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Fundamentals of Statistics and Computation for Neuroscientists
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Calculating phase and coherence in neural signals
32:26
Calculating phase and coherence in neural signals
Filtering neural signals and processing oscillation amplitude
55:46
Filtering neural signals and processing oscillation amplitude
Equation and parameter free dynamical modeling of natural time series
1:10:08
Equation and parameter free dynamical modeling of natural time series
Week 8: Signal processing basics (Stacy)
32:54
Week 8: Signal processing basics (Stacy)
Week 07: Lecture 2 Differential Equations
21:55
Week 07: Lecture 2 Differential Equations
Week 07: Lecture 1 Calculus
35:04
Week 07: Lecture 1 Calculus
Week 06: Linear Algebra #1
42:35
Week 06: Linear Algebra #1
Week 05: Distribution Testing & Resampling #2
52:12
Week 05: Distribution Testing & Resampling #2
Week 05: Distributions & Resampling #1
58:32
Week 05: Distributions & Resampling #1
Week 4: ANOVA Lecture
37:43
Week 4: ANOVA Lecture
Week 4: General Linear Model Lecture #1
30:35
Week 4: General Linear Model Lecture #1
Week 3: Hypothesis Testing Lecture #2
33:35
Week 3: Hypothesis Testing Lecture #2
Week 3: Hypothesis Testing Lecture #1
58:16
Week 3: Hypothesis Testing Lecture #1
Descriptive Statistics and Distributions Lecture 2
45:10
Descriptive Statistics and Distributions Lecture 2
Descriptive Statistics and Distributions Lecture 1
1:04:47
Descriptive Statistics and Distributions Lecture 1
probabilityLecture1
39:51
probabilityLecture1
probabilityLecture2
32:36
probabilityLecture2
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