Upcoming Lab Teaching
posted on January 1, 2021
Upcoming lab teachings
Every Friday at 2pm, we get together (over pizza, sometimes) for lab teachings.
On a rotating basis, each member of the lab speaks and teaches about something they know.
Anything, really. Relevant and interesting topics, good skills to know, nice Python packages,
neuroscientific princples, new findings and literature reviews… whatever!
Get on the listserv for announcements: https://groups.google.com/forum/#!forum/kording-lab-teachings
Call for topics
Please list below, topics you would like to learn more about (you may share your name or not, up to you):
- cloud computing
- current state of deep reinforcement learning, control, robotics, and all that
Spring 2023
Date |
Name |
Topic |
|
Jan. 13 |
Konrad |
lab philosophy |
|
Jan. 20 |
Joey VG |
When does a neuron represent True |
|
Jan. 27 |
David B |
Job talk |
|
Feb. 10 |
Richard |
Job talk |
|
Feb. 17 |
Tony |
“Variations on an Instrument” OR “Interference” |
|
Feb. 24 |
misc |
|
|
Mar. 3 |
misc |
|
|
Mar. 10 |
Ilenna |
COSYNE talk |
# spring break |
Mar. 17 |
Konrad |
Landscape of DL-inspired thinking in neuro |
|
Mar. 24 |
Sebastien Tremblay |
Non-necessary neural activity |
|
Mar. 31 |
Chris |
Metalearning plasticity rules with gradients |
|
Apr. 7 |
misc |
|
|
Apr. 14 |
misc |
misc |
|
Apr. 21 |
Ad Hoc with Jordan Matelsky |
The architectures and math behind Large Language Models |
|
Apr. 28 |
Melanie |
3d pose |
|
May 5 |
Xinyue |
Intro to Causal Discovery |
|
May 12 |
misc |
|
|
May 19 |
everyone |
no teaching - lab reredesign day! |
|
Fall 2022
Date |
Name |
Topic |
Sep. 16 |
Ilenna Jones |
sequential Monte Carlo / Particle Filtering (and other things I learned at summer school) |
Sep. 23 |
Justin Brantley |
What I learned about writing/figures after getting my a$$ kicked by Brett Mensh |
Sep. 30 |
Joey R |
Decoding & Optimizing Episodic Memory |
Oct. 7 |
David Barack |
The New Central Executive |
Oct. 14 |
Gene |
Gradio and Streamlit for making online interfaces to your models |
Oct. 21 |
n/a |
time for 1:1s |
Oct. 28 |
Jordan |
Docker 101 for reproducible science |
Nov. 4 |
Felipe |
Building a face ID app for monkeys |
Nov. 11 |
Richard |
Neural networks and kernels (NTK and all that jazz) |
Nov. 18 |
Tony |
Influence functions |
Dec. 2 |
n/a |
time for 1:1s |
Dec. 9 |
Konrad |
ChatGPT |
Dec. 16 |
Ben Baker |
Aristotle’s De Anima |
Spring 2022
Date |
Name |
Topic |
Jan. 18 |
Ben |
Review of some papers on Dance~Intelligence |
Jan. 25 |
Ari |
Kalman Filtering |
Feb. 1 |
Richard |
My (pet) theory of what computation is |
Feb. 8 |
Sébastien Tremblay |
Non-necessary computations in the primate brain |
Feb. 15 |
Konrad, Ilenna, Jordan |
Abstract writing |
Feb. 22 |
Tony |
Heterogeneous treatment effects |
Mar. 1 |
Nachi Stern |
The Physical Effects of Learning |
Mar. 8 |
|
|
Mar. 15 |
Jordan |
Reproducible science with git, Jupyter, and LaTeX |
Mar. 22 |
* |
Lab Research Talks |
Mar. 29 |
|
|
Apr. 5 |
|
|
Apr. 12 |
|
|
Apr. 19 |
Xiaowei Jiang |
Biomarkers of EEG/fNIRS |
Apr. 26 |
Felipe |
Candidacy Talk: Neural Basis of Social Grooming in Primates |
May. 03 |
David Barack |
Basis of Foraging |
May. 10 |
Joey |
Compilers as linking hypotheses |
Old lab teaching topics
Fall 2021
Date |
Name |
Topic |
Sep. 21 |
Justin |
‘Reward is enough, Silver et al. 2021’ paper presentation |
Sep. 28 |
Ilenna |
‘Parallel and Recurrent Cascade Models, Harkin et al 2021’ paper presentation |
Oct. 5 |
Ben |
Discussion + Q & A on Ben’s CNI seminar on Representations in Neuroscience |
Oct. 12 |
Jordan Matelsky |
“A web-app in an hour: Frontend, backend, and rolling to production.” (Hands-on coding) |
Oct. 19 |
Nidhi |
Role of the cerebellum in cognition |
Oct. 26 |
Felipe |
Behavioral Diversity for Cognition |
Nov. 2 |
Richard |
(tentative) fun with numerical differentiation and integration tricks |
Nov. 9 |
Tony |
Causal inference through the DoWhy package |
Nov. 16 |
Compute Czars |
“Hackathon” for maintaining lab servers |
Nov. 23 |
|
|
Nov. 30 |
|
|
Dec. 7 |
Saeed Salehi |
Julia programming language |
Dec. 14 |
* |
Lab Research Presentations |
Dec. 21 |
|
|
Summer 2021
Date |
Name |
Topic |
Jun. 11 |
everyone! |
each share a cool thing we’ve found / are working on |
Jun. 18 |
Mark Badger |
Birds of a feather flock together in 3D shape space |
Jun. 25 |
|
|
Jul. 2 |
canceled |
|
Jul. 9 |
everyone! |
each share a cool thing we’ve found / are working on |
Jul. 16 |
Tony |
Mini teaching: sensitivity analysis |
Jul. 23 |
canceled |
|
Jul. 30 |
Richard |
Fancy regression with structured data and measurement error |
Aug. 6 |
Ben |
TBD |
Aug. 13 |
Gene |
TBD |
Aug. 20 |
|
|
Aug. 27 |
|
|
Fall semester begins during the week of Aug 30
Spring 2021
Date |
Name |
Topic |
Feb. 12 |
|
|
Feb. 19 |
|
|
Feb. 26 |
Tony |
Asymptotic theory towards double ML |
Mar. 5 |
Richard |
MCMC sampling |
Mar. 12 |
|
|
Mar. 19 |
Roozbeh |
AlphaFold |
Mar. 26 |
Ilenna |
The New Problem of Induction |
Apr. 2 |
|
|
Apr. 9 |
Ben B. |
A Philosophical Understanding of Representations for Neruoscience |
Apr. 16 |
Joshua Glaser |
Interpretable Machine Learning for Neuroscience |
Apr. 23 |
Richard |
Kernels and Gaussian Processes |
Apr. 30 |
Ilenna |
Normal, Extraordinary, and Revolutionary Science |
May. 7 |
Lab break |
|
May. 14 |
Lab break |
|
May. 21 |
Lab break |
|
May. 28 |
Lab break |
|
Previous lab teaching