http://purl.org/neao/data#PeristimulusTimeHistogram

The computed peristimulus time histogram (PSTH). The stimulus or event of interest can occur at any time point within the interval analyzed. However, if the histogram represents the neuronal activity after the stimulus presentation or event occurrence, this can be referred as post-stimulus time histogram. Conversely, if the histogram shows the activity of the neuron before the stimulus presentation or event, this can be referred as prestimulus time histogram. Finally, if the histogram considers a behavioral event (or an event that is not an externally presented stimulus), the histogram can be referred to as perievent time histogram (PETH).
has super-classes
time histogram c

phase amplitude coupling measurec back to ToC or Class ToC

IRI: http://purl.org/neao/data#PhaseAmplitudeCouplingMeasure

Data that contains a measure of phase-amplitude coupling (PAC).
has super-classes
data c
has sub-classes
mean vector length c, modulation index c

phase anglesc back to ToC or Class ToC

IRI: http://purl.org/neao/data#PhaseAngles

A measure of phase defining the angle on the unit circle that corresponds to the current position within the waveform's cycle. The range of angles in a full cycle is from 0 to 2*pi radians or 0 to 360 degrees.
has super-classes
data c

phase lag indexc back to ToC or Class ToC

IRI: http://purl.org/neao/data#PhaseLagIndex

The computed phase lag index (PLI).
has super-classes
phase lag index measure c
is disjoint with
debiased squared weighted phase lag index c, directed phase lag index c, unbiased squared phase lag index c, weighted phase lag index c

phase lag index measurec back to ToC or Class ToC

IRI: http://purl.org/neao/data#PhaseLagIndexMeasure

Data that contains a measure computed by a phase-lag index analysis.
has super-classes
data c
has sub-classes
debiased squared weighted phase lag index c, directed phase lag index c, phase lag index c, unbiased squared phase lag index c, weighted phase lag index c

phase locking valuec back to ToC or Class ToC

IRI: http://purl.org/neao/data#PhaseLockingValue

The computed phase locking value (PLV).
has super-classes
phase locking value measure c

phase locking value measurec back to ToC or Class ToC

IRI: http://purl.org/neao/data#PhaseLockingValueMeasure

Data that contains a phase locking value (PLV) measure.
has super-classes
data c
has sub-classes
corrected imaginary phase locking value c, phase locking value c

phase slope indexc back to ToC or Class ToC

IRI: http://purl.org/neao/data#PhaseSlopeIndex

The computed phase slope index (PSI).
has super-classes
data c

plotc back to ToC or Class ToC

IRI: http://purl.org/neao/data#Plot

A graphical representation of data values. It is used to visually communicate quantitative information, providing intuitive insights that can complement numerical analysis. It is often produced by later steps in the analysis after the computation of measures, to provide the visual representation of the results.
has super-classes
data c

population histogramc back to ToC or Class ToC

IRI: http://purl.org/neao/data#PopulationHistogram

The computed population histogram.
has super-classes
time histogram c

power spectral densityc back to ToC or Class ToC

IRI: http://purl.org/neao/data#PowerSpectralDensity

The computed power spectral density (PSD).
has super-classes
spectral density c

principal componentc back to ToC or Class ToC

IRI: http://purl.org/neao/data#PrincipalComponent

A principal component obtained by applying principal component analysis (PCA) to the input data.
has super-classes
dimensionality reduction output c

rectified area under the curvec back to ToC or Class ToC

IRI: http://purl.org/neao/data#RectifiedAreaUnderCurve

The computed rectified area under the curve (RAUC).
has super-classes
data c

regularized covariancec back to ToC or Class ToC

IRI: http://purl.org/neao/data#RegularizedCovariance

The covariance values computed with regularization techniques for numerical stability.
has super-classes
covariance c

short-time Fourier transformc back to ToC or Class ToC

IRI: http://purl.org/neao/data#ShortTimeFourierTransform

The complex sinusoid coefficients obtained by applying the short-time Fourier transform (STFT) to the input data.
has super-classes
data c

SPADE patternc back to ToC or Class ToC

IRI: http://purl.org/neao/data#SPADEPattern

A neuronal activity pattern obtained by the Spatio-temporal PAttern Detection and Evaluation (SPADE) analysis.
has super-classes
neuronal activity pattern c

spectral densityc back to ToC or Class ToC

IRI: http://purl.org/neao/data#SpectralDensity

Data that contains the density of a measure of the input(s) over the frequency spectrum.
has super-classes
data c
has sub-classes
cross power spectral density c, power spectral density c

spectrogramc back to ToC or Class ToC

IRI: http://purl.org/neao/data#Spectrogram

The computed spectrogram.
has super-classes
data c

SPIKE distancec back to ToC or Class ToC

IRI: http://purl.org/neao/data#SPIKEDistance

The computed SPIKE distance.
has super-classes
spike train distance c

SPIKE synchronizationc back to ToC or Class ToC

IRI: http://purl.org/neao/data#SPIKESynchronization

The computed SPIKE synchronization distance.
has super-classes
spike train distance c

spike time tiling coefficientc back to ToC or Class ToC

IRI: http://purl.org/neao/data#SpikeTimeTilingCoefficient

The computed spike time tiling coefficient (STTC).
has super-classes
correlation measure c

spike trainc back to ToC or Class ToC

IRI: http://purl.org/neao/data#SpikeTrain

Data that contains the sequence of time points when an action potential (spike) occurs. A spike train can be obtained by electrophysiological recordings from the neural tissue (i.e., the data contains the times when spikes occur naturally in response to various stimuli or during spontaneous activity) or artificially-generated using specific statistical procedures or simulations of neuronal activity.
has super-classes
data c
is disjoint with
event c, spike train surrogate c, time series c

spike train autocorrelation histogramc back to ToC or Class ToC

IRI: http://purl.org/neao/data#SpikeTrainAutocorrelationHistogram

The computed spike train autocorrelation histogram.
has super-classes
autocorrelation measure c

spike train autocorrelation time scalec back to ToC or Class ToC

IRI: http://purl.org/neao/data#SpikeTrainAutocorrelationTimeScale

The computed spike train autocorrelation time scale.
has super-classes
data c

spike train cross-correlation histogramc back to ToC or Class ToC

IRI: http://purl.org/neao/data#SpikeTrainCrossCorrelationHistogram

The computed spike train cross-correlation histogram.
has super-classes
cross-correlation measure c

spike train distancec back to ToC or Class ToC

IRI: http://purl.org/neao/data#SpikeTrainDistance

Data that contains a spike train distance measure.
has super-classes
data c
has sub-classes
ISI-distance c, SPIKE distance c, SPIKE synchronization c, Victor-Purpura distance c, van Rossum distance c

spike train Fano factorc back to ToC or Class ToC

IRI: http://purl.org/neao/data#SpikeTrainFanoFactor

The computed Fano factor (FF) for a set of input spike trains.
has super-classes
data c

spike train Pearson correlation coefficientc back to ToC or Class ToC

IRI: http://purl.org/neao/data#SpikeTrainPearsonCorrelationCoefficient

The computed Pearson correlation coefficient between two spike trains.
has super-classes
correlation measure c

spike train surrogatec back to ToC or Class ToC

IRI: http://purl.org/neao/data#SpikeTrainSurrogate

Data that contains a spike train surrogate. It is generated from spike train inputs using distinct methods to alter the original spike times.
has super-classes
data c
is disjoint with
event c, spike train c, time series c

spike train synchrony measurec back to ToC or Class ToC

IRI: http://purl.org/neao/data#SpikeTrainSynchronyMeasure

Data that contains a measure describing synchronization in two or more spike trains containing the activity of different neurons.
has super-classes
data c
has sub-classes
CuBIC analysis result c, Spike-contrast c, complexity distribution c

spike train time histogramc back to ToC or Class ToC

IRI: http://purl.org/neao/data#SpikeTrainTimeHistogram

The computed spike train time histogram.
has super-classes
time histogram c

spike waveformc back to ToC or Class ToC

IRI: http://purl.org/neao/data#SpikeWaveform

Data that contains the characteristic voltage change over time observed in the electrical recording of a neuron's action potential (spike). This waveform represents the rapid depolarization and repolarization of the neuron's membrane potential during the action potential. The data is acquired in a finite number of samples that correspond to a time window around the spike time (i.e., with periods before and after the action potential onset).
has super-classes
data c

spike waveform averagec back to ToC or Class ToC

IRI: http://purl.org/neao/data#SpikeWaveformAverage

The computed average across the spike waveforms.
has super-classes
spike waveform statistic c

spike waveform signal-to-noise ratioc back to ToC or Class ToC

IRI: http://purl.org/neao/data#SpikeWaveformSNR

The computed signal-to-noise ratio of the spike waveforms.
has super-classes
spike waveform statistic c

spike waveform statisticc back to ToC or Class ToC

IRI: http://purl.org/neao/data#SpikeWavevormStatistic

Data that contains measures used to describe specific characteristics or make inferences from spike waveforms.
has super-classes
data c
has sub-classes
spike waveform average c, spike waveform signal-to-noise ratio c, spike waveform variance c, spike waveform width c

spike waveform variancec back to ToC or Class ToC

IRI: http://purl.org/neao/data#SpikeWaveformVariance

The computed variance across the spike waveforms.
has super-classes
spike waveform statistic c

spike waveform widthc back to ToC or Class ToC

IRI: http://purl.org/neao/data#SpikeWaveformWidth

The computed spike waveform width.
has super-classes
spike waveform statistic c

Spike-contrastc back to ToC or Class ToC

IRI: http://purl.org/neao/data#SpikeContrast

The computed Spike-contrast.
has super-classes
spike train synchrony measure c

spike-field coherencec back to ToC or Class ToC

IRI: http://purl.org/neao/data#SpikeFieldCoherence

The computed spike-field coherence (SFC).
has super-classes
data c

spike-triggered averagec back to ToC or Class ToC

IRI: http://purl.org/neao/data#SpikeTriggeredAverage

The computed spike-triggered average (STA).
has super-classes
triggered average measure c
has sub-classes
spike-triggered local field potential average c

spike-triggered local field potential averagec back to ToC or Class ToC

IRI: http://purl.org/neao/data#SpikeTriggeredLFPAverage

The computed spike-triggered average of the local field potential (LFP) signal.
has super-classes
spike-triggered average c

spike-triggered phasec back to ToC or Class ToC

IRI: http://purl.org/neao/data#SpikeTriggeredPhase

The computed spike-triggered phase angles.
has super-classes
data c

standard deviationc back to ToC or Class ToC

IRI: http://purl.org/neao/data#StandardDeviation

The computed standard deviation (SD).
has super-classes
data c

standard error of the meanc back to ToC or Class ToC

IRI: http://purl.org/neao/data#StandardErrorMean

The computed standard error of the mean (SEM).
has super-classes
data c

Stockwell transformc back to ToC or Class ToC

IRI: http://purl.org/neao/data#StockwellTransform

The result of computing the Stockwell transform (S transform).
has super-classes
data c

tensor componentc back to ToC or Class ToC

IRI: http://purl.org/neao/data#TensorComponent

A tensor component obtained by applying tensor component analysis (TCA) to the input data.
has super-classes
dimensionality reduction output c

time histogramc back to ToC or Class ToC

IRI: http://purl.org/neao/data#TimeHistogram

Data that contains a time histogram, i.e., a histogram that shows the distribution of a measure across specified time intervals (bins).
has super-classes
data c
has sub-classes
peristimulus time histogram c, population histogram c, spike train time histogram c

time seriesc back to ToC or Class ToC

IRI: http://purl.org/neao/data#TimeSeries

Data that contains values of a specific quantity (e.g., voltage) acquired as a series of successive samples over time. Typically, there is a fixed interval between the samples (sampling period), with each sample representing a distinct time point in the series.
has super-classes
data c
has sub-classes
analytic signal c, neural trajectory c
is disjoint with
event c, spike train c, spike train surrogate c

transfer entropyc back to ToC or Class ToC

IRI: http://purl.org/neao/data#TransferEntropy

The computed transfer entropy (TE).
has super-classes
data c

triggered average measurec back to ToC or Class ToC

IRI: http://purl.org/neao/data#TriggeredAverageMeasure

Data that contains the output of a triggered average analysis.
has super-classes
data c
has sub-classes
event-triggered average c, spike-triggered average c

tuning curvec back to ToC or Class ToC

IRI: http://purl.org/neao/data#TuningCurve

The computed tuning curve.
has super-classes
data c

unbiased squared phase lag indexc back to ToC or Class ToC

IRI: http://purl.org/neao/data#UnbiasedSquaredPhaseLagIndex

The computed unbiased squared phase lag index (PLI).
has super-classes
phase lag index measure c
is disjoint with
debiased squared weighted phase lag index c, directed phase lag index c, phase lag index c, weighted phase lag index c

Unitary Event patternc back to ToC or Class ToC

IRI: http://purl.org/neao/data#UnitaryEventPattern

A neuronal activity pattern obtained by the Unitary Event (UE) analysis.
has super-classes
neuronal activity pattern c

upper limit of confidence intervalc back to ToC or Class ToC

IRI: http://purl.org/neao/data#ConfidenceIntervalUpperLimit

The upper limit value of the computed confidence interval.
has super-classes
confidence interval measure c

upper limit of interquartile rangec back to ToC or Class ToC

IRI: http://purl.org/neao/data#InterquartileRangeUpperLimit

The upper limit of the computed interquartile range, corresponding to the 75th percentile.
has super-classes
interquartile range measure c
is disjoint with
interquartile range c, lower limit of interquartile range c

van Rossum distancec back to ToC or Class ToC

IRI: http://purl.org/neao/data#VanRossumDistance

The computed van Rossum distance.
has super-classes
spike train distance c

variancec back to ToC or Class ToC

IRI: http://purl.org/neao/data#Variance

The computed variance.
has super-classes
data c

Victor-Purpura distancec back to ToC or Class ToC

IRI: http://purl.org/neao/data#VictorPurpuraDistance

The computed Victor-Purpura distance.
has super-classes
spike train distance c

wavelet transformc back to ToC or Class ToC

IRI: http://purl.org/neao/data#WaveletTransform

Data that contains the result of a wavelet transform analysis, i.e., decomposing a time series using a mother wavelet function.
has super-classes
data c

weighted phase lag indexc back to ToC or Class ToC

IRI: http://purl.org/neao/data#WeightedPhaseLagIndex

The computed weighted phase lag index (WPLI).
has super-classes
phase lag index measure c
is disjoint with
debiased squared weighted phase lag index c, directed phase lag index c, phase lag index c, unbiased squared phase lag index c

Data Properties

is artificialdp back to ToC or Data Property ToC

IRI: http://purl.org/neao/data#isArtificial

Defines if the data is artificially-generated (true) or obtained from experimental recordings (false).
has super-properties
top data property
has domain
data c
has range
boolean

is averageddp back to ToC or Data Property ToC

IRI: http://purl.org/neao/data#isAveraged

Defines if the data is the result of an aggregation to obtain an average estimate from other data (true).
has super-properties
top data property
has domain
data c
has range
boolean

is detrendeddp back to ToC or Data Property ToC

IRI: http://purl.org/neao/data#isDetrended

Defines if a detrending transformation was applied to the data (true).
has super-properties
top data property
has domain
data c
has range
boolean

is dimensionality reductiondp back to ToC or Data Property ToC

IRI: http://purl.org/neao/data#isDimensionalityReduction

Defines if the data is a result of a dimensionality reduction transformation (true).
has super-properties
top data property
has domain
data c
has range
boolean

is downsampleddp back to ToC or Data Property ToC

IRI: http://purl.org/neao/data#isDownsampled

Defines if a downsampling transformation was applied to the data (true).
has super-properties
is resampled dp
has domain
data c
has range
boolean

is filtereddp back to ToC or Data Property ToC

IRI: http://purl.org/neao/data#isFiltered

Defines if a digital filter was applied to the data (true).
has super-properties
top data property
has domain
data c
has range
boolean

is interpolateddp back to ToC or Data Property ToC

IRI: http://purl.org/neao/data#isInterpolated

Defines if a interpolation data transformation was applied to the data (true).
has super-properties
top data property
has domain
data c
has range
boolean

is normalizeddp back to ToC or Data Property ToC

IRI: http://purl.org/neao/data#isNormalized

Defines if a data normalization transformation was applied to the data (true).
has super-properties
top data property
has domain
data c
has range
boolean

is rectifieddp back to ToC or Data Property ToC

IRI: http://purl.org/neao/data#isRectified

Defines if a rectification transformation was applied to the data (true).
has super-properties
top data property
has domain
data c
has range
boolean

is rereferenceddp back to ToC or Data Property ToC

IRI: http://purl.org/neao/data#isRereferenced

Defines if a transformation to change the reference in the recorded data was applied (true).
has super-properties
top data property
has domain
data c
has range
boolean

is resampleddp back to ToC or Data Property ToC

IRI: http://purl.org/neao/data#isResampled

Defines if a resampling transformation was applied to the data (true).
has super-properties
top data property
has sub-properties
is downsampled dp, is upsampled dp
has domain
data c
has range
boolean

is smootheddp back to ToC or Data Property ToC

IRI: http://purl.org/neao/data#isSmoothed

Defines if a data smoothing transformation was applied to the data (true).
has super-properties
top data property
has domain
data c
has range
boolean

is upsampleddp back to ToC or Data Property ToC

IRI: http://purl.org/neao/data#isUpsampled

Defines if an upsampling transformation was applied to the data (true).
has super-properties
is resampled dp
has domain
data c
has range
boolean

Legend back to ToC

c: Classes
dp: Data Properties

Acknowledgments back to ToC

This work was performed as part of the Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE) and received funding from the Helmholtz Association of German Research Centres. This project has received funding from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under Specific Grant Agreement No. 945539 (Human Brain Project SGA3), the European Union’s Horizon Europe Programme under the Specific Grant Agreement No. 101147319 (EBRAINS 2.0 Project), the Ministry of Culture and Science of the State of North Rhine-Westphalia, Germany (NRW-network "iBehave", grant number: NW21-049), and the Joint Lab "Supercomputing and Modeling for the Human Brain."

The authors would like to thank Silvio Peroni for developing LODE, a Live OWL Documentation Environment, which is used for representing the Cross Referencing Section of this document and Daniel Garijo for developing Widoco, the program used to create the template used in this documentation.