Locomotion control through embodied spiking oscillators

Abstract In this paper, a new piecewise linear (PWL) FitzHugh-Nagumo neural control unit for general passive actuators is presented. The PWL formulation enables unprecedented modulation of the main dynamics of the ion channels, allowing easy control of both the amplitude and period of the neuron spiking activity or the position and quality of the phase plane equilibria. Exploiting the similarities between the first-order recovery dynamics of the FitzHugh–Nagumo (FHN) model and general passive actuators, the substitution of the electrical neural recovery activity with the actuator dynamics, independently of the actuator specific nature, is presented. This realizes a novel embodied neural-motor unit. In the context of locomotion control through Central Pattern Generators, this unit introduces a number of advantages, such as reduced control order, easy state control of the actuator, modulation and adaptation capabilities. Theoretical analysis is accompanied to experimental results on the locomotion control of a robotic hand to demonstrate the effectiveness of the proposed architecture.

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Publication Details

Journal
Nonlinear Dynamics
Published
2025-08-31
DOI
https://doi.org/10.1007/s11071-025-11698-9
Citations
2
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
1.46

Funders

Controls
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article

Locomotion control through embodied spiking oscillators

Luca Patané, Paolo Arena, Alberto Motta
2 citations
Nonlinear Dynamics
Advanced Memory and Neural Computing
1.46
article

Locomotion control through embodied spiking oscillators

Luca Patané, Paolo Arena, Alberto Motta
article en
2 citations

Abstract

Abstract In this paper, a new piecewise linear (PWL) FitzHugh-Nagumo neural control unit for general passive actuators is presented. The PWL formulation enables unprecedented modulation of the main dynamics of the ion channels, allowing easy control of both the amplitude and period of the neuron spiking activity or the position and quality of the phase plane equilibria. Exploiting the similarities between the first-order recovery dynamics of the FitzHugh–Nagumo (FHN) model and general passive actuators, the substitution of the electrical neural recovery activity with the actuator dynamics, independently of the actuator specific nature, is presented. This realizes a novel embodied neural-motor unit. In the context of locomotion control through Central Pattern Generators, this unit introduces a number of advantages, such as reduced control order, easy state control of the actuator, modulation and adaptation capabilities. Theoretical analysis is accompanied to experimental results on the locomotion control of a robotic hand to demonstrate the effectiveness of the proposed architecture.

Nonlinear DynamicsVol. 113(22)
University of Messina (IT), University of Catania (IT)
Università di Catania
Openalex Percentile: Top 15%
Advanced Memory and Neural Computing
1.46
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