Every Friday, 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!
Fall 2018 topics
|Nov. 2||Titipat||AllenNLP library and a little bit of Pytorch|
|Nov. 9||Roozbeh||Multiple Hypothesis Testing|
|Nov. 30||Brianna||T.B.D. (maybe decoding/electrophys related)|
|Dec. 3||Ari||Independent Component Analysis|
Requests and suggestions
Recently taught topics
For inspiration. Add ones you’ve done!!
|Sept. 28:||Ilenna||Capacity of Neural Networks|
|Oct. 5:||Tung Pham||GANs for EEG|
|Oct. 12:||Ben||GPUs – beneath the heatsink Slides|
|Oct. 19:||Rachit||Graph Convolution Networks|
|Oct. 26:||Tony||Docker for science|