English

Linear control systems on a 4D solvable Lie group used to model primary visual cortex $V1$

Optimization and Control 2025-11-03 v1

Abstract

In this article, we study linear control systems on a 4-dimensional solvable Lie group. Our motivation stems from the model introduced in \cite{baspinar}, which presents a precise geometric framework in which the primary visual cortex V1V1 is interpreted as a fiber bundle over the retinal plane MM (identified with R2\mathbb{R}^{2}), with orientation θS1\theta \in S^{1}, spatial frequency ωR+\omega \in \mathbb{R}^{+}, and phase ϕS1\phi \in S^{1} as intrinsic parameters. For each fixed frequency ω\omega, this model defines a Lie group G(ω)=R2×S1×S1G(\omega) = \mathbb{R}^{2} \times S^{1} \times S^{1}, which we adopt in this work as the state space group GG of our linear control system. We also present new results concerning controllability and characterize the control sets associated with this class of systems.

Keywords

Cite

@article{arxiv.2510.27445,
  title  = {Linear control systems on a 4D solvable Lie group used to model primary visual cortex $V1$},
  author = {Adriano Da Silva and Eyüp Kizil and Victor Ayala},
  journal= {arXiv preprint arXiv:2510.27445},
  year   = {2025}
}
R2 v1 2026-07-01T07:15:35.180Z