Article

Hardware CPG Model That Generates Time Series Neural Signal Patterns for Controlling Human Walking and Running

2022-12-29

Abstract excerpt

A hardware CPG model for biped gait control using pulse-type hardware neural networks(P-HNNs) composed of analog electronic circuits to generate time-series neural signal patterns for controlling human walking and running is reported. Human walking and running are controlled by central pattern generators located in a spinal cord. Apart from this spinal system, gait and gait speed is known to be changed by a signal...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 92f807d1-65bd-5756-a5fd-0131c2714068
DOI: 10.21203/rs.3.rs-2406912/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Hardware CPG Model That Generates Time Series Neural Signal Patterns for Controlling Human Walking and RunningDOI 10.21203/rs.3.rs-2406912/v1Read

Regulation and Rehabilitation of Hindlimb Gait Based on CPG in Rats with Spinal Cord InjurySemantic proximity Read

Investigating the roles of reflexes and central pattern generators in the control and modulation of human locomotion using a physiologically plausible neuromechanical modelSemantic proximity Read

Sensory modulation of gait characteristics in human locomotion: a neuromusculoskeletal modeling studySemantic proximity Read

A simple network of proprioceptive reflexes can produce a variety of bipedal gaitsSemantic proximity Read

Neural signals encoded by specific frequencies of closed-loop electrical stimulation structurally and functionally reconstruct spinal sensorimotor circuits after spinal cord injurySemantic proximity Read

Unified comparison of spinal locomotion control architectures in neuromechanical simulationsSemantic proximity Read

A physiologically inspired hybrid CPG/Reflex controller for cycling simulations that generalizes to walkingSemantic proximity Read

Towards an Understanding of Control of Complex Rhythmical ‘Wavelike’ Coordination in HumansSemantic proximity Read

A simple CPG-based model to generate human hip moment pattern in walking by generating stiffness and equilibrium point trajectoriesSemantic proximity Read

High-level motor planning allows flexible walking at different gait patterns in a neuromechanical modelSemantic proximity Read

Firing behavior of single motor neurons of the tibialis anterior in human walking as non-invasively revealed by HDsEMG decompositionSemantic proximity Read

Functional neural network for decision processing, a racing network of programmable neurons with fuzzy logic where the target operating model relies on the network itselfSemantic proximity Read