Attention and Consciousness, Attention and Brain Machine Interface, Neuroscience Lab, EEG Data Analysis - EEG ERP P300 N400 interactive ICA, PCA, FFT, DSA. Wavelets, LORETA

12/05/2023 02:44:53 Author: Jackson Cionek

Attention and Consciousness, Attention and Brain Machine Interface, Neuroscience Lab, EEG Data Analysis - EEG ERP P300 N400 interactive ICA, PCA, FFT, DSA. Wavelets, LORETA 

Attention and Consciousness
Attention and Consciousness

Neuroscience Lab - Neurobiology 

Neurobiology Part 1

Neurobiology Part 2

Neurobiology Part 3

EEG Data Analysis I | EEG Data Analysis

EEG Data Analysis Analyzer: 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

Attention & Memory - Attention and Brain Machine Interface

Attention and Brain Machine Interface

Attention & Memory - Attention and Consciousness

Attention and Consciousness

Attention & Memory - How to study attention and memory? 

How to study attention and memory?

Metacognition & MindSet - Metacognition & MindSet Conferences

Perda da Soberania Nacional

Estado Responsável Laico Democrático e de Direito

Deus a Verdade está entre nós - Nunca em nós.

Religare Politics and Neuroscience

Consciousness in First-Person

Ser Humano é Ser Racional?

Deus Laico Democrático e de Direito

Consciência no Corpo, Alma e Espírito sem Vida após a Morte

 



 

Metacognition & MindSet - 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

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Autor:

Jackson Cionek