Devon Lantagne

Visiting Assistant Professor | Milwaukee School of Engineering

Milwaukee, WI, UNITED STATES

Devon Lantagne has 6+ years of teaching experience in embedded systems and biomedical instrumentation.

Education, Licensure and Certification (2)

Ph.D.: Biomedical Engineering, Marquette University & Medical College of Wisconsin, Milwaukee 2023

Ongoing

B.S.: Biomedical Engineering, Milwaukee School of Engineering 2016

Biography

Devon Lantagne is a dedicated educator and lifelong learner with 6+ years of teaching experience in embedded systems and biomedical instrumentation. His research has focused on human motor control and the use of subconscious memories to guide future movements. He has developed expertise in low-level embedded systems (assembly and C language), data processing in MATLAB, robotics, state machines, biomedical device design, signal processing, and linear and nonlinear modeling.

Areas of Expertise (7)

Engineering Education

Signal Processing

Embedded Systems

Biomedical Instrumentation

Biomedical Engineering

MATLAB

Human Motor Control

Accomplishments (3)

Outstanding Teaching Assistant in Biomedical Engineering (professional)

2021

Program Chairman’s Award (professional)

2019 Rocky Mountain Bioengineering Symposium and Great Lakes Biomedical Conference

Vincent R. Canino Outstanding Biomedical Engineer Senior Student Award

2016

Affiliations (4)

American Society for Engineering Education (ASEE)
Order of the Engineer
Institute of Electrical and Electronics Engineers (IEEE)
Biomedical Engineering Society (BMES)

Event and Speaking Appearances (5)

Memory use during implicit learning varies across sensory feedback conditions, but is not impacted by interposed self- assessments

Society for Neuroscience Washington, D.C.

Does motor memory usage change in concussed individuals performing a sensorimotor task?

Society for Neuroscience San Diego, CA

Assessing Balance and Motor-Memory Deficits After Concussion

Marquette University Forward Thinking Session Milwaukee, WI

Performance Suppression on Implicit Sensorimotor Adaptation

Society for Neuroscience Chicago, IL

Assessing Balance and Motor-Memory Deficits After Concussion

Marquette University Forward Thinking Session Milwaukee, WI

Selected Publications (2)

Contribution of implicit memory to adaptation of movement extent during reaching against unpredictable spring-like loads: insensitivity to intentional suppression of kinematic performance

Experimental Brain Research

Devon D Lantagne, Leigh Ann Mrotek, James B Hoelzle, Danny G Thomas, Robert A Scheidt

2023-07-28

We examined the extent to which intentionally underperforming a goal-directed reaching task impacts how memories of recent performance contribute to sensorimotor adaptation. Healthy human subjects performed computerized cognition testing and an assessment of sensorimotor adaptation, wherein they grasped the handle of a horizontal planar robot while making goal-directed out-and-back reaching movements. The robot exerted forces that resisted hand motion with a spring-like load that changed unpredictably between movements. The robotic test assessed how implicit and explicit memories of sensorimotor performance contribute to the compensation for the unpredictable changes in the hand-held load. After each movement, subjects were to recall and report how far the hand moved on the previous trial (peak extent of the out-and-back movement). Subjects performed the tests under two counter-balanced conditions: one where they performed with their best effort, and one where they intentionally sabotaged (i.e., suppressed) knowledge.

Contributions of implicit and explicit memories to sensorimotor adaptation of movement extent during goal-directed reaching

Experimental Brain Research

2021 We examined how implicit and explicit memories contribute to sensorimotor adaptation of movement extent during goal-directed reaching. Twenty subjects grasped the handle of a horizontal planar robot that rendered spring-like resistance to movement. Subjects made rapid "out-and-back" reaches to capture a remembered visual target at the point of maximal reach extent.