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2025 Spring - Neural Control of Real-World Human Movement

Instructor: Jonathan Samir Matthis

Course Dates: 06 Jan 2025 - 15 April 2025 Course Time: Mon/Weds 2:50-4:30 Course Location: (on canvas)

Course Materials and Resources

Schedule Overview

Date (Monday)WeekLecture (Mon)Lab (Weds)Assignment (Due 11:59pm Sunday)
06 Jan 2025Week 1Intro/SetupHMN Overview0 - Introduction /chat
13 Jan 2025Week 2Library Resources PresentationTopic Planning1 - Choosing a Topic
20 Jan 2025Week 3MLK DAYGroup thing w/ botPoster Proposal #1 Due
27 Jan 2025Week 4Intro to MeasurementFreeMoCap In Class RecNo assignment
03 Feb 2025Week 5Look at Balance DataLook at Jumping dataNo assignment
10 Feb 2025Week 6Scientific Psters and Spinal CPGSPaper state space activityNo assignment
17 Feb 2025Week 7PRESIDENT DAYPoster Outline activityNo assignment
24 Feb 2025Week 8Vision and EyeballsAI/Bot check-inNo assignmnet
03 Mar 2025Week 9SPRING BREAKSPRING BREAKSPRING BREAK
10 Mar 2025Week 10Eye tracking DemoBees, Ants, & DragonfliesMidterm chat & Poster Outline Due
17 Mar 2025Week 11Eye Tracking data? Gap filling (Neurons)Full Poster Draft Due!
24 Mar 2025Week 12? Poster Prep (UPLOAD)EvolutionUpload Poster by TUES MARCH 25
31 Mar 2025Week 13? ans & ptsd? Poster practiceNo assignment
07 Apr 2025Week 14POSTER PRESENTATION DAY 1POSTER PRESENTATION DAY 2Poster Presentation!
14 Apr 2025Week 15My dumb bsWrap up/RetrospectiveGoodbye Outro /chat

Course Description

Students will explore the neural basis of natural human behavior in real-world contexts (e.g., [[sports]], [[dance]], or [[everyday-activities]]) by investigating [[biomechanics]] and [[neuroscience]] of [[human-movement]]. The course will cover [[philosophical]], [[technological]], and [[scientific]] aspects related to the study of [[natural-behavior]] while emphasizing hands-on, project-based learning. Students will use [[free-open-source-software]], and [[artificial-intelligence]],[[machine-learning]] and [[computer-vision]] driven tools and methods to record human movement in unconstrained environments.

The course promotes interdisciplinary collaboration and introduces modern techniques for decentralized [[project-management]], [[AI-assisted-research-techniques]], and [[Python]]-based programming (No prior programming experience is required). Students will receive training in the use of AI technology for project management and research conduct, including [[literature-review]], [[data-analysis]], [[data-visualization]], and [[presentation-of-results]]. Through experiential learning, students will develop valuable skills in planning and executing technology-driven research projects while examining the impact of structural inequities on scientific inquiry.

Course Objectives

Learning Outcomes

Design and conduct a research project

Assignments

Poster Assignment

At the end of the semester, you will present (individually or with a group, depending on your preference) a poster at a Symposium event designed to mimic a poster presentation session at a scientific conference. This Symposium will be attended by all 10+ sections of Biol2299 - It’s super fun! Your poster assignment is the Big Assignment for this course, but don’t worry about it. You’ll be fine :)

Other Assignments

There will also be a number of relatively casual assignments throughout the semester that will be explained as they come up.

These assignments will be all be mechanical/checkboxy in nature, i.e. “Have a chat with the bot in #XYZ channel for at least n messages” or “Have at least X citations logged in your Zotero bibliography” etc.