The communication of bodies, Brain Gut Axis, Basic Immunology, Big data e os Sentidos da Vida, Video Sync Lab - EEG Data Analysis, EEG ERP P300 N400 ICA FFT Wavelets LORETA

01/06/2022 at 09:06:54

Author: Jackson Cionek

The communication of bodies, Brain Gut Axis, Basic Immunology, Big data e os sentidos da vida, Video Sync Lab - EEG Data Analysis, EEG ERP P300 N400 ICA FFT Wavelets LORETA

Semiotics Research

Big data e os sentidos da vida | NeuroSemiotics

Big data e os sentidos da vida

A comunicação dos corpos | NeuroSemiotics

Emotions in the body
A comunicação dos corpos

Sync Lab | Video Sync Lab

EEG Data Analysis I | EEG Data Analysis

EEG Loreta
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 II

Brain Gut Axis | Brain Gut Axis

A consciência é um movimento que se perceber ser. Este movimiento incluye material y energía que proviene de nuestros intestinos.

Psychoneuroimmunology

Gut and Brain | Brain Gut Axis

PsyImmunology | Brain Gut Axis

The Good Gut | Brain Gut Axis

Semiotics Research | NeuroSemiotics

00:00:00 - 01:54:00

Semiotics Research

Big data e os sentidos da vida | NeuroSemiotics

01:54:00 - 04:10:00

Big data e os sentidos da vida

A comunicação dos corpos | NeuroSemiotics

04:10:00 - 05:53:00

A comunicação dos corpos

Sync Lab | Video Sync Lab

05:53:00 - 07:52:00

Sync Lab

EEG Data Analysis I | EEG Data Analysis

07:52:00 - 11:31:00

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