Premeditation, Metacognition, MindSet, Emotional Intelligence, Attention and Consciousness - Attention and Memory, EEG Data Analysis, Attention and BCI, EEG ERP P300 N400 LORETA


Premeditation, Metacognition, MindSet, Emotional Intelligence, Attention and Consciousness - 

Attention and Memory, EEG Data Analysis, Attention and BCI, EEG ERP P300 N400 LORETA

 

Neuroscience Lab - Neurobiology 

Attention and Consciousness
Attention and Consciousness

Neurobiology Part 1

Neurobiology Part 2

Neurobiology Part 3

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

Attention & Memory

Attention and Brain Machine Interface

Attention and Consciousness

How to study attention and memory?

Metacognition & MindSet

Metacognition & MindSet Conferences

Metacognition & MindSet - Emotional Intelligence
Neuroscience 2022 Emotional Intelligence
Neuroscience 2022 Emotional Intelligence 

Emotional Intelligence

 





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00:00:00 - 02:21:00

Neurobiology Part 1


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02:21:00 - 05:43:00

Neurobiology Part 2


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05:43:00 - 08:29:00

Neurobiology Part 3


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08:29:00 - 12:20:00

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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12:20:00 - 15:02:00

Attention & Memory


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15:02:00 - 16:18:00

Attention and Brain Machine Interface


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16:18:00 - 17:47:00

Attention and Consciousness


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17:47:00 - 18:28:00

How to study attention and memory?


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18:28:00 - 22:21:00

Metacognition & MindSet Conferences


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22:21:00 - 23:59:00

Emotional Intelligence




Autor:

Jackson Cionek









Premeditation, Metacognition, MindSet, Emotional Intelligence, Attention and Consciousness - Attention and Memory, EEG Data Analysis, Attention and BCI, EEG ERP P300 N400 LORETA: Premeditation, Metacognition, MindSet, Emotional Intelligence, Attention and Consciousness -  Attention and Memory, EEG Data Analysis, Attention and BCI, EEG ERP P300 N400 LORETA   Neuroscience Lab - Neurobiology  Attention and Consciousness Neurobiology Part 1 Neurobiology Part 2 Neurobiology Part 3 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 Attention & Memory Attention and Brain Machine Interface Attention and Consciousness How to study attention and memory? Metacognition & MindSet Metacognition & MindSet Conferences Metacognition & MindSet - Emotional Intelligence Neuroscience 2022 Emotional Intelligence  Emotional Intelligence   Neuroscience Lab - Neurobiology Part 1 00:00:00 - 02:21:00 Neurobiology Part 1 Neuroscience Lab - Neurobiology Part 2 02:21:00 - 05:43:00 Neurobiology Part 2 Neuroscience Lab - Neurobiology Part 3 05:43:00 - 08:29:00 Neurobiology Part 3 EEG Data Analysis I | EEG Data Analysis 08:29:00 - 12:20:00 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 Attention & Memory - Attention & Memory 12:20:00 - 15:02:00 Attention & Memory Attention & Memory - Attention and Brain Machine Interface 15:02:00 - 16:18:00 Attention and Brain Machine Interface Attention & Memory - Attention and Consciousness 16:18:00 - 17:47:00 Attention and Consciousness Attention & Memory - How to study attention and memory? 17:47:00 - 18:28:00 How to study attention and memory? Metacognition & MindSet - Metacognition & MindSet Conferences 18:28:00 - 22:21:00 Metacognition & MindSet Conferences Metacognition & MindSet - Emotional Intelligence 22:21:00 - 23:59:00 Emotional Intelligence Autor: Jackson Cionek

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