KRIGOLSON TEACHING
NEUROSCIENCE
NEUROSCIENCE 100
>
NEURO 100 INTRODUCTION
NEURO 101 ADVANCED
NEURO 102 AGING
NEURO 103 MEMORY
NEURO 104 DECISION MAKING
NEURO 105 LEARNING
NEURO 500
>
Introduction
1. Motor and Sensory Neurons
2. Reflexes
3. Postural Control
4. Goal Directed Action
5. Online Control
6. Forward and Inverse Models
EXAM ONE
7. PRIMARY VISUAL CORTEX
8. THE DORSAL VISUAL STREAM
9. THE VENTRAL VISUAL STREAM
10. SOMATOSENSATION
11 ATTENTION
EXAM TWO
6. MEMORY
7. EXECUTIVE CONTROL
8. LEARNING
9. DECISION MAKING
10. SOMATOSENSATION
KINESIOLOGY
EPHE 245
>
COURSE READINGS
ADDITIONAL MATERIALS
LABORATORY
PRACTICUM
EPHE 380
>
COURSE INFORMATION
COURSE READINGS
In Class Labs
LAB
>
LAB OVERVIEW
Lab Schedule
How To Write A Research Paper
RESEARCH PROJECT
POSTER PRESENTATION
EPHE 487 / 591
EPHE 573
EPHE 575
STATISTICS
LECTURE
>
INTRODUCTION TO R
DESCRIPTIVE STATISTICS
VISUALIZING DATA
Correlation and Regression
MULTIPLE REGRESSION
LOGIC OF NHST
T TESTS
ANOVA
POST HOC ANALYSIS
NON PARAMETRIC STATISTICS
FACTORIAL ANOVA
Repeated Measures ANOVA
Mixed ANOVA
MULTIVARIATE ANOVA
THE NEW STATISTICS
Bayesian Methods
ASSIGNMENTS
>
Introduction to R
>
INTRODUCTION TO R
LOADING DATA
DATA TABLES
Descriptive Statistics
>
Mean, Median, and Mode
VARIANCE
CONFIDENCE INTERVALS
SHORTCUTS
Visualizing Data
>
PLOTTING BASICS
BAR GRAPHS
BOXPLOTS
HISTOGRAMS
USING GGPLOT I
USING GGPLOT II
USING GGPLOT III
Correlation and Regression
>
CORRELATION
REGRESSION
MULTIPLE REGRESSION
>
MULTIPLE REGRESSION
Logic of NHST
>
Sample Size and Variance
DISTRIBUTIONS
TESTING DISTRIBUTIONS
T-Tests
>
Single Sample TTests
Paired Sample TTests
Independent Sample TTests
ANOVA
>
ANOVA ASSUMPTIONS
ANOVA
POST HOC ANALYSIS
>
POSTHOC ANALYSIS
NON PARAMETRIC STATISTICS
>
WILCOXON TEST
WILCOXON SIGNED TEST
MULTIPLE GROUPS
FACTORIAL ANOVA
REPEATED MEASURES ANOVA
>
RM ANOVA
TREND ANALYSIS
MIXED ANOVA
MULTIVARIATE ANOVA
THE NEW STATISTICS
BAYESIAN TTESTS
RESOURCES
R TIPS
Directed Studies
Advanced Topics in Motor Control A
Advanced Topics in Motor Control B
An Introduction to EEG
Advanced EEG and ERP Methods
Neural Correlates of Human Reward Processing
Independent Research Project
MATLAB
THE BASICS
>
Hello World
BASIC MATHEMATICS
VARIABLES
Matrices
Writing Scripts
PATHS AND DIRECTORIES
USER INPUT
FOR LOOPS
WHILE LOOPS
IF STATEMENTS
RANDOM NUMBERS
STATISTICS
>
LOADING DATA
DESCRIPTIVE STATISTICS
MAKING FUNCTIONS
BAR GRAPHS
LINE GRAPHS
TTESTS
EXPERIMENTS: THE BASICS
>
DRAWING A CIRCLE
DRAWING MULTIPLE OBJECTS
DRAWING TEXT
DRAWING AN IMAGE
PLAYING A TONE
KEYBOARD INPUT
BUILDING A TRIAL
BUILDING TRIALS
NESTED LOOPS
RIGHT OR WRONG
SAVING DATA
EXPERIMENTS: ADVANCED
>
STROOP
N BACK
Oddball
Animation
VIDEO
EEG and ERP Analysis
>
Filtering Data
Referencing Data
ERP Analysis
FFT Analysis
RESOURCES
EXCEL
HOW TO READ A RESEARCH PAPER
HOW TO WRITE A RESEARCH PAPER
LAB
Workshops
Calgary EEG Workshop 2018
EPHE 245 MOTOR LEARNING
Course Outline
READINGS
ADDITIONAL MATERIALS
LABORATORY
PRACTICUM
NEUROSCIENCE
NEUROSCIENCE 100
>
NEURO 100 INTRODUCTION
NEURO 101 ADVANCED
NEURO 102 AGING
NEURO 103 MEMORY
NEURO 104 DECISION MAKING
NEURO 105 LEARNING
NEURO 500
>
Introduction
1. Motor and Sensory Neurons
2. Reflexes
3. Postural Control
4. Goal Directed Action
5. Online Control
6. Forward and Inverse Models
EXAM ONE
7. PRIMARY VISUAL CORTEX
8. THE DORSAL VISUAL STREAM
9. THE VENTRAL VISUAL STREAM
10. SOMATOSENSATION
11 ATTENTION
EXAM TWO
6. MEMORY
7. EXECUTIVE CONTROL
8. LEARNING
9. DECISION MAKING
10. SOMATOSENSATION
KINESIOLOGY
EPHE 245
>
COURSE READINGS
ADDITIONAL MATERIALS
LABORATORY
PRACTICUM
EPHE 380
>
COURSE INFORMATION
COURSE READINGS
In Class Labs
LAB
>
LAB OVERVIEW
Lab Schedule
How To Write A Research Paper
RESEARCH PROJECT
POSTER PRESENTATION
EPHE 487 / 591
EPHE 573
EPHE 575
STATISTICS
LECTURE
>
INTRODUCTION TO R
DESCRIPTIVE STATISTICS
VISUALIZING DATA
Correlation and Regression
MULTIPLE REGRESSION
LOGIC OF NHST
T TESTS
ANOVA
POST HOC ANALYSIS
NON PARAMETRIC STATISTICS
FACTORIAL ANOVA
Repeated Measures ANOVA
Mixed ANOVA
MULTIVARIATE ANOVA
THE NEW STATISTICS
Bayesian Methods
ASSIGNMENTS
>
Introduction to R
>
INTRODUCTION TO R
LOADING DATA
DATA TABLES
Descriptive Statistics
>
Mean, Median, and Mode
VARIANCE
CONFIDENCE INTERVALS
SHORTCUTS
Visualizing Data
>
PLOTTING BASICS
BAR GRAPHS
BOXPLOTS
HISTOGRAMS
USING GGPLOT I
USING GGPLOT II
USING GGPLOT III
Correlation and Regression
>
CORRELATION
REGRESSION
MULTIPLE REGRESSION
>
MULTIPLE REGRESSION
Logic of NHST
>
Sample Size and Variance
DISTRIBUTIONS
TESTING DISTRIBUTIONS
T-Tests
>
Single Sample TTests
Paired Sample TTests
Independent Sample TTests
ANOVA
>
ANOVA ASSUMPTIONS
ANOVA
POST HOC ANALYSIS
>
POSTHOC ANALYSIS
NON PARAMETRIC STATISTICS
>
WILCOXON TEST
WILCOXON SIGNED TEST
MULTIPLE GROUPS
FACTORIAL ANOVA
REPEATED MEASURES ANOVA
>
RM ANOVA
TREND ANALYSIS
MIXED ANOVA
MULTIVARIATE ANOVA
THE NEW STATISTICS
BAYESIAN TTESTS
RESOURCES
R TIPS
Directed Studies
Advanced Topics in Motor Control A
Advanced Topics in Motor Control B
An Introduction to EEG
Advanced EEG and ERP Methods
Neural Correlates of Human Reward Processing
Independent Research Project
MATLAB
THE BASICS
>
Hello World
BASIC MATHEMATICS
VARIABLES
Matrices
Writing Scripts
PATHS AND DIRECTORIES
USER INPUT
FOR LOOPS
WHILE LOOPS
IF STATEMENTS
RANDOM NUMBERS
STATISTICS
>
LOADING DATA
DESCRIPTIVE STATISTICS
MAKING FUNCTIONS
BAR GRAPHS
LINE GRAPHS
TTESTS
EXPERIMENTS: THE BASICS
>
DRAWING A CIRCLE
DRAWING MULTIPLE OBJECTS
DRAWING TEXT
DRAWING AN IMAGE
PLAYING A TONE
KEYBOARD INPUT
BUILDING A TRIAL
BUILDING TRIALS
NESTED LOOPS
RIGHT OR WRONG
SAVING DATA
EXPERIMENTS: ADVANCED
>
STROOP
N BACK
Oddball
Animation
VIDEO
EEG and ERP Analysis
>
Filtering Data
Referencing Data
ERP Analysis
FFT Analysis
RESOURCES
EXCEL
HOW TO READ A RESEARCH PAPER
HOW TO WRITE A RESEARCH PAPER
LAB
Workshops
Calgary EEG Workshop 2018