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TGDA+Neuroscience Course

Neuroscience figures
January 15 - April 15, 2020
8:00AM - 4:00PM
MBI Auditorium, Jennings Hall 355

Date Range
Add to Calendar 2020-01-15 08:00:00 2020-04-15 16:00:00 TGDA+Neuroscience Course Course outline •Day/time: Wednesdays at 2pm. •First day of classes: January 15, 2020. No class March 4th or March 11th. •Duration: 1hr. - Number of weeks: 12 (last class April 15th). •Summer experience dates: May 26-29, 2020. Week 1. Instructor: Facundo Memoli - Introduction to Topological Data Analysis. Week 2. Instructor: Yusu Wang - Simplical Homology (Section 1: Simplical Homology). Week 3. Instructor: Yusu Wang - Simplical Homology (Section 2: Matrix view and computation). Week 4. Instructor: Yusu Wang - Persistent Homology part 1 Week 5. Instructor: Yusu Wang - Persistent Homology part 2 Week 6. Instructor: Yusu Wang - More on Persistent Homology Week 7. Instructor: Facundo Memoli - Stability of Persistent Homology Week 8. Instructor: Sebastian Kurtek - Statistical Analysis through TDA Tools Week 9. Instructor: Facundo Memoli - Point Clouds Week 10. Instructor: Facundo Memoli - Analysis of TOSCA data Week 11. Instructor: Carina Curto - Using Persistent Homology to detect Geometric Structure in Neural Correlations (Topological Analysis of Symemetric Matrices). Week 12. Instructor: Yune S. Lee - The Overview of fMRI MBI Auditorium, Jennings Hall 355 Mathematical Biosciences Institute mbi-webmaster@osu.edu America/New_York public

Course outline

•Day/time: Wednesdays at 2pm.
•First day of classes: January 15, 2020. No class March 4th or March 11th.
•Duration: 1hr. - Number of weeks: 12 (last class April 15th).
•Summer experience dates: May 26-29, 2020.

Week 1. Instructor: Facundo Memoli - Introduction to Topological Data Analysis.

Week 2. Instructor: Yusu Wang - Simplical Homology (Section 1: Simplical Homology).

Week 3. Instructor: Yusu Wang - Simplical Homology (Section 2: Matrix view and computation).

Week 4. Instructor: Yusu Wang - Persistent Homology part 1

Week 5. Instructor: Yusu Wang - Persistent Homology part 2

Week 6. Instructor: Yusu Wang - More on Persistent Homology

Week 7. Instructor: Facundo Memoli - Stability of Persistent Homology

Week 8. Instructor: Sebastian Kurtek - Statistical Analysis through TDA Tools

Week 9. Instructor: Facundo Memoli - Point Clouds

Week 10. Instructor: Facundo Memoli - Analysis of TOSCA data

Week 11. Instructor: Carina Curto - Using Persistent Homology to detect Geometric Structure in Neural Correlations (Topological Analysis of Symemetric Matrices).

Week 12. Instructor: Yune S. Lee - The Overview of fMRI

Organizers

Juan Arratia
Student Research Development Center
Universidad Metropolitana
juan.arratia@gmail.com

Janet Best
Mathematical Biosciences Institute
The Ohio State University
jbest@math.ohio-state.edu

Laura Kubatko
Department of Statistics
The Ohio State University
kubatko.2@osu.edu

Carina Curto
Department of Mathematics
Pennsylvania State University
ccurto@psu.edu

Tamal K. Dey
Department of Computer Science and Engineering
The Ohio State University
dey.8@osu.edu

Craig Jackson
Mathematics and Computer Science Department
Ohio Wesleyan University
chjackso@owu.edu

Matthew Kahle
Department of Mathematics
The Ohio State University
kahle.70@osu.edu

Sebastian Kurtek
Department of Statistics
The Ohio State University
kurtek.1@stat.osu.edu

Alicia Prieto Langarica
Department of Mathematics and Statistics
Youngstown State University
aprietolangarica@ysu.edu

Erin Leatherman
Department of Mathematics & Statistics
Kenyon College
leatherman1@kenyon.edu

Yune Lee
Department of Speech and Hearing Science
The Ohio State University
lee.7966@osu.edu

Facundo Memoli
Department of Mathematics
The Ohio State University
memoli@math.osu.edu

Tom Needham
Department of Mathematics
The Ohio State University
needham.71@osu.edu

Pamela Pyzza
Department of Mathematics and Computer Science
Ohio Wesleyan University
pbpyzza@owu.edu

Karen Rios Soto
Department of Mathematics
University of Puerto Rico
karen.rios3@upr.edu

Stephen Rodabaugh
College of Science, Technology, Engineering, and Mathematics
Youngstown State University
serodabaugh@ysu.edu

David Sivakoff
Departments of Statistics and Mathematics
The Ohio State University
dsivakoff@stat.osu.edu

Jamal Tartir
Department of Mathematics
Youngstown State University
tartir@ysu.edu

Yusu Wang
Department of Computer Science and Engineering
The Ohio State University
yusu@cse.ohio-state.edu

Abdul-Aziz Yakubu
Department of Mathematics
Howard University
ayakubu@Howard.edu

Catherine Calder
Department of Statistics and Data Sciences
The University of Texas at Austin
calder@austin.utexas.edu

 

 


 

 

 

National Science Foundation Logo

This workshop is supported by the National Science Foundation Division of Mathematical Sciences (DMS) and Division of Computing and Communication Foundations (CCF).

 

 

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