Search results for "ECoG"

showing 10 items of 3774 documents

Identifying musical pieces from fMRI data using encoding and decoding models.

2018

AbstractEncoding models can reveal and decode neural representations in the visual and semantic domains. However, a thorough understanding of how distributed information in auditory cortices and temporal evolution of music contribute to model performance is still lacking in the musical domain. We measured fMRI responses during naturalistic music listening and constructed a two-stage approach that first mapped musical features in auditory cortices and then decoded novel musical pieces. We then probed the influence of stimuli duration (number of time points) and spatial extent (number of voxels) on decoding accuracy. Our approach revealed a linear increase in accuracy with duration and a poin…

AdultMaleComputer scienceSpeech recognitionModels Neurologicalmusiikkilcsh:MedicineMusicalStimulus (physiology)Auditory cortexneural encodingkuunteleminen050105 experimental psychologyArticleKey (music)03 medical and health sciencesYoung Adult0302 clinical medicineSpatio-Temporal AnalysisEncoding (memory)Humans0501 psychology and cognitive scienceslcsh:ScienceAuditory CortexMultidisciplinaryPoint (typography)lcsh:R05 social sciencesneurotieteetMagnetic Resonance Imagingneural decodingHealthy VolunteerscortexaivokuorikoneoppiminenAcoustic StimulationDuration (music)lcsh:QFemale030217 neurology & neurosurgeryDecoding methodsMusicScientific reports
researchProduct

Where is the beat in that note? Effects of attack, duration, and frequency on the perceived timing of musical and quasi-musical sounds

2019

The perceptual center (P-center) of a sound is typically understood as the specific moment at which it is perceived to occur. Using matched sets of real and artificial musical sounds as stimuli, we probed the influence of attack (rise time), duration, and frequency (center frequency) on perceived P-center location and P-center variability. Two different methods to determine the P-centers were used: Clicks aligned in-phase with the target sounds via the method of adjustment, and tapping in synchrony with the target sounds. Attack and duration were the primary cues for P-center location and P-center variability; P-center variability was found to be a useful measure of P-center shape. Consiste…

AdultMaleComputer scienceSpeech recognitionmedia_common.quotation_subjectmusiikkiBeat (acoustics)Experimental and Cognitive PsychologyProbability density functionStimulus (physiology)050105 experimental psychologyYoung AdultBehavioral NeuroscienceArts and Humanities (miscellaneous)PerceptionHumans0501 psychology and cognitive sciencesmusicCenter frequencyta515media_common05 social sciencesRangingMiddle AgedTime perceptionhavaintopsykologiaRise timeTime Perceptionta6131Auditory PerceptionFemaleperceptual psychologyJournal of Experimental Psychology: Human Perception and Performance
researchProduct

Implicit memory functioning in schizophrenia: Explaining inconsistent findings of word stem completion tasks

2014

The definitive implicit memory profile of schizophrenia is yet to be clarified. Methodological differences between studies could be the reason for the inconsistent findings reported. In this study, we have examined implicit memory functioning using a word stem completion task. In addition, we have addressed methodological issues related with lexical and perceptual stimuli characteristics, and with the strategy used to calculate priming scores. Our data show similar performance values in schizophrenic patients and healthy controls. Furthermore, we have not detected significant differences in priming between the two groups, even when this parameter was calculated using three different procedu…

AdultMaleConcept Formationmedia_common.quotation_subjectSchizophrenia (object-oriented programming)Word stemNeuropsychological TestsTask (project management)Developmental psychologyPerceptionIndirect tests of memoryReaction TimeHumansBiological Psychiatrymedia_commonAnalysis of VarianceMemory DisordersMiddle AgedVerbal LearningPsychiatry and Mental healthPattern Recognition VisualSchizophreniaFemaleImplicit memoryPsychologyPriming (psychology)Photic StimulationWord (computer architecture)Cognitive psychologyPsychiatry Research
researchProduct

Perceptual priming in schizophrenia evaluated by word fragment and word stem completion

2011

Implicit memory seems to be preserved in schizophrenia as a whole, but dissociations between conceptual and perceptual tasks and between accuracy and reaction time measures have appeared. The present research has revealed some methodological limitations in many studies to date that are focused on the study of perceptual implicit memory in schizophrenic patients using accuracy measures. The review of these studies revealed that limitations are related to an inadequate definition of performance and priming measures, a lack of control over the characteristics of the stimuli, and the absence of information on the experimental procedures used in data collection. Moreover, the task used in these …

AdultMaleConcept Formationmedia_common.quotation_subjectSchizophrenia (object-oriented programming)Word stemNeuropsychological TestsVerbal learningVocabularyTask (project management)Indirect tests of memoryPerceptionReaction TimeHumansBiological Psychiatrymedia_commonAnalysis of VarianceMemory DisordersMiddle AgedVerbal LearningPsychiatry and Mental healthPattern Recognition VisualSchizophreniaFemaleImplicit memoryPsychologyPriming (psychology)Photic Stimulationpsychological phenomena and processesCognitive psychologyPsychiatry Research
researchProduct

The development of facial emotion recognition: The role of configural information

2007

International audience; The development of children's ability to recognize facial emotions and the role of configural information in this development were investigated. In the study, 100 5-, 7-, 9-, and 11-year-olds and 26 adults needed to recognize the emotion displayed by upright and upside-down faces. The same participants needed to recognize the emotion displayed by the top half of an upright or upside-down face that was or was not aligned with a bottom half that displayed another emotion. The results showed that the ability to recognize facial emotion develops with age, with a developmental course that depends on the emotion to be recognized. Moreover, children at all ages and adults e…

AdultMaleConfigural informationVisual perceptionAdolescentSpatial abilitymedia_common.quotation_subjectConcept FormationEmotions[SHS.PSY]Humanities and Social Sciences/PsychologyExperimental and Cognitive PsychologyDevelopmentFacial emotions050105 experimental psychologyDevelopmental psychologyDiscrimination Learning03 medical and health sciencesNonverbal communication[ SHS.PSY ] Humanities and Social Sciences/Psychology0302 clinical medicineInversion effectFace perceptionPerceptionOrientationDevelopmental and Educational PsychologyCognitive developmentHumans0501 psychology and cognitive sciencesChildComputingMilieux_MISCELLANEOUSmedia_commonFacial expressionComposite effect05 social sciencesAge FactorsCognitionFacial ExpressionPattern Recognition VisualChild Preschool[SCCO.PSYC]Cognitive science/PsychologyFemalePsychology030217 neurology & neurosurgery
researchProduct

Unconscious response priming during continuous flash suppression.

2017

Continuous flash suppression (CFS) has become a popular tool for studying unconscious processing, but the level at which unconscious processing of visual stimuli occurs under CFS is not clear. Response priming is a robust and well-understood phenomenon, in which the prime stimulus facilitates overt responses to targets if the prime and target are associated with the same response. We used CFS to study unconscious response priming of shape: arrows with left or right orientation served as primes and targets. The prime was presented near the limen of consciousness and each trial was followed by subjective rating of visibility and a forced-choice response concerning the orientation of the prime…

AdultMaleConsciousnessVisionImaging TechniquesCognitive Neurosciencelcsh:MedicineSocial SciencesNeuroimagingResearch and Analysis MethodsFace RecognitionDiagnostic RadiologyYoung AdultCognitionLearning and MemoryOcular SystemMemoryDiagnostic MedicineFunctional Magnetic Resonance ImagingMedicine and Health SciencesHumansPsychologylcsh:ScienceBrain MappingUnconscious PsychologyRadiology and Imaginglcsh:RCognitive PsychologyBiology and Life SciencesPriming (Psychology)Magnetic Resonance ImagingFaceCognitive ScienceEyeslcsh:QFemalePerceptionSensory PerceptionAccess to ConsciousnessAnatomyHeadResearch ArticleNeurosciencePloS one
researchProduct

Neural net classification of REM sleep based on spectral measures as compared to nonlinear measures

2001

In various studies the implementation of nonlinear and nonconventional measures has significantly improved EEG (electroencephalogram) analyses as compared to using conventional parameters alone. A neural network algorithm well approved in our laboratory for the automatic recognition of rapid eye movement (REM) sleep was investigated in this regard. Originally based on a broad range of spectral power inputs, we additionally supplied the nonlinear measures of the largest Lyapunov exponent and correlation dimension as well as the nonconventional stochastic measures of spectral entropy and entropy of amplitudes. No improvement in the detection of REM sleep could be achieved by the inclusion of …

AdultMaleCorrelation dimensionGeneral Computer ScienceEntropySleep REMLyapunov exponentElectroencephalographysymbols.namesakeStatisticsmedicineHumansEntropy (information theory)MathematicsQuantitative Biology::Neurons and Cognitionmedicine.diagnostic_testArtificial neural networkbusiness.industrySpectral entropyEye movementElectroencephalographyPattern recognitionNonlinear systemNonlinear DynamicssymbolsNeural Networks ComputerArtificial intelligencebusinessAlgorithmsBiotechnologyBiological Cybernetics
researchProduct

Surrogate data analysis of sleep electroencephalograms reveals evidence for nonlinearity

1996

We tested the hypothesis of whether sleep electroencephalographic (EEG) signals of different time windows (164 s, 82 s, 41 s and 20.5 s) are in accordance with linear stochastic models. For this purpose we analyzed the all-night sleep electroencephalogram of a healthy subject and corresponding Gaussian-rescaled phase randomized surrogates with a battery of five non-linear measures. The following nonlinear measures were implemented: largest Lyapunov exponent L1, correlation dimension D2, and the Green-Savit measures delta 2, delta 4 and delta 6. The hypothesis of linear stochastic data was rejected with high statistical significance. L1 and D2 yielded the most pronounced effects, while the G…

AdultMaleCorrelation dimensionGeneral Computer ScienceStochastic modellingModels NeurologicalLyapunov exponentElectroencephalographysymbols.namesakeStatisticsmedicineHumansMathematicsStochastic ProcessesQuantitative Biology::Neurons and Cognitionmedicine.diagnostic_testStochastic processbusiness.industryLinear modelElectroencephalographyPattern recognitionNonlinear systemNonlinear DynamicsData Interpretation StatisticalLinear ModelssymbolsSleep (system call)Artificial intelligenceSleepbusinessCyberneticsBiotechnologyBiological Cybernetics
researchProduct

The dimensionality of human's electroencephalogram during sleep.

1991

In order to perform an analysis of nonlinear EEG-dynamics we investigated the EEG of ten male probands during sleep. According to Rechtschaffen and Kales (1968) we scored the sleep-EEG and applied an algorithm, proposed by Grassberger and Proccaccia (1983) to compute the correlation dimension of different sleep stages. The correlation dimension characterizes the dynamics of the EEG signal and estimates the degrees of freedom of the signal under study. We could demonstrate, that the EEG of slow wave sleep stages depicts a dimensionality, which is two units smaller than that of light or REM sleep.

AdultMaleCorrelation dimensionGeneral Computer Sciencemedia_common.quotation_subjectModels NeurologicalSleep REMElectroencephalographymedicineHumansSlow-wave sleepmedia_commonSleep Stagesmedicine.diagnostic_testbusiness.industryPattern recognitionElectroencephalographyArtificial intelligenceSleep StagesSpectrum analysisbusinessPsychologySleepBiotechnologyCurse of dimensionalityVigilance (psychology)Biological cybernetics
researchProduct

Nonlinear analysis of continuous ECG during sleep I. Reconstruction.

2000

In recent years evidence has accumulated that ECG signals are of a nonlinear nature. It has been recognized that strictly periodic cardiac rhythms are not accompanied by healthy conditions but, on the contrary, by pathological states. Therefore, the application of methods from nonlinear system theory for the analysis of ECG signals has gained increasing interest. Crucial for the application of nonlinear methods is the reconstruction (embedding) of the time series in a phase space with appropriate dimension. In this study continuous ECG signals of 12 healthy subjects recorded during different sleep stages were analysed. Proper embedding dimension was determined by application of two techniqu…

AdultMaleCorrelation dimensionGeneral Computer Sciencemedicine.diagnostic_testbusiness.industryComputer sciencePoison controlPattern recognitionElectroencephalographyWhite noiseElectroencephalographyNonlinear systemDimension (vector space)Nonlinear DynamicsReference ValuesPhase spacemedicineEmbeddingHumansArtificial intelligencebusinessSleepSimulationBiotechnologyBiological cybernetics
researchProduct