EEG Data Analysis, EEG Publications, NIRS Publications, EEG-fMRI Publications - Cognitive Neuroscience, Neuroscience Centers, EEG-fMRI EEG ERP BCI P300 NIRS fNIRS

Thursday, 21 de July de 2022

EEG Data Analysis, EEG Publications, NIRS Publications, EEG-fMRI Publications  - Cognitive Neuroscience, Neuroscience Centers, EEG-fMRI EEG ERP BCI P300 NIRS fNIRS

Brain Support in Latin America

VII Simpósio de Neuroengenharia

Brain Support in Latin America

Neuroscience Centers

BESA 1/2 | EEG Data Analysis

EEG Data Analysis Analyzer 
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

EEG Data Analysis I | EEG Data Analysis

EEG Publications:

EEG-fMRI Neuroscience Publication May 2022

EEG Neuroscience Publication May 2022

EEG fMRI Publication 2022 - Brain Products Jan22

EEG ERP Publication 2022 - Brain Products Jan 2022

EEG ERP Publication Feb 2022

EEG-ERP Neuroscience Publications Mar 2022

EEG-fMRI Publication Brain Products Feb 2022

EEG ERP BCI EEG-fMRI Neuroscience Publication April 2022

Neuroscience Publications 2022

EEG-fMRI EEG ERP BCI P300 NIRS fNIRS

EEG ERP BCI NIRS fNIRS Neuroscience Publication 2022

EEG-fMRI Neuroscience Publication Mar 2022

EEG-fMRI Neuroscience Publication Feb 2022

EEG-fMRI Neuroscience Publication Jan 2022

 

EEG ERP BCI FFT N200 P300 N400

EEG-ERP Neuroscience Publication Mar 2022

EEG-ERP Neuroscience Publication Feb 2022

EEG-ERP Neuroscience Publication Jan 2022

NIRS-fNIRS Neuroscience Publications Mar 2022

NIRS-fNIRS Neuroscience Publication Feb 2022

NIRS-fNIRS Neuroscience Publications Jan 2022

NIRS fNIRS Webinars 2022

NIRS fNIRS Webinars before 2022

Cognitive Neuroscience of Volition | Cognitive Neuroscience

Cognitive Neuroscience CNS 2022

 





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Cognitive Neuroscience of Volition | Cognitive Neuroscience

20:00:00 - 23:59:00

Cognitive Neuroscience CNS 2022


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00:00:00 - 13:30:00

Brain Support in Latin America


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13:30:00 - 16:21:00

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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16:21:00 - 20:00:00

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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Autor:

Jackson Cionek