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Electrical and Computer Engineering Department

EE 486 Syllabus - Spring 2018

Lesson No.
Reading
Topics
Assignment
Week 1
(08 JAN)
1 BCI 1-3 Introduction to Neuroengineering HW 1
2 ISL 9-12; 15-29 Introduction to Statistical Learning
3 BCI 18-28 Neural Data Analysis Practicum: Introduction to Neurophysiological Data
Week 2
(15 JAN)
-- -- HOLIDAY — MARTIN LUTHER KING JR. DAY
4 ISL 29-42 Assessing Model Accuracy
5 Spotlight reading 1 BMI Spotlight: Motor Prosthetic Control
Week 3
(22 JAN)
6 BCI 13-17
CR 1-2; 4-9
Basic Neuroscience: The Brain and Behavior HW 2
7 BCI 7-13
CR 17-34
Basic Neuroscience: The Neuron
8 Reading Neural Data Analysis Practicum: Feature Extraction
Week 4
(29 JAN)
9 ISL 59-71
Linear Regression: Single-input
10 ISL 71-82 Linear Regression: Multiple-input
11 Spotlight reading 2 BMI Spotlight: Cochlear Implants
Week 5
(05 FEB)
12 CR 36-46 Basic Neuroscience: Membrane Potential HW 3
13 CR 58-68 Basic Neuroscience: The Action Potential
14 BCI 87-89; 109-118 Neural Data Analysis Practicum: Motor Prediction
Week 6
(12 FEB)
15 -- Exam 1 Review
16 -- EXAM 1
17 Spotlight reading 3 BMI Spotlight: Retinal Prostheses
Week 7
(19 FEB)
-- -- HOLIDAY — WASHINGTON'S BIRTHDAY
18 ISL 127-144 Classification: Logistic Regression, Linear Discriminant Analysis HW 4
19 -- Neural Data Analysis Practicum: Neural Decoding: Visual Stimuli
Week 8
(26 FEB)
20 ISL 149-154 Classification: Quadratic Discriminant Analysis, Comparing Classifiers
21 CR 83-93 Basic Neuroscience: Synaptic Transmission
22 Spotlight reading 4 BMI Spotlight: Functional Electrical Stimulation
Week 9
(05 MAR)
23 CR 96-97; 113-114 Basic Neuroscience: Synaptic Integration HW 5
24 ISL 144-149; 175-186 Performance Evaluation: Cross-validation, ROC curves
25 -- Neural Data Analysis Practicum: Classifying Local Field Potential Oscillations
Week 10
(12 MAR)
-- -- SPRING BREAK
-- -- SPRING BREAK
-- -- SPRING BREAK
Week 11
(19 MAR)
26 ISL 187-190; 195-197 Performance Evaluation: The Bootstrap
27 TN 8-34 (skim) Spike-Train Analysis: Firing Rates and Spike Statistics
28 Spotlight reading 5 BMI Spotlight: Deep Brain Stimulation
Week 12
(26 MAR )
29 BCI 26-28; 54-56; 63-66 EEG Noise and Artifact Reduction HW 6
30 ISL 203-214 Model Selection: Feature Subset Selection
31 -- Neural Data Analysis Practicum: P300 Speller
Week 13
(02 APR)
32 -- Exam 2 Review
33 -- EXAM 2
34 Spotlight reading 6 BMI Spotlight: P300-based Communication
Week 14
(09 APR)
35 ISL 214-228 Model Selection: Shrinkage Methods, Handling High-Dimensional Data HW 7
36 BCI 56-60
ISL 374-386
Unsupervised Learning: Principal Components Analysis
37 -- Neural Data Analysis Practicum: Spike Sorting
Week 15
(16 APR)
38 ISL 386-390; 396-401 Unsupervised Learning: K-means/K-medians Clustering
39 ISL 303-316 Tree-Based Learning: Regression and Classification Trees
40 Spotlight reading 7 BMI Spotlight: Anti-epileptic Devices
Week 16
(23 APR)
41 ISL 316-324 Tree-Based Learning: Bagging, Random Forests, Boosting FINAL PROJECT
-- -- CAPSTONE DAY (NO CLASS)
42 ISL 337-349 Support Vector Machines: Maximum Margin and Support Vector Classifiers
Week 17
(30 APR)
43 ISL 349-359 Support Vector Machines: Nonlinear Decision Boundaries; Course Evals
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