Upcoming Lab Teaching
posted on January 1, 2021

Upcoming lab teachings

Every Tuesday, 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 listserve for announcements: https://groups.google.com/forum/#!forum/kording-lab-teachings

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    
Oct. 12 Jordan Matelsky [Tentative] “Ten things you wanted to know about coffee but were too caffeinated to ask”
Oct. 19 Nidhi Role of the cerebellum in cognition
Oct. 26 Felipe SOTA in Animal Pose Estimation
Nov. 2 Richard (tentative) fun with numerical differntiation and integration tricks
Nov. 9 Tony TBD (maybe heterogeneous treatment effects?)
Nov. 16    
Nov. 23    
Nov. 30    
Dec. 7    
Dec. 14    
Dec. 21    

Call for topics

Please list below, topics you would like to learn more about (you may share your name or not, up to you):

hippocampal computations (Nidhi), neural population doctrine (Nidhi), neural odes (Ilenna)

Old lab teaching topics

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