Haz lo que aporte valor a tu vida y a la humanidad, haz lo que te gusta con responsabilidad - Burnout, Physiology and Behavior, Translational Education, EEG ERP P300 N400 research

Haz lo que aporte valor a tu vida y a la humanidad, haz lo que te gusta con responsabilidad - Burnout, Physiology and Behavior, Translational Education, EEG ERP P300 N400 research

Thursday, 15 de December de 2022
Haz lo que aporte valor a tu vida y a la humanidad, haz lo que te gusta con responsabilidad - Burnout, Physiology and Behavior, Translational Education, EEG ERP P300 N400 research

Valor e sentido da vida Jackson_Cionek
Valor e sentido da vida Jackson_Cionek

Burnout | Physiology and Behavior 

Physiology and Behavior 1 | Physiology and Behavior 

Estresse e Neuroimunologia | Physiology and Behavior 

EEG Data Analysis I | EEG Data Analysis

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

EEGLAB | EEG Data Analysis 

Translational Education | Translational Education

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

Competências Socioemocionais 1/3 | Translational Education 

Desarrollo del lenguaje pre-linguístico | Translational Education

Early childhood | Translational Education

Educação na Pandemia | Translational Education 

Memory and Cognitive Control | Neuroscience Meetings 

Cognitive Neuroscience CNS 2022 Neurociencia y Sociedad Neuroscience 2022 Behavioral Neuroscience Meetings - Latin American and IntentionalEncuentros de Neurociencia Conductual - Latinoamericanos e Intencionales Encontros de Neurociência Comportamental - Latino-Americanos e IntencionaisSociedade Brasileira de Neurociências e ComportamentoSociedad Chilena de Neurociencia

 






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00:00:00 - 01:37:00

Burnout


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01:37:00 - 03:26:00

Physiology and Behavior 1


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03:26:00 - 06:56:00

Estresse e Neuroimunologia


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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


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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


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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


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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


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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


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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


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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


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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

The content published here is the exclusive responsibility of the authors.

Autor:

Jackson Cionek










Haz lo que aporte valor a tu vida y a la humanidad, haz lo que te gusta con responsabilidad - Burnout, Physiology and Behavior, Translational Education, EEG ERP P300 N400 research: Haz lo que aporte valor a tu vida y a la humanidad, haz lo que te gusta con responsabilidad - Burnout, Physiology and Behavior, Translational Education, EEG ERP P300 N400 research Thursday, 15 de December de 2022 Haz lo que aporte valor a tu vida y a la humanidad, haz lo que te gusta con responsabilidad - Burnout, Physiology and Behavior, Translational Education, EEG ERP P300 N400 research Valor e sentido da vida Jackson_Cionek Burnout | Physiology and Behavior  Physiology and Behavior 1 | Physiology and Behavior  Estresse e Neuroimunologia | Physiology and Behavior  EEG Data Analysis I | EEG Data Analysis 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 EEGLAB | EEG Data Analysis  Translational Education | Translational Education 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 Competências Socioemocionais 1/3 | Translational Education  Desarrollo del lenguaje pre-linguístico | Translational Education Early childhood | Translational Education Educação na Pandemia | Translational Education  Memory and Cognitive Control | Neuroscience Meetings  Cognitive Neuroscience CNS 2022 Neurociencia y Sociedad Neuroscience 2022 Behavioral Neuroscience Meetings - Latin American and IntentionalEncuentros de Neurociencia Conductual - Latinoamericanos e Intencionales Encontros de Neurociência Comportamental - Latino-Americanos e IntencionaisSociedade Brasileira de Neurociências e ComportamentoSociedad Chilena de Neurociencia   Burnout | Physiology and Behavior 00:00:00 - 01:37:00 Burnout Physiology and Behavior 1 | Physiology and Behavior 01:37:00 - 03:26:00 Physiology and Behavior 1 Estresse e Neuroimunologia | Physiology and Behavior 03:26:00 - 06:56:00 Estresse e Neuroimunologia EEG Data Analysis I | EEG Data Analysis 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 EEGLAB | EEG Data 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 Translational Education | Translational Education 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 Competências Socioemocionais 1/3 | Translational Education 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 Desarrollo del lenguaje pre-linguístico | Translational Education 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 Early childhood | Translational Education 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 Educação na Pandemia | Translational Education 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 Memory and Cognitive Control | Neuroscience Meetings 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 The content published here is the exclusive responsibility of the authors. Autor: Jackson Cionek

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