Bi23-6: Methods in Neural Data Analysis

Instructor: Ann Kennedy
Office: BBB B101
Office hours: Tuesdays 5-7pm

Course syllabus
Links of interest

Welcome! This is the course homepage for Bi 23, a biology tutorial course on neural data analysis. Links to lecture notes and additional reading will be posted here ahead of each class.

Course Schedule

DatesTopicSlides and CodeAdditional Reading
1/18
1/25		 Preprocessing, loading, and browsing neural data; event-triggered analysis • Slides from 1/18
• Code: Matlab 		• Schwartz et al 2006
• Pillow and Simoncelli 2006
• Paninski 2003
2/1
2/8		 Generalized linear models of single neurons • Slides from 2/1
• Notebook from 2/8
• Code: Matlab | Jupyter 		• Pillow et al 2008
• Park et al 2014
2/15
2/22		 Decoding from neural populations Slides from 2/15
Slides from 2/22
Notebook from 2/15
Code: Jupyter		 • Santhanam et al 2006
• Kay et al 2008 | video
3/1
3/8		 Dimensionality reduction and latent variable models Slides from 3/1
Slides from 3/8
Code: Jupyter 		• Cunningham & Yu 2014
• Kato et al 2015
The data used in this course comes from CRCNS; specific datasets used can be downloaded here (must be connected to Caltech campus network or VPN).


Past Announcements

1/15/19   This course will meet on Fridays from 4-6pm in BBB room B101, starting this Friday. Please remember to bring your laptop to class!

1/9/19 Class meeting time and location will be announced on Monday. If you are interested in auditing this class and did not attend the organization meeting, please email me so I can add you to the mailing list.

There will be an Organizational Meeting for this course on Weds. Jan. 9th at 4pm in Kerckhoff B136. The meeting will determine when and where the course will meet during the semester, and will go over the planned structure of the course. Please attend if you are interested in taking or auditing the class.




Image credit: Jonathan Pillow