<p>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 <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\( V1 \)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>V</mi> <mn>1</mn> </mrow> </math></EquationSource> </InlineEquation> is interpreted as a fiber bundle over the retinal plane <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\( M \)</EquationSource> <EquationSource Format="MATHML"><math> <mi>M</mi> </math></EquationSource> </InlineEquation> (identified with <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\( \mathbb {R}^{2} \)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mrow> <mi mathvariant="double-struck">R</mi> </mrow> <mn>2</mn> </msup> </math></EquationSource> </InlineEquation>), with orientation <InlineEquation ID="IEq4"> <EquationSource Format="TEX">\( \theta \in S^{1} \)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>θ</mi> <mo>∈</mo> <msup> <mi>S</mi> <mn>1</mn> </msup> </mrow> </math></EquationSource> </InlineEquation>, spatial frequency <InlineEquation ID="IEq5"> <EquationSource Format="TEX">\( \omega \in \mathbb {R}^{+} \)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>ω</mi> <mo>∈</mo> <msup> <mrow> <mi mathvariant="double-struck">R</mi> </mrow> <mo>+</mo> </msup> </mrow> </math></EquationSource> </InlineEquation>, and phase <InlineEquation ID="IEq6"> <EquationSource Format="TEX">\( \phi \in S^{1} \)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>ϕ</mi> <mo>∈</mo> <msup> <mi>S</mi> <mn>1</mn> </msup> </mrow> </math></EquationSource> </InlineEquation> as intrinsic parameters. For each fixed frequency <InlineEquation ID="IEq7"> <EquationSource Format="TEX">\( \omega \)</EquationSource> <EquationSource Format="MATHML"><math> <mi>ω</mi> </math></EquationSource> </InlineEquation>, this model defines a Lie group <InlineEquation ID="IEq8"> <EquationSource Format="TEX">\( G(\omega ) = \mathbb {R}^{2} \times S^{1} \times S^{1} \)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>G</mi> <mrow> <mo stretchy="false">(</mo> <mi>ω</mi> <mo stretchy="false">)</mo> </mrow> <mo>=</mo> <msup> <mrow> <mi mathvariant="double-struck">R</mi> </mrow> <mn>2</mn> </msup> <mo>×</mo> <msup> <mi>S</mi> <mn>1</mn> </msup> <mo>×</mo> <msup> <mi>S</mi> <mn>1</mn> </msup> </mrow> </math></EquationSource> </InlineEquation>, which we adopt in this work as the state space group <InlineEquation ID="IEq9"> <EquationSource Format="TEX">\( G \)</EquationSource> <EquationSource Format="MATHML"><math> <mi>G</mi> </math></EquationSource> </InlineEquation> of our linear control system. We also present new results concerning controllability and characterize the control sets associated with this class of systems.</p>

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

  • Adriano Da Silva,
  • Eyüp Kizil,
  • Victor Ayala

摘要

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 \( V1 \) V 1 is interpreted as a fiber bundle over the retinal plane \( M \) M (identified with \( \mathbb {R}^{2} \) R 2 ), with orientation \( \theta \in S^{1} \) θ S 1 , spatial frequency \( \omega \in \mathbb {R}^{+} \) ω R + , and phase \( \phi \in S^{1} \) ϕ S 1 as intrinsic parameters. For each fixed frequency \( \omega \) ω , this model defines a Lie group \( G(\omega ) = \mathbb {R}^{2} \times S^{1} \times S^{1} \) G ( ω ) = R 2 × S 1 × S 1 , which we adopt in this work as the state space group \( G \) G of our linear control system. We also present new results concerning controllability and characterize the control sets associated with this class of systems.