Modulating reflexes enables speed control in simulated human walking and running

Human locomotion is characterized by remarkable versatility, enabling smooth speed modulation, acceleration, deceleration, and transitions between gaits. This versatility is thought to emerge from interactions between the musculoskeletal system, spinal circuits—including reflexes and central pattern generators—and supraspinal control. The relative contributions of these components remain a subject of ongoing debate. In this study, we explore the potential role of reflex modulation in achieving the observed flexibility of human locomotion. Using a neuromusculoskeletal model controlled by reflexes between agonist/antagonist muscle groups, we show that a wide range of walking and running speeds can be generated using reflex modulation. We devise a modulation strategy of key reflexes, which allows for setting a desired target speed before simulation (offline modulation) as well as dynamically adjusting speed during run-time (online modulation). Furthermore, we can demonstrate that switching between parameter sets allows for smooth transitions between walking and running. This study aims to understand the capabilities of reflexes as a core component of locomotor control and therefore isolates reflexes from other components of the spinal cord. While the study, thus, does not aim to fully replicate human motor control, it demonstrates that reflex modulation can account for speed control in walking and running as well as gait transitions, highlighting the possible contributions of reflexes to versatile locomotion.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-04-21
DOI
https://doi.org/10.1038/s41598-026-48509-z
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modulating reflexes enables speed control in simulated human walking and running

Elsa K. Bunz, Syn Schmitt, Alice J. Bruel, Auke J. Ijspeert
Scientific Reports
Balance, Gait, and Falls Prevention
article

Modulating reflexes enables speed control in simulated human walking and running

Elsa K. Bunz, Syn Schmitt, Alice J. Bruel, Auke J. Ijspeert
article en

Abstract

Human locomotion is characterized by remarkable versatility, enabling smooth speed modulation, acceleration, deceleration, and transitions between gaits. This versatility is thought to emerge from interactions between the musculoskeletal system, spinal circuits—including reflexes and central pattern generators—and supraspinal control. The relative contributions of these components remain a subject of ongoing debate. In this study, we explore the potential role of reflex modulation in achieving the observed flexibility of human locomotion. Using a neuromusculoskeletal model controlled by reflexes between agonist/antagonist muscle groups, we show that a wide range of walking and running speeds can be generated using reflex modulation. We devise a modulation strategy of key reflexes, which allows for setting a desired target speed before simulation (offline modulation) as well as dynamically adjusting speed during run-time (online modulation). Furthermore, we can demonstrate that switching between parameter sets allows for smooth transitions between walking and running. This study aims to understand the capabilities of reflexes as a core component of locomotor control and therefore isolates reflexes from other components of the spinal cord. While the study, thus, does not aim to fully replicate human motor control, it demonstrates that reflex modulation can account for speed control in walking and running as well as gait transitions, highlighting the possible contributions of reflexes to versatile locomotion.

Scientific ReportsVol. 16(1)
University of Stuttgart (DE), École Polytechnique Fédérale de Lausanne (CH)
International Max Planck Research School for Environmental, Cellular and Molecular Microbiology, Universität Stuttgart, Singapore Institute of Manufacturing Technology
Openalex Percentile: Top 17%
Balance, Gait, and Falls Prevention
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.