Search results for " time discrimination"

showing 2 items of 2 documents

The time course of temporal discrimination: An ERP study

2009

Objective: The question of how temporal information is processed by the brain is still a matter of debate. This study aimed to elucidate the brain electrical activity associated with a visual temporal discrimination task. Methods: For this purpose, 44 participants were required to compare pairs of sequentially presented time intervals: a fixed standard interval (1000 ms), and an equal-to-standard, longer (1200 ms) or shorter (800 ms) comparison interval. Behavioural data and event-related potentials (ERPs) were analyzed. Results: Long intervals were more rapidly identified than short intervals. The amplitude of the contingent negative variation (CNV) found at frontocentral sites before the …

AdultMalemedicine.medical_specialtyTime FactorsTime FactorAdolescentVisual time discriminationAudiologyDevelopmental psychologyDiscrimination LearningYoung AdultCognitionMemoryContingent negative variation (CNV)Physiology (medical)medicineHumansEvoked PotentialsTemporal discriminationSettore M-PSI/02 - Psicobiologia E Psicologia FisiologicaWorking memoryElectroencephalographyCognitionInterval timingMiddle AgedTemporal LobeSensory SystemsElectrophysiological PhenomenaContingent negative variationElectrophysiologyInterval (music)medicine.anatomical_structureReference memoryNeurologyDuration (music)ScalpEvoked Potentials VisualFemaleNeurology (clinical)Evoked PotentialSensory SystemPsychologyHuman
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A wavelet Methodology for EEG Time-frequency Analysis in a Time Discrimination Task

2009

EEG signals recorded by surface electrodes placed on the scalp can be thought as non- stationary stochastic processes in both time and space, especially in response to external stimuli. Cognitive tasks, in particular, are reflected by changes in EEG dynamics concerning both rhythms energy and connectivity across different brain regions. In the frequency-domain, EEG analysis is complicated and time-frequency methodologies are needed. The Wavelet Transform, in particular, represents a powerful tool for analysing, within a time-frequency embedding, the EEG. In this study we applied a wavelet-based methodology to extract quantitative time-frequency parameters from EEG signals recorded during a …

Wavelet Transform ERPs time discriminationSettore M-PSI/02 - Psicobiologia E Psicologia Fisiologica
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