Date
| Topic |
Reading / Handouts |
Slides (pdf) |
HW |
|
Th 9.02 |
Course introduction and announcements |
syllabus.pdf
|
slides01.pdf
|
|
Tu 9.07 |
Intro to linear algebra: vectors, norm, and inner
product
|
|
slides02.pdf
|
hw0_neu314_Q.ipynb
hw0_neu314_A.ipynb
(due date: none)
|
Th 9.09 |
Linear combination, vector spaces, & matrices
| |
slides03.pdf
| linear algebra basics hw1.ipynb
(due 9/21, 1:30pm)
|
Tu 9.14 |
Application: trichromactic color vision
| |
slides04.pdf
|
|
Th 9.16 |
Matrix multiplication, outer product, transpose, inverse
| |
slides05.pdf
| color vision & linear systems hw2.ipynb
(due 10/05, 1:30pm) |
Tu 9.21 |
Row / column / null spaces; Linear Systems
| |
slides06.pdf
| |
Th 9.23 |
no in-person class
| |
| |
Tu 9.28 |
Application: null spaces in the brain
| Kaufman et
al 2014 |
slides07.pdf
| row & null spaces hw3.ipynb
(due 10/12, 1:30pm) |
Th 9.30 |
Singular Value Decomposition (SVD)
| notes_SVD.pdf
| slides08.pdf
| |
Tu 10.05 |
SVD applications
| |
slides09.pdf
| |
Th 10.07 |
Low-rank matrix approximation ( recorded; no in-person class )
| |
slides10.pdf
| SVD
hw4.ipynb
(due 11/02, 1:30pm) |
Tu 10.12 |
Principal Components Analysis (PCA)
| notes_PCA.pdf
| slides11.pdf
|
|
Th 10.14 |
Least Squares Regression
| notes_LSregression.pdf
| slides12.pdf
| |
Tu 10.19 |
fall break
| |
|
|
Th 10.21 |
fall break
| |
|
|
Tu 10.26 |
Intro to Probability |
|
slides13.pdf
| PCA & regression hw5.ipynb
(due 11/16, 1:30pm) |
Th 10.28 |
Bayes' rule
| |
slides14.pdf
| |
Tu 11.02 |
Independence
| |
slides15.pdf
| |
Th 11.04 |
Correlations and Gaussian distributions
| |
slides16.pdf
| |
Tu 11.09 |
Information theory I: entropy
| |
slides17.pdf
| Probability
hw6.ipynb
(due 11/23, 1:30pm) |
Th 11.11 |
Information theory II: mutual information, KL, and
efficient coding
| |
slides18.pdf
| |
Tu 11.16 |
Estimation
| |
slides19.pdf
| |
Th 11.18 |
Maximum Likelihood for spike count models
| |
slides20.pdf
| |
Tu 11.23 |
GLMs & Logistic regression
| |
slides21.pdf
| |
Th 11.25 |
Thanksgiving
| |
|
|
Tu 11.30 |
Intro to Dynamics
| |
slides22.pdf
| Info Theory & GLMs
hw7.ipynb
(due: 12/14) |
Th 12.02 |
Multi-dimensional dynamics
| notes_Dynamics.pdf |
slides23.pdf
| |