2.183/2.184 Neural Control of Movement
Spring 2019
Instructor: Neville Hogan
TA: Daniel Pekka Poe
Lecture: TR1-2.30 (4-153)
Information:
Quantitative knowledge of human sensory-motor behavior is important in a growing number of engineering applications (medical rehabilitation technology, athletic and military equipment, human-robot interaction, vehicle performance, etc.) This subject presents a quantitative, model-based description of how biomechanical and neural factors interact in human sensory-motor behavior.
2.183J/9.34J (H-level graduate credit) meets with 2.184 (U credit). Graduate students will be expected to complete additional assignments.
Prerequisites: Knowledge of simple mechanical system dynamics
(i.e. ideal mass-spring-damper systems) and basic feedback control
analysis (e.g. Laplace and frequency domain representations).
Announcements
Term project presentations
Announced on 14 May 2019 11:35 a.m. by Neville Hogan
Term project presentation schedule
Thursday May 16
Rachel Bellisle, Seamus Lombardo, Allison PorterAnnounced on 09 May 2019 9:41 a.m. by Neville Hogan
Quiz solution posted
Announced on 02 May 2019 3:03 p.m. by Neville Hogan
Assignment 8 posted
Announced on 18 April 2019 2:50 p.m. by Neville Hogan
Pset 7 ready for pickup
Graded pset 7 is available in room 37-146Announced on 16 April 2019 4:56 p.m. by Daniel Pekka Poe