Graduate
| |
|
| Statistical modeling & analysis of neural data (NEU
560) |
|
fall
2020, spring 2018
|
|
|
Undergraduate
|
|
|
| Mathematical tools for neuroscience (NEU 314) |
|
fall 2021,
fall 2016,
spring 2016
|
| Sensation & Perception (PSY 345 / NEU 325) |
|
spring
2023,
spring
2022,
spring
2019,
fall
2017,
spring 2015
|
|
|
Tutorials
|
| Statistical models for neural data: from GLMs to latent
variables (slides) | |
Cosyne 2018
|
| Generalized linear models for cracking the neural code - 2016
SFN short course on data science (slides
and code)
| | SFN
2016
|
|
|
Summer Courses
|
Computational Neuroscience: Vision
Cold Spring Harbor
| |
2014, 2016, 2018 (co-organizer) |
Methods
in Computational Neuroscience (MCN)
Marine Biological Laboratory
(Woods Hole, MA) | | 2008-10, 2011-15, 2017-18 |
Neurotechnologies
for Analysis of Neural Dynamics (NAND)
Princeton University
| | 2015-17 |
Berkeley
course in mining and modeling of neuroscience data
Redwood
Center (Berkeley, CA) |
|
2011-13, 2017 |
Advanced
Course in Computational Neuroscience
Bernstein Center (Freiburg, Germany) |
|
2008, 2009, 2010 |
Okinawa
Computational Neuroscience Course
(Okinawa, Japan) |
|
2004, 2013 |
Summer
Institute in Cognitive Neuroscience
(Lake Tahoe, CA) |
|
2003 |
