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Udemy - Complete neural signal processing and analysis Zero to hero (11.2024)

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File Name
Size
01. Introduction/01. Broad introduction to neural time series analysis.mp4
15 MB
01. Introduction/01. Broad introduction to neural time series analysis.vtt
10 kB
01. Introduction/02. Neural data science as source sepatation.mp4
28 MB
01. Introduction/02. Neural data science as source sepatation.vtt
19 kB
01. Introduction/03. What to expect from this course.mp4
73 MB
01. Introduction/03. What to expect from this course.vtt
14 kB
01. Introduction/04. A quick note about how this went from 2 to 1 course.mp4
23 MB
01. Introduction/04. A quick note about how this went from 2 to 1 course.vtt
3.0 kB
01. Introduction/05. Download this file if you are using Octave (otherwise ignore).html
279 B
01. Introduction/assets/05. topoplotIndieOctave.m
7.5 kB
02. The basics of neural signal processing/01. Download MATLAB materials for this course.html
64 B
02. The basics of neural signal processing/02. Origin, significance, and interpretation of EEG.mp4
344 MB
02. The basics of neural signal processing/02. Origin, significance, and interpretation of EEG.vtt
24 kB
02. The basics of neural signal processing/03. Overview of possible preprocessing steps.mp4
57 MB
02. The basics of neural signal processing/03. Overview of possible preprocessing steps.vtt
16 kB
02. The basics of neural signal processing/04. ICA for data cleaning.mp4
438 MB
02. The basics of neural signal processing/04. ICA for data cleaning.vtt
24 kB
02. The basics of neural signal processing/05. Signal artifacts (not) to worry about.mp4
280 MB
02. The basics of neural signal processing/05. Signal artifacts (not) to worry about.vtt
19 kB
02. The basics of neural signal processing/06. Topographical mapping.mp4
116 MB
02. The basics of neural signal processing/06. Topographical mapping.vtt
15 kB
02. The basics of neural signal processing/07. Overview of time-domain analyses (ERPs).mp4
66 MB
02. The basics of neural signal processing/07. Overview of time-domain analyses (ERPs).vtt
19 kB
02. The basics of neural signal processing/08. Motivations for rhythm-based analyses.mp4
93 MB
02. The basics of neural signal processing/08. Motivations for rhythm-based analyses.vtt
20 kB
02. The basics of neural signal processing/09. Interpreting time-frequency plots.mp4
69 MB
02. The basics of neural signal processing/09. Interpreting time-frequency plots.vtt
20 kB
02. The basics of neural signal processing/10. The empirical datasets used in this course.mp4
19 MB
02. The basics of neural signal processing/10. The empirical datasets used in this course.vtt
5.1 kB
02. The basics of neural signal processing/11. MATLAB EEG dataset.mp4
137 MB
02. The basics of neural signal processing/11. MATLAB EEG dataset.vtt
23 kB
02. The basics of neural signal processing/12. MATLAB V1 dataset.mp4
51 MB
02. The basics of neural signal processing/12. MATLAB V1 dataset.vtt
9.9 kB
02. The basics of neural signal processing/13. Where to get more EEG data.mp4
25 MB
02. The basics of neural signal processing/13. Where to get more EEG data.vtt
4.8 kB
02. The basics of neural signal processing/14. Simulating data to understand analysis methods.mp4
148 MB
02. The basics of neural signal processing/14. Simulating data to understand analysis methods.vtt
26 kB
02. The basics of neural signal processing/15. Problem set introduction and explanation.mp4
36 MB
02. The basics of neural signal processing/15. Problem set introduction and explanation.vtt
5.1 kB
02. The basics of neural signal processing/16. Problem set (12) Simulating and visualizing data.mp4
481 MB
02. The basics of neural signal processing/16. Problem set (12) Simulating and visualizing data.vtt
41 kB
02. The basics of neural signal processing/17. Problem set (22) Simulating and visualizing data.mp4
453 MB
02. The basics of neural signal processing/17. Problem set (22) Simulating and visualizing data.vtt
42 kB
02. The basics of neural signal processing/18. Planck, neuron, universe.mp4
20 MB
02. The basics of neural signal processing/18. Planck, neuron, universe.vtt
4.3 kB
02. The basics of neural signal processing/assets/01. uANTS-intro-MATLABfiles.zip
32 MB
03. Simulating time series signals and noise/01. MATLAB files for this section.html
52 B
03. Simulating time series signals and noise/02. Why simulate data.mp4
42 MB
03. Simulating time series signals and noise/02. Why simulate data.vtt
10 kB
03. Simulating time series signals and noise/03. Generating white and pink noise.mp4
62 MB
03. Simulating time series signals and noise/03. Generating white and pink noise.vtt
16 kB
03. Simulating time series signals and noise/04. The three important equations (sine, Gaussian, Euler's).mp4
119 MB
03. Simulating time series signals and noise/04. The three important equations (sine, Gaussian, Euler's).vtt
29 kB
03. Simulating time series signals and noise/05. Generating chirps (frequency-modulated signals).mp4
28 MB
03. Simulating time series signals and noise/05. Generating chirps (frequency-modulated signals).vtt
8.3 kB
03. Simulating time series signals and noise/06. Non-stationary narrowband activity via filtered noise.mp4
21 MB
03. Simulating time series signals and noise/06. Non-stationary narrowband activity via filtered noise.vtt
7.0 kB
03. Simulating time series signals and noise/07. Transient oscillation.mp4
26 MB
03. Simulating time series signals and noise/07. Transient oscillation.vtt
9.0 kB
03. Simulating time series signals and noise/08. The eeglab EEG structure.mp4
69 MB
03. Simulating time series signals and noise/08. The eeglab EEG structure.vtt
15 kB
03. Simulating time series signals and noise/09. Project 1-1 Channel-level EEG data.mp4
66 MB
03. Simulating time series signals and noise/09. Project 1-1 Channel-level EEG data.vtt
12 kB
03. Simulating time series signals and noise/10. Project 1-1 Solutions.mp4
61 MB
03. Simulating time series signals and noise/10. Project 1-1 Solutions.vtt
15 kB
03. Simulating time series signals and noise/11. Projecting dipoles onto EEG electrodes.mp4
67 MB
03. Simulating time series signals and noise/11. Projecting dipoles onto EEG electrodes.vtt
11 kB
03. Simulating time series signals and noise/12. Project 1-2 dipole-level EEG data.mp4
30 MB
03. Simulating time series signals and noise/12. Project 1-2 dipole-level EEG data.vtt
6.2 kB
03. Simulating time series signals and noise/13. Project 1-2 Solutions.mp4
84 MB
03. Simulating time series signals and noise/13. Project 1-2 Solutions.vtt
14 kB
03. Simulating time series signals and noise/assets/01. NTSA-simEEG.zip
17 MB
04. Time-domain analyses/01. MATLAB files for this section.html
51 B
04. Time-domain analyses/02. Event-related potential (ERP).mp4
214 MB
04. Time-domain analyses/02. Event-related potential (ERP).vtt
23 kB
04. Time-domain analyses/03. Lowpass filter an ERP.mp4
152 MB
04. Time-domain analyses/03. Lowpass filter an ERP.vtt
20 kB
04. Time-domain analyses/04. Compute the average reference.mp4
37 MB
04. Time-domain analyses/04. Compute the average reference.vtt
8.4 kB
04. Time-domain analyses/05. Butterfly plot and topo-variance time series.mp4
48 MB
04. Time-domain analyses/05. Butterfly plot and topo-variance time series.vtt
7.7 kB
04. Time-domain analyses/06. Topography time series.mp4
80 MB
04. Time-domain analyses/06. Topography time series.vtt
16 kB
04. Time-domain analyses/07. Simulate ERPs from two dipoles.mp4
67 MB
04. Time-domain analyses/07. Simulate ERPs from two dipoles.vtt
12 kB
04. Time-domain analyses/08. Project 2-1 Quantify the ERP as peak-mean or peak-to-peak.mp4
46 MB
04. Time-domain analyses/08. Project 2-1 Quantify the ERP as peak-mean or peak-to-peak.vtt
9.2 kB
04. Time-domain analyses/09. Project 2-1 Solutions.mp4
101 MB
04. Time-domain analyses/09. Project 2-1 Solutions.vtt
19 kB
04. Time-domain analyses/10. Project 2-2 ERP peak latency topoplot.mp4
12 MB
04. Time-domain analyses/10. Project 2-2 ERP peak latency topoplot.vtt
3.2 kB
04. Time-domain analyses/11. Project 2-2 Solutions.mp4
55 MB
04. Time-domain analyses/11. Project 2-2 Solutions.vtt
9.8 kB
04. Time-domain analyses/assets/01. NTSA-timeDomain.zip
35 MB
05. Static spectral analysis/01. Download MATLAB materials for this section.html
93 B
05. Static spectral analysis/02. Course tangent self-accountability in online learning.mp4
19 MB
05. Static spectral analysis/02. Course tangent self-accountability in online learning.vtt
3.6 kB
05. Static spectral analysis/03. Time and frequency domains.mp4
31 MB
05. Static spectral analysis/03. Time and frequency domains.vtt
12 kB
05. Static spectral analysis/04. Sine waves.mp4
31 MB
05. Static spectral analysis/04. Sine waves.vtt
9.7 kB
05. Static spectral analysis/05. MATLAB Sine waves and their parameters.mp4
56 MB
05. Static spectral analysis/05. MATLAB Sine waves and their parameters.vtt
11 kB
05. Static spectral analysis/06. Complex numbers.mp4
36 MB
05. Static spectral analysis/06. Complex numbers.vtt
17 kB
05. Static spectral analysis/07. Euler's formula.mp4
30 MB
05. Static spectral analysis/07. Euler's formula.vtt
14 kB
05. Static spectral analysis/08. MATLAB Complex numbers and Euler's formula.mp4
70 MB
05. Static spectral analysis/08. MATLAB Complex numbers and Euler's formula.vtt
14 kB
05. Static spectral analysis/09. The dot product.mp4
28 MB
05. Static spectral analysis/09. The dot product.vtt
11 kB
05. Static spectral analysis/10. MATLAB Dot product and sine waves.mp4
73 MB
05. Static spectral analysis/10. MATLAB Dot product and sine waves.vtt
13 kB
05. Static spectral analysis/11. Complex sine waves.mp4
16 MB
05. Static spectral analysis/11. Complex sine waves.vtt
5.5 kB
05. Static spectral analysis/12. MATLAB Complex sine waves.mp4
76 MB
05. Static spectral analysis/12. MATLAB Complex sine waves.vtt
7.9 kB
05. Static spectral analysis/13. The complex dot product.mp4
19 MB
05. Static spectral analysis/13. The complex dot product.vtt
8.5 kB
05. Static spectral analysis/14. MATLAB The complex dot product.mp4
192 MB
05. Static spectral analysis/14. MATLAB The complex dot product.vtt
16 kB
05. Static spectral analysis/15. Fourier coefficients.mp4
45 MB
05. Static spectral analysis/15. Fourier coefficients.vtt
14 kB
05. Static spectral analysis/16. MATLAB The discrete-time Fourier transform.mp4
210 MB
05. Static spectral analysis/16. MATLAB The discrete-time Fourier transform.vtt
18 kB
05. Static spectral analysis/17. MATLAB Fourier coefficients as complex numbers.mp4
231 MB
05. Static spectral analysis/17. MATLAB Fourier coefficients as complex numbers.vtt
20 kB
05. Static spectral analysis/18. Frequencies in the Fourier transform.mp4
35 MB
05. Static spectral analysis/18. Frequencies in the Fourier transform.vtt
15 kB
05. Static spectral analysis/19. Positive and negative frequencies.mp4
40 MB
05. Static spectral analysis/19. Positive and negative frequencies.vtt
17 kB
05. Static spectral analysis/20. Accurate scaling of Fourier coefficients.mp4
30 MB
05. Static spectral analysis/20. Accurate scaling of Fourier coefficients.vtt
9.9 kB
05. Static spectral analysis/21. MATLAB Positivenegative spectrum; amplitude scaling.mp4
183 MB
05. Static spectral analysis/21. MATLAB Positivenegative spectrum; amplitude scaling.vtt
21 kB
05. Static spectral analysis/22. MATLAB Spectral analysis of resting-state EEG.mp4
93 MB
05. Static spectral analysis/22. MATLAB Spectral analysis of resting-state EEG.vtt
17 kB
05. Static spectral analysis/23. MATLAB Quantify alpha power over the scalp.mp4
139 MB
05. Static spectral analysis/23. MATLAB Quantify alpha power over the scalp.vtt
22 kB
05. Static spectral analysis/24. The perfection of the Fourier transform.mp4
59 MB
05. Static spectral analysis/24. The perfection of the Fourier transform.vtt
11 kB
05. Static spectral analysis/25. The inverse Fourier transform.mp4
23 MB
05. Static spectral analysis/25. The inverse Fourier transform.vtt
8.0 kB
05. Static spectral analysis/26. MATLAB Reconstruct a signal via inverse FFT.mp4
64 MB
05. Static spectral analysis/26. MATLAB Reconstruct a signal via inverse FFT.vtt
12 kB
05. Static spectral analysis/27. Frequency resolution and zero-padding.mp4
30 MB
05. Static spectral analysis/27. Frequency resolution and zero-padding.vtt
12 kB
05. Static spectral analysis/28. MATLAB Frequency resolution and zero-padding.mp4
164 MB
05. Static spectral analysis/28. MATLAB Frequency resolution and zero-padding.vtt
20 kB
05. Static spectral analysis/29. Estimation errors and Fourier coefficients.mp4
24 MB
05. Static spectral analysis/29. Estimation errors and Fourier coefficients.vtt
9.4 kB
05. Static spectral analysis/30. Signal nonstationarities.mp4
45 MB
05. Static spectral analysis/30. Signal nonstationarities.vtt
15 kB
05. Static spectral analysis/31. MATLAB Examples of sharp nonstationarities on power spectra.mp4
67 MB
05. Static spectral analysis/31. MATLAB Examples of sharp nonstationarities on power spectra.vtt
12 kB
05. Static spectral analysis/32. MATLAB Examples of smooth nonstationarities on power spectra.mp4
216 MB
05. Static spectral analysis/32. MATLAB Examples of smooth nonstationarities on power spectra.vtt
20 kB
05. Static spectral analysis/33. Welch's method for smooth spectral decomposition.mp4
62 MB
05. Static spectral analysis/33. Welch's method for smooth spectral decomposition.vtt
13 kB
05. Static spectral analysis/34. MATLAB Welch's method on phase-slip data.mp4
77 MB
05. Static spectral analysis/34. MATLAB Welch's method on phase-slip data.vtt
14 kB
05. Static spectral analysis/35. MATLAB Welch's method on resting-state EEG data.mp4
40 MB
05. Static spectral analysis/35. MATLAB Welch's method on resting-state EEG data.vtt
7.4 kB
05. Static spectral analysis/36. MATLAB Welch's method on V1 dataset.mp4
32 MB
05. Static spectral analysis/36. MATLAB Welch's method on V1 dataset.vtt
6.5 kB
05. Static spectral analysis/37. Problem set (12) Spectral analyses of real and simulated data.mp4
427 MB
05. Static spectral analysis/37. Problem set (12) Spectral analyses of real and simulated data.vtt
39 kB
05. Static spectral analysis/38. Problem set (22) Spectral analyses of real and simulated data.mp4
467 MB
05. Static spectral analysis/38. Problem set (22) Spectral analyses of real and simulated data.vtt
43 kB
05. Static spectral analysis/assets/01. uANTS-static-MATLABfiles.zip
47 MB
06. More on static spectral analyses/01. MATLAB files for this section.html
51 B
06. More on static spectral analyses/02. Program the Fourier transform from scratch!.mp4
22 MB
06. More on static spectral analyses/02. Program the Fourier transform from scratch!.vtt
5.0 kB
06. More on static spectral analyses/03. Program the inverse Fourier transform from scratch!.mp4
30 MB
06. More on static spectral analyses/03. Program the inverse Fourier transform from scratch!.vtt
6.5 kB
06. More on static spectral analyses/04. Spectral separation on simulated dipole data.mp4
37 MB
06. More on static spectral analyses/04. Spectral separation on simulated dipole data.vtt
7.2 kB
06. More on static spectral analyses/05. FFT of stationary and non-stationary simulated data.mp4
65 MB
06. More on static spectral analyses/05. FFT of stationary and non-stationary simulated data.vtt
15 kB
06. More on static spectral analyses/06. FFT and Welch's method on EEG resting state data.mp4
62 MB
06. More on static spectral analyses/06. FFT and Welch's method on EEG resting state data.vtt
15 kB
06. More on static spectral analyses/07. To taper or not to taper.mp4
104 MB
06. More on static spectral analyses/07. To taper or not to taper.vtt
21 kB
06. More on static spectral analyses/08. Extracting average power from a frequency band.mp4
24 MB
06. More on static spectral analyses/08. Extracting average power from a frequency band.vtt
6.0 kB
06. More on static spectral analyses/09. Comparing average spectra vs. spectra of an average.mp4
76 MB
06. More on static spectral analyses/09. Comparing average spectra vs. spectra of an average.vtt
14 kB
06. More on static spectral analyses/10. Project 3-1 Topography of spectrally separated activity.mp4
28 MB
06. More on static spectral analyses/10. Project 3-1 Topography of spectrally separated activity.vtt
5.3 kB
06. More on static spectral analyses/11. Project 3-1 Solutions.mp4
81 MB
06. More on static spectral analyses/11. Project 3-1 Solutions.vtt
14 kB
06. More on static spectral analyses/12. Project 3-2 Topography of alpha-theta ratio.mp4
21 MB
06. More on static spectral analyses/12. Project 3-2 Topography of alpha-theta ratio.vtt
4.5 kB
06. More on static spectral analyses/13. Project 3-2 Solutions.mp4
130 MB
06. More on static spectral analyses/13. Project 3-2 Solutions.vtt
13 kB
06. More on static spectral analyses/assets/01. NTSA-spectral.zip
35 MB
07. Time-frequency analysis/01. Download MATLAB materials for this section.html
88 B
07. Time-frequency analysis/02. Morlet wavelets in time and in frequency.mp4
71 MB
07. Time-frequency analysis/02. Morlet wavelets in time and in frequency.vtt
22 kB
07. Time-frequency analysis/03. MATLAB Getting to know Morlet wavelets.mp4
167 MB
07. Time-frequency analysis/03. MATLAB Getting to know Morlet wavelets.vtt
17 kB
07. Time-frequency analysis/04. Convolution in the time domain.mp4
63 MB
07. Time-frequency analysis/04. Convolution in the time domain.vtt
28 kB
07. Time-frequency analysis/05. MATLAB Time-domain convolution.mp4
178 MB
07. Time-frequency analysis/05. MATLAB Time-domain convolution.vtt
17 kB
07. Time-frequency analysis/06. Convolution as spectral multiplication.mp4
70 MB
07. Time-frequency analysis/06. Convolution as spectral multiplication.vtt
24 kB
07. Time-frequency analysis/07. MATLAB The five steps of convolution.mp4
64 MB
07. Time-frequency analysis/07. MATLAB The five steps of convolution.vtt
10 kB
07. Time-frequency analysis/08. MATLAB Convolve real data with a Gaussian.mp4
98 MB
07. Time-frequency analysis/08. MATLAB Convolve real data with a Gaussian.vtt
15 kB
07. Time-frequency analysis/09. MATLAB Complex Morlet wavelets.mp4
55 MB
07. Time-frequency analysis/09. MATLAB Complex Morlet wavelets.vtt
10 kB
07. Time-frequency analysis/10. Complex Morlet wavelet convolution.mp4
71 MB
07. Time-frequency analysis/10. Complex Morlet wavelet convolution.vtt
15 kB
07. Time-frequency analysis/11. Convolution coding tips.mp4
21 MB
07. Time-frequency analysis/11. Convolution coding tips.vtt
9.6 kB
07. Time-frequency analysis/12. MATLAB Complex Morlet wavelet convolution.mp4
137 MB
07. Time-frequency analysis/12. MATLAB Complex Morlet wavelet convolution.vtt
22 kB
07. Time-frequency analysis/13. MATLAB Convolution with all trials!.mp4
93 MB
07. Time-frequency analysis/13. MATLAB Convolution with all trials!.vtt
9.8 kB
07. Time-frequency analysis/14. MATLAB A full time-frequency power plot!.mp4
62 MB
07. Time-frequency analysis/14. MATLAB A full time-frequency power plot!.vtt
12 kB
07. Time-frequency analysis/15. Averaging phase values.mp4
40 MB
07. Time-frequency analysis/15. Averaging phase values.vtt
16 kB
07. Time-frequency analysis/16. Inter-trial phase clustering (ITPCITC).mp4
61 MB
07. Time-frequency analysis/16. Inter-trial phase clustering (ITPCITC).vtt
19 kB
07. Time-frequency analysis/17. MATLAB ITPC.mp4
83 MB
07. Time-frequency analysis/17. MATLAB ITPC.vtt
16 kB
07. Time-frequency analysis/18. Parameters of Morlet wavelet (time-frequency trade-off).mp4
140 MB
07. Time-frequency analysis/18. Parameters of Morlet wavelet (time-frequency trade-off).vtt
22 kB
07. Time-frequency analysis/19. MATLAB Time-frequency trade-off.mp4
241 MB
07. Time-frequency analysis/19. MATLAB Time-frequency trade-off.vtt
22 kB
07. Time-frequency analysis/20. The stationarity assumption of wavelet convolution.mp4
18 MB
07. Time-frequency analysis/20. The stationarity assumption of wavelet convolution.vtt
6.2 kB
07. Time-frequency analysis/21. The 1f structure of spectral brain dynamics.mp4
106 MB
07. Time-frequency analysis/21. The 1f structure of spectral brain dynamics.vtt
18 kB
07. Time-frequency analysis/22. Baseline normalization of time-frequency power.mp4
82 MB
07. Time-frequency analysis/22. Baseline normalization of time-frequency power.vtt
22 kB
07. Time-frequency analysis/23. MATLAB Baseline normalization of TF plots.mp4
164 MB
07. Time-frequency analysis/23. MATLAB Baseline normalization of TF plots.vtt
15 kB
07. Time-frequency analysis/24. Scale-free dynamics via detrended fluctuation analysis (DFA).mp4
44 MB
07. Time-frequency analysis/24. Scale-free dynamics via detrended fluctuation analysis (DFA).vtt
14 kB
07. Time-frequency analysis/25. MATLAB detrended fluctuation analysis.mp4
206 MB
07. Time-frequency analysis/25. MATLAB detrended fluctuation analysis.vtt
27 kB
07. Time-frequency analysis/26. The filter-Hilbert time-frequency method.mp4
72 MB
07. Time-frequency analysis/26. The filter-Hilbert time-frequency method.vtt
28 kB
07. Time-frequency analysis/27. MATLAB Filter-Hilbert.mp4
132 MB
07. Time-frequency analysis/27. MATLAB Filter-Hilbert.vtt
21 kB
07. Time-frequency analysis/28. The short-time Fourier transform (STFFT).mp4
23 MB
07. Time-frequency analysis/28. The short-time Fourier transform (STFFT).vtt
8.8 kB
07. Time-frequency analysis/29. MATLAB STFFT.mp4
58 MB
07. Time-frequency analysis/29. MATLAB STFFT.vtt
9.0 kB
07. Time-frequency analysis/30. Comparing wavelet, filter-Hilbert, and STFFT.mp4
64 MB
07. Time-frequency analysis/30. Comparing wavelet, filter-Hilbert, and STFFT.vtt
16 kB
07. Time-frequency analysis/31. The multi-taper method.mp4
39 MB
07. Time-frequency analysis/31. The multi-taper method.vtt
13 kB
07. Time-frequency analysis/32. Within-subject, cross-trial regression.mp4
53 MB
07. Time-frequency analysis/32. Within-subject, cross-trial regression.vtt
21 kB
07. Time-frequency analysis/33. MATLAB Cross-trial regression.mp4
326 MB
07. Time-frequency analysis/33. MATLAB Cross-trial regression.vtt
30 kB
07. Time-frequency analysis/34. Temporal resolution vs. precision, pre- and post-convolution.mp4
64 MB
07. Time-frequency analysis/34. Temporal resolution vs. precision, pre- and post-convolution.vtt
11 kB
07. Time-frequency analysis/35. MATLAB Downsampling time-frequency results.mp4
201 MB
07. Time-frequency analysis/35. MATLAB Downsampling time-frequency results.vtt
20 kB
07. Time-frequency analysis/36. MATLAB Linear vs. logarithmic frequency scaling.mp4
102 MB
07. Time-frequency analysis/36. MATLAB Linear vs. logarithmic frequency scaling.vtt
17 kB
07. Time-frequency analysis/37. Separating phase-locked and non-phase-locked activity.mp4
64 MB
07. Time-frequency analysis/37. Separating phase-locked and non-phase-locked activity.vtt
16 kB
07. Time-frequency analysis/38. MATLAB Total, non-phase-locked, and phase-locked power.mp4
275 MB
07. Time-frequency analysis/38. MATLAB Total, non-phase-locked, and phase-locked power.vtt
24 kB
07. Time-frequency analysis/39. Edge effects, buffer zones, and data epoch length.mp4
68 MB
07. Time-frequency analysis/39. Edge effects, buffer zones, and data epoch length.vtt
12 kB
07. Time-frequency analysis/40. Problem set (13) Time-frequency analysis.mp4
360 MB
07. Time-frequency analysis/40. Problem set (13) Time-frequency analysis.vtt
36 kB
07. Time-frequency analysis/41. Problem set (23) Time-frequency analysis.mp4
169 MB
07. Time-frequency analysis/41. Problem set (23) Time-frequency analysis.vtt
25 kB
07. Time-frequency analysis/42. Problem set (33) Time-frequency analysis.mp4
346 MB
07. Time-frequency analysis/42. Problem set (33) Time-frequency analysis.vtt
41 kB
07. Time-frequency analysis/assets/01. uANTS-timefreq-MATLABfiles.zip
34 MB
07. Time-frequency analysis/assets/18. Cohen-betterWavelets.pdf
1.2 MB
08. More on time-frequency analysis/01. MATLAB files for this section.html
55 B
08. More on time-frequency analysis/02. Create a family of complex Morlet wavelets.mp4
58 MB
08. More on time-frequency analysis/02. Create a family of complex Morlet wavelets.vtt
12 kB
08. More on time-frequency analysis/03. Create a time-frequency plot of a nonlinear chirp.mp4
73 MB
08. More on time-frequency analysis/03. Create a time-frequency plot of a nonlinear chirp.vtt
15 kB
08. More on time-frequency analysis/04. Compare wavelet-derived spectrum and FFT.mp4
55 MB
08. More on time-frequency analysis/04. Compare wavelet-derived spectrum and FFT.vtt
12 kB
08. More on time-frequency analysis/05. Wavelet convolution of close frequencies.mp4
53 MB
08. More on time-frequency analysis/05. Wavelet convolution of close frequencies.vtt
14 kB
08. More on time-frequency analysis/06. Time-frequency power of multitrial EEG activity.mp4
44 MB
08. More on time-frequency analysis/06. Time-frequency power of multitrial EEG activity.vtt
9.1 kB
08. More on time-frequency analysis/07. Baseline normalize power with dB and % change.mp4
67 MB
08. More on time-frequency analysis/07. Baseline normalize power with dB and % change.vtt
13 kB
08. More on time-frequency analysis/08. Exploring wavelet parameters in real data.mp4
74 MB
08. More on time-frequency analysis/08. Exploring wavelet parameters in real data.vtt
13 kB
08. More on time-frequency analysis/09. Exploring wavelet parameters in simulated data.mp4
67 MB
08. More on time-frequency analysis/09. Exploring wavelet parameters in simulated data.vtt
14 kB
08. More on time-frequency analysis/10. Inter-trial phase clustering before vs. after removing ERP.mp4
59 MB
08. More on time-frequency analysis/10. Inter-trial phase clustering before vs. after removing ERP.vtt
11 kB
08. More on time-frequency analysis/11. Downsampling time-frequency power.mp4
48 MB
08. More on time-frequency analysis/11. Downsampling time-frequency power.vtt
9.3 kB
08. More on time-frequency analysis/12. Visualize time-frequency power from all channels.mp4
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08. More on time-frequency analysis/12. Visualize time-frequency power from all channels.vtt
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08. More on time-frequency analysis/13. Instantaneous frequency in simulated data.mp4
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08. More on time-frequency analysis/13. Instantaneous frequency in simulated data.vtt
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08. More on time-frequency analysis/14. Instantaneous frequency in real data.mp4
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08. More on time-frequency analysis/14. Instantaneous frequency in real data.vtt
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08. More on time-frequency analysis/15. Project 4-1 Phase-locked, non-phase-locked, and total power.mp4
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08. More on time-frequency analysis/15. Project 4-1 Phase-locked, non-phase-locked, and total power.vtt
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08. More on time-frequency analysis/16. Project 4-1 Solutions.mp4
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08. More on time-frequency analysis/16. Project 4-1 Solutions.vtt
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08. More on time-frequency analysis/17. Narrowband filtering and the Hilbert transform.mp4
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08. More on time-frequency analysis/17. Narrowband filtering and the Hilbert transform.vtt
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08. More on time-frequency analysis/18. Project 4-2 Time-frequency power plot via filter-Hilbert.mp4
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08. More on time-frequency analysis/18. Project 4-2 Time-frequency power plot via filter-Hilbert.vtt
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08. More on time-frequency analysis/19. Project 4-2 Solutions.mp4
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08. More on time-frequency analysis/19. Project 4-2 Solutions.vtt
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08. More on time-frequency analysis/assets/01. NTSA-timefreq.zip
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09. Synchronization analyses/01. Download MATLAB materials for this section.html
59 B
09. Synchronization analyses/02. Four things to keep in mind about connectivity.mp4
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09. Synchronization analyses/02. Four things to keep in mind about connectivity.vtt
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09. Synchronization analyses/03. Volume conduction and what to do about it.mp4
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09. Synchronization analyses/03. Volume conduction and what to do about it.vtt
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09. Synchronization analyses/04. Intuition about phase synchronization.mp4
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09. Synchronization analyses/04. Intuition about phase synchronization.vtt
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09. Synchronization analyses/05. Inter-site phase clustering (ISPC).mp4
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09. Synchronization analyses/05. Inter-site phase clustering (ISPC).vtt
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09. Synchronization analyses/06. MATLAB ISPC.mp4
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09. Synchronization analyses/06. MATLAB ISPC.vtt
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09. Synchronization analyses/07. Surface Laplacian for connectivity analyses.mp4
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09. Synchronization analyses/07. Surface Laplacian for connectivity analyses.vtt
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09. Synchronization analyses/08. MATLAB Laplacian in simulated data.mp4
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09. Synchronization analyses/08. MATLAB Laplacian in simulated data.vtt
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09. Synchronization analyses/09. MATLAB Laplacian in real EEG data.mp4
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09. Synchronization analyses/09. MATLAB Laplacian in real EEG data.vtt
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09. Synchronization analyses/10. Phase-lag-based connectivity.mp4
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09. Synchronization analyses/10. Phase-lag-based connectivity.vtt
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09. Synchronization analyses/11. MATLAB phase-lag index.mp4
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09. Synchronization analyses/11. MATLAB phase-lag index.vtt
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09. Synchronization analyses/12. When to use phase-lag vs. phase-clustering measures.mp4
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09. Synchronization analyses/12. When to use phase-lag vs. phase-clustering measures.vtt
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09. Synchronization analyses/13. MATLAB Phase synchronization in voltage and Laplacian data.mp4
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09. Synchronization analyses/13. MATLAB Phase synchronization in voltage and Laplacian data.vtt
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09. Synchronization analyses/14. Connectivity over time vs. over trials.mp4
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09. Synchronization analyses/15. MATLAB Connectivity over time vs. over trials.mp4
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09. Synchronization analyses/15. MATLAB Connectivity over time vs. over trials.vtt
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09. Synchronization analyses/16. MATLAB Simulating data to test connectivity methods.mp4
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09. Synchronization analyses/16. MATLAB Simulating data to test connectivity methods.vtt
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09. Synchronization analyses/17. Two methods of power-based connectivity.mp4
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09. Synchronization analyses/17. Two methods of power-based connectivity.vtt
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09. Synchronization analyses/18. Granger causality (prediction).mp4
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09. Synchronization analyses/18. Granger causality (prediction).vtt
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09. Synchronization analyses/19. MATLAB Granger causality.mp4
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09. Synchronization analyses/20. Hubness from graph theory.mp4
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09. Synchronization analyses/21. MATLAB Connectivity hubs.mp4
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09. Synchronization analyses/21. MATLAB Connectivity hubs.vtt
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09. Synchronization analyses/22. When to use which connectivity method.mp4
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09. Synchronization analyses/22. When to use which connectivity method.vtt
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09. Synchronization analyses/23. Problem set (12) Pairwise synchronization.mp4
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09. Synchronization analyses/23. Problem set (12) Pairwise synchronization.vtt
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09. Synchronization analyses/24. Problem set (22) Pairwise synchronization.mp4
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09. Synchronization analyses/24. Problem set (22) Pairwise synchronization.vtt
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09. Synchronization analyses/assets/01. uANTS-synch-MATLABfiles.zip
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10. More on synchronization analyses/01. MATLAB files for this section.html
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10. More on synchronization analyses/02. Synchronization in simulated noisy oscillators.mp4
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10. More on synchronization analyses/02. Synchronization in simulated noisy oscillators.vtt
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10. More on synchronization analyses/03. Spurious connectivity in narrowband noise.mp4
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10. More on synchronization analyses/04. Phase synchronization matrices in multitrial data.mp4
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10. More on synchronization analyses/05. Power time series correlations.mp4
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10. More on synchronization analyses/05. Power time series correlations.vtt
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10. More on synchronization analyses/06. Power correlations over trials.mp4
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10. More on synchronization analyses/07. Scalp Laplacian for electrode-level connectivity.mp4
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10. More on synchronization analyses/08. All-to-all synchronization and hubness (graph theory).mp4
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10. More on synchronization analyses/09. Phase-lag index.mp4
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10. More on synchronization analyses/10. Project 5-1 ISPC and PLI, with and without Laplacian.mp4
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10. More on synchronization analyses/11. Project 5-1 Solutions.mp4
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10. More on synchronization analyses/12. Project 5-2 Seeded phase vs. power coupling.mp4
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10. More on synchronization analyses/13. Project 5-2 Solutions.mp4
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10. More on synchronization analyses/13. Project 5-2 Solutions.vtt
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10. More on synchronization analyses/assets/01. NTSA-connect.zip
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11. Permutation-based statistics/01. Download MATLAB materials for this section.html
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11. Permutation-based statistics/02. Introduction The basis of statistics, necessity, and levels.mp4
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11. Permutation-based statistics/02. Introduction The basis of statistics, necessity, and levels.vtt
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11. Permutation-based statistics/03. Parametric vs. nonparametric statistics.mp4
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11. Permutation-based statistics/04. Permutation-based statistics.mp4
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11. Permutation-based statistics/05. MATLAB Permutation testing and shuffling.mp4
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11. Permutation-based statistics/06. MATLAB Permutation testing in real data.mp4
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11. Permutation-based statistics/07. Multiple comparisons and limitations of Bonferroni method.mp4
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11. Permutation-based statistics/07. Multiple comparisons and limitations of Bonferroni method.vtt
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11. Permutation-based statistics/08. Cluster-based multiple comparisons correction.mp4
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11. Permutation-based statistics/09. MATLAB Cluster correction.mp4
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11. Permutation-based statistics/09. MATLAB Cluster correction.vtt
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11. Permutation-based statistics/10. Extreme pixel-based multiple comparisons correction.mp4
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11. Permutation-based statistics/10. Extreme pixel-based multiple comparisons correction.vtt
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11. Permutation-based statistics/11. MATLAB Extreme pixel correction.mp4
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11. Permutation-based statistics/11. MATLAB Extreme pixel correction.vtt
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11. Permutation-based statistics/12. Illustrating statistical significance in plots.mp4
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11. Permutation-based statistics/12. Illustrating statistical significance in plots.vtt
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11. Permutation-based statistics/13. Subject- vs. group-level analyses.mp4
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11. Permutation-based statistics/13. Subject- vs. group-level analyses.vtt
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11. Permutation-based statistics/14. Error bars and guessing significance.mp4
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11. Permutation-based statistics/15. Three approaches for group-level statistics.mp4
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11. Permutation-based statistics/15. Three approaches for group-level statistics.vtt
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11. Permutation-based statistics/16. MATLAB Extracting features for group analyses.mp4
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11. Permutation-based statistics/16. MATLAB Extracting features for group analyses.vtt
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11. Permutation-based statistics/17. Circular inference (double-dipping).mp4
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11. Permutation-based statistics/17. Circular inference (double-dipping).vtt
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11. Permutation-based statistics/assets/01. uANTS-stats-MATLABfiles.zip
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12. More on permutation testing statistics/01. MATLAB files for this section.html
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12. More on permutation testing statistics/02. Permutation testing for one variable and two groups.mp4
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12. More on permutation testing statistics/02. Permutation testing for one variable and two groups.vtt
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12. More on permutation testing statistics/03. Meta-permutation test for increased stability.mp4
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12. More on permutation testing statistics/03. Meta-permutation test for increased stability.vtt
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12. More on permutation testing statistics/04. Permutation testing in simulated time series.mp4
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12. More on permutation testing statistics/05. Permutation testing for cluster correction in simulated data.mp4
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12. More on permutation testing statistics/05. Permutation testing for cluster correction in simulated data.vtt
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12. More on permutation testing statistics/06. Permutation testing and cluster correction in real EEG data.mp4
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12. More on permutation testing statistics/06. Permutation testing and cluster correction in real EEG data.vtt
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12. More on permutation testing statistics/07. Project 7-1 Effects of noise smoothness on cluster correction.mp4
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12. More on permutation testing statistics/07. Project 7-1 Effects of noise smoothness on cluster correction.vtt
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12. More on permutation testing statistics/08. Project 7-1 Solutions.mp4
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12. More on permutation testing statistics/09. Project 7-2 Simulate time-frequency data for statistical testing.mp4
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12. More on permutation testing statistics/09. Project 7-2 Simulate time-frequency data for statistical testing.vtt
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12. More on permutation testing statistics/10. Project 7-2 Solutions.mp4
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12. More on permutation testing statistics/10. Project 7-2 Solutions.vtt
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12. More on permutation testing statistics/assets/01. NTSA-stats.zip
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13. Multivariate components analysis/01. MATLAB files for this section.html
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13. Multivariate components analysis/02. Background knowledge for this section.mp4
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13. Multivariate components analysis/02. Background knowledge for this section.vtt
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13. Multivariate components analysis/03. Simulate multicomponent EEG data.mp4
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13. Multivariate components analysis/03. Simulate multicomponent EEG data.vtt
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13. Multivariate components analysis/04. Create covariance matrices based on time and on frequency.mp4
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13. Multivariate components analysis/04. Create covariance matrices based on time and on frequency.vtt
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13. Multivariate components analysis/05. Principal components analysis (PCA) of simulated data.mp4
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13. Multivariate components analysis/05. Principal components analysis (PCA) of simulated data.vtt
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13. Multivariate components analysis/06. Time-based GED for source-separation in simulated data.mp4
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13. Multivariate components analysis/06. Time-based GED for source-separation in simulated data.vtt
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13. Multivariate components analysis/07. Frequency-based GED for source-separation in simulated data.mp4
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13. Multivariate components analysis/07. Frequency-based GED for source-separation in simulated data.vtt
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13. Multivariate components analysis/08. Project 6-1 GED for interacting alpha sources.mp4
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13. Multivariate components analysis/08. Project 6-1 GED for interacting alpha sources.vtt
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13. Multivariate components analysis/09. Project 6-1 Solutions.mp4
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13. Multivariate components analysis/09. Project 6-1 Solutions.vtt
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13. Multivariate components analysis/assets/01. NTSA-multivar.zip
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14. Bonus section/01. Bonus lecture.html
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