TY - JOUR
T1 - Linear control systems on a 4D solvable Lie group used to model primary visual cortex V1
AU - Da Silva, Adriano
AU - Kizil, Eyüp
AU - Ayala, Victor
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2025.
PY - 2025
Y1 - 2025
N2 - In this article, we study linear control systems on a 4-dimensional solvable Lie group. Our motivation stems from the model introduced in Baspinar et al. (J Math Neurosci 10:11, 2020), which presents a precise geometric framework in which the primary visual cortex V1 is interpreted as a fiber bundle over the retinal plane M (identified with R2), with orientation θ∈S1, spatial frequency ω∈R+, and phase ϕ∈S1 as intrinsic parameters. For each fixed frequency ω, this model defines a Lie group G(ω)=R2×S1×S1, which we adopt in this work as the state space group G of our linear control system. We also present new results concerning controllability and characterize the control sets associated with this class of systems.
AB - In this article, we study linear control systems on a 4-dimensional solvable Lie group. Our motivation stems from the model introduced in Baspinar et al. (J Math Neurosci 10:11, 2020), which presents a precise geometric framework in which the primary visual cortex V1 is interpreted as a fiber bundle over the retinal plane M (identified with R2), with orientation θ∈S1, spatial frequency ω∈R+, and phase ϕ∈S1 as intrinsic parameters. For each fixed frequency ω, this model defines a Lie group G(ω)=R2×S1×S1, which we adopt in this work as the state space group G of our linear control system. We also present new results concerning controllability and characterize the control sets associated with this class of systems.
KW - Control sets
KW - Controllability
KW - Lie groups
UR - https://www.scopus.com/pages/publications/105025362162
U2 - 10.1007/s00498-025-00431-x
DO - 10.1007/s00498-025-00431-x
M3 - Article
AN - SCOPUS:105025362162
SN - 0932-4194
JO - Mathematics of Control, Signals, and Systems
JF - Mathematics of Control, Signals, and Systems
ER -