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Main Authors: Ahmed, Abdullah, Cameron, Maria, Palacios, Antonio, Qi, Hengyuan, Sahoo, Samir
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2602.12434
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author Ahmed, Abdullah
Cameron, Maria
Palacios, Antonio
Qi, Hengyuan
Sahoo, Samir
author_facet Ahmed, Abdullah
Cameron, Maria
Palacios, Antonio
Qi, Hengyuan
Sahoo, Samir
contents As the need for higher performance from biological and electronic sensors continues to outpace current technologies, new strategies for designing, developing, and implementing novel sensor systems are emerging. A recently introduced feedforward network-based approach can simultaneously enhance a signal while steering a radiating beam in radio frequency communication systems. Furthermore, the approach is also model-independent, thus making it suitable for other applications. In this work, we aim to understand the effects of inhomogeneities in feedforward arrays, which are inevitable in real-world implementations. We investigate a collection of two-cell feedforward networks composed of pitch-fork cells and Stuart-Landau oscillators and quantify the effects of parameter inhomogeneities using system reduction, analytical and computational bifurcation analyses, and a singularity theory approach. Contrary to common intuition, inhomogeneity in the excitation parameter can be exploited to enhance the network output growth rate. While frequency inhomogeneity in Stuart-Landau networks primarily has an adverse effect on signal amplification, phase locking persists over a surprisingly broad range of inhomogeneity.
format Preprint
id arxiv_https___arxiv_org_abs_2602_12434
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Effects of Heterogeneity in Two-Cell Feedforward Networks
Ahmed, Abdullah
Cameron, Maria
Palacios, Antonio
Qi, Hengyuan
Sahoo, Samir
Dynamical Systems
34F10
As the need for higher performance from biological and electronic sensors continues to outpace current technologies, new strategies for designing, developing, and implementing novel sensor systems are emerging. A recently introduced feedforward network-based approach can simultaneously enhance a signal while steering a radiating beam in radio frequency communication systems. Furthermore, the approach is also model-independent, thus making it suitable for other applications. In this work, we aim to understand the effects of inhomogeneities in feedforward arrays, which are inevitable in real-world implementations. We investigate a collection of two-cell feedforward networks composed of pitch-fork cells and Stuart-Landau oscillators and quantify the effects of parameter inhomogeneities using system reduction, analytical and computational bifurcation analyses, and a singularity theory approach. Contrary to common intuition, inhomogeneity in the excitation parameter can be exploited to enhance the network output growth rate. While frequency inhomogeneity in Stuart-Landau networks primarily has an adverse effect on signal amplification, phase locking persists over a surprisingly broad range of inhomogeneity.
title Effects of Heterogeneity in Two-Cell Feedforward Networks
topic Dynamical Systems
34F10
url https://arxiv.org/abs/2602.12434