Translational Education, Physiology and Behavior, Conductual, Latinoamericanos - EEG Data Analysis EEG ERP P300 N400 ICA PCA FFT DSA Wavelets LORETA
06/10/2022 at 06:10:56
Author: Jackson Cionek
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Translational Education, Physiology and Behavior, Conductual, Latinoamericanos - EEG Data Analysis EEG ERP P300 N400 ICA PCA FFT DSA Wavelets LORETA
Neuroscience 2022 Physiology and Behavior
Burnout | Physiology and Behavior
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EEG Data AnalysisAnalyzer:Analysis software for EEG ERP P300 N400 research, Video integration, Raw Data Inspection, interactive ICA, FFT, Wavelets, LORETA, MR and CB artifact correction, Integration for eye-tracking data,CSD Current Source Density, Grand Average, Grand Segmentation, ERS/ERD Event-related synchronization and desynchronization, FFT Fast Fourier Transform, FFT Inverse, ICA Independent Component Analysis, Inverse ICA,Butterworth filter, Linear Derivation, LORETA for source analysis, Ocular Correction ICA based on ICA, PCA Principal Component Analysis, Segmentation,Topographic Interpolation, t-Test paired and unpaired t-Tests, Wavelets, Wavelet ExtractionFunctionalBESA Research:Data review and processing for reviewing and processing of your EEG or MEG data. Digital filtering: high, low, and narrow band pass, notch. Interpolation from recorded to virtual and source channels. Automated EOG and EKG artifact detection and correction. Advanced user-defined instantaneous artifact correction. Spectral analysis: FFT, DSA, power and phase mapping. Independent Component Analysis (ICA): Decomposition of EEG/MEG data into ICA components that can be used for artifact correction and as spatial sources in the source analysis window. Connectivity analysis, a unique feature for viewing brain activity, transforms surface signals into brain activity using source montages derived from multiple source models or beamformer imaging. This allows displaying ongoing EEG/MEG, single epochs, and averages with much higher spatial resolution. Source montages and 3D whole-head mapping. ERP analysis and averaging. Source localization and source imaging. Individual MRI and fMRI integration with BESA MRI and BrainVoyager. Source coherence and time-frequency analysis
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O que é Poda Neuronal? Ferramentas para medir o desenvolvimento infantil e a qualidade no ensino na pré-escola.Vivemos a era da cultura digital. O conhecimento, muitas vezes, é intermediado pela tecnologia da informação e da comunicação Implications of neuroscience in the early years.Exercícios físicos regulares, aumento de atenção e motivação,Habilidades socioemocionais ou competências socioemocionais para lidar com as próprias emoções Etapa prelingüistica
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 | 00:00:00 - 01:37:00 Burnout |
 | 01:37:00 - 03:26:00 Physiology and Behavior 1 |
 | 03:26:00 - 06:56:00 Estresse e Neuroimunologia |
 | 06:56:00 - 10:34:00 EEG Data AnalysisAnalyzer:Analysis software for EEG ERP P300 N400 research, Video integration, Raw Data Inspection, interactive ICA, FFT, Wavelets, LORETA, MR and CB artifact correction, Integration for eye-tracking data,CSD Current Source Density, Grand Average, Grand Segmentation, ERS/ERD Event-related synchronization and desynchronization, FFT Fast Fourier Transform, FFT Inverse, ICA Independent Component Analysis, Inverse ICA,Butterworth filter, Linear Derivation, LORETA for source analysis, Ocular Correction ICA based on ICA, PCA Principal Component Analysis, Segmentation,Topographic Interpolation, t-Test paired and unpaired t-Tests, Wavelets, Wavelet ExtractionFunctionalBESA Research:Data review and processing for reviewing and processing of your EEG or MEG data. Digital filtering: high, low, and narrow band pass, notch. Interpolation from recorded to virtual and source channels.Automated EOG and EKG artifact detection and correction. Advanced user-defined instantaneous artifact correction. Spectral analysis: FFT, DSA, power and phase mapping. Independent Component Analysis (ICA): Decomposition of EEG/MEG data into ICA components that can be used for artifact correction and as spatial sources in the source analysis window. Connectivity analysis, a unique feature for viewing brain activity, transforms surface signals into brain activity using source montages derived from multiple source models or beamformer imaging. This allows displaying ongoing EEG/MEG, single epochs, and averages with much higher spatial resolution. Source montages and 3D whole-head mapping. ERP analysis and averaging. Source localization and source imaging. Individual MRI and fMRI integration with BESA MRI and BrainVoyager. Source coherence and time-frequency analysis |
 | 10:34:00 - 11:10:00 EEG Data AnalysisAnalyzer:Analysis software for EEG ERP P300 N400 research, Video integration, Raw Data Inspection, interactive ICA, FFT, Wavelets, LORETA, MR and CB artifact correction, Integration for eye-tracking data,CSD Current Source Density, Grand Average, Grand Segmentation, ERS/ERD Event-related synchronization and desynchronization, FFT Fast Fourier Transform, FFT Inverse, ICA Independent Component Analysis, Inverse ICA,Butterworth filter, Linear Derivation, LORETA for source analysis, Ocular Correction ICA based on ICA, PCA Principal Component Analysis, Segmentation,Topographic Interpolation, t-Test paired and unpaired t-Tests, Wavelets, Wavelet ExtractionFunctionalBESA Research:Data review and processing for reviewing and processing of your EEG or MEG data. Digital filtering: high, low, and narrow band pass, notch. Interpolation from recorded to virtual and source channels.Automated EOG and EKG artifact detection and correction. Advanced user-defined instantaneous artifact correction. Spectral analysis: FFT, DSA, power and phase mapping. Independent Component Analysis (ICA): Decomposition of EEG/MEG data into ICA components that can be used for artifact correction and as spatial sources in the source analysis window. Connectivity analysis, a unique feature for viewing brain activity, transforms surface signals into brain activity using source montages derived from multiple source models or beamformer imaging. This allows displaying ongoing EEG/MEG, single epochs, and averages with much higher spatial resolution. Source montages and 3D whole-head mapping. ERP analysis and averaging. Source localization and source imaging. Individual MRI and fMRI integration with BESA MRI and BrainVoyager. Source coherence and time-frequency analysis |
 | 11:10:00 - 12:17:00 O que é Poda Neuronal?Ferramentas para medir o desenvolvimento infantil e a qualidade no ensino na pré-escola.Vivemos a era da cultura digital. O conhecimento, muitas vezes, é intermediado pela tecnologia da informação e da comunicaçãoImplications of neuroscience in the early years.Exercícios físicos regulares, aumento de atenção e motivação,Habilidades socioemocionais ou competências socioemocionais para lidar com as próprias emoçõesEtapa prelingüistica |
 | 12:17:00 - 14:39:00 O que é Poda Neuronal?Ferramentas para medir o desenvolvimento infantil e a qualidade no ensino na pré-escola.Vivemos a era da cultura digital. O conhecimento, muitas vezes, é intermediado pela tecnologia da informação e da comunicaçãoImplications of neuroscience in the early years.Exercícios físicos regulares, aumento de atenção e motivação,Habilidades socioemocionais ou competências socioemocionais para lidar com as próprias emoçõesEtapa prelingüistica |
 | 14:39:00 - 16:34:00 O que é Poda Neuronal?Ferramentas para medir o desenvolvimento infantil e a qualidade no ensino na pré-escola.Vivemos a era da cultura digital. O conhecimento, muitas vezes, é intermediado pela tecnologia da informação e da comunicaçãoImplications of neuroscience in the early years.Exercícios físicos regulares, aumento de atenção e motivação,Habilidades socioemocionais ou competências socioemocionais para lidar com as próprias emoçõesEtapa prelingüistica |
 | 16:34:00 - 17:24:00 O que é Poda Neuronal?Ferramentas para medir o desenvolvimento infantil e a qualidade no ensino na pré-escola.Vivemos a era da cultura digital. O conhecimento, muitas vezes, é intermediado pela tecnologia da informação e da comunicaçãoImplications of neuroscience in the early years.Exercícios físicos regulares, aumento de atenção e motivação,Habilidades socioemocionais ou competências socioemocionais para lidar com as próprias emoçõesEtapa prelingüistica |
 | 17:24:00 - 18:17:00 O que é Poda Neuronal?Ferramentas para medir o desenvolvimento infantil e a qualidade no ensino na pré-escola.Vivemos a era da cultura digital. O conhecimento, muitas vezes, é intermediado pela tecnologia da informação e da comunicaçãoImplications of neuroscience in the early years.Exercícios físicos regulares, aumento de atenção e motivação,Habilidades socioemocionais ou competências socioemocionais para lidar com as próprias emoçõesEtapa prelingüistica |
 | 18:17:00 - 23:59:00 Cognitive Neuroscience CNS 2022Neurociencia y SociedadNeuroscience 2022Behavioral Neuroscience Meetings - Latin American and IntentionalEncuentros de Neurociencia Conductual - Latinoamericanos e IntencionalesEncontros de Neurociência Comportamental - Latino-Americanos e IntencionaisSociedade Brasileira de Neurociências e ComportamentoSociedad Chilena de Neurociencia |
Jackson Cionek
