Research output: Contribution to journal › Review article › peer-review
Vectorial principles of sensorimotor decoding. / Цыцарев, Василий Юрьевич; Вольнова, Анна Борисовна; Rojas, Legier; Sanabria, Priscila; Ignashchenkova, Alla; Ortiz-Rivera, Jescelica ; Alves, Janaina M.; Инюшин, М.Ю.
In: Frontiers in Human Neuroscience, Vol. 19, 1612626, 07.07.2025.Research output: Contribution to journal › Review article › peer-review
}
TY - JOUR
T1 - Vectorial principles of sensorimotor decoding
AU - Цыцарев, Василий Юрьевич
AU - Вольнова, Анна Борисовна
AU - Rojas, Legier
AU - Sanabria, Priscila
AU - Ignashchenkova, Alla
AU - Ortiz-Rivera, Jescelica
AU - Alves, Janaina M.
AU - Инюшин, М.Ю.
PY - 2025/7/7
Y1 - 2025/7/7
N2 - This review explores the vectorial principles underlying sensorimotor decoding across diverse biological systems. From the encoding of light wavelength in retinal cones to direction-specific motor cortex activity in primates, neural representations frequently rely on population vector coding-a scheme, in which neurons with directional or modality-specific preferences integrate their activity to encode stimuli or motor commands. Early studies on color vision and motor control introduced concepts of vector summation and neuronal tuning, evolving toward more precise models such as the von Mises distribution. Research in invertebrates, including leeches and snails, reveals that even simple nervous systems utilize population vector principles for reflexes and coordinated movements. Furthermore, analysis of joint limb motion suggests biomechanical optimization aligned with Fibonacci proportions, facilitating efficient neural and mechanical control. The review highlights that motor units and neurons often display multimodal or overlapping tuning fields, reinforcing the need for population-based decoding strategies. These findings suggest a unifying vectorial framework for sensory and motor coding, with implications for periprosthetic and brain-machine interface.
AB - This review explores the vectorial principles underlying sensorimotor decoding across diverse biological systems. From the encoding of light wavelength in retinal cones to direction-specific motor cortex activity in primates, neural representations frequently rely on population vector coding-a scheme, in which neurons with directional or modality-specific preferences integrate their activity to encode stimuli or motor commands. Early studies on color vision and motor control introduced concepts of vector summation and neuronal tuning, evolving toward more precise models such as the von Mises distribution. Research in invertebrates, including leeches and snails, reveals that even simple nervous systems utilize population vector principles for reflexes and coordinated movements. Furthermore, analysis of joint limb motion suggests biomechanical optimization aligned with Fibonacci proportions, facilitating efficient neural and mechanical control. The review highlights that motor units and neurons often display multimodal or overlapping tuning fields, reinforcing the need for population-based decoding strategies. These findings suggest a unifying vectorial framework for sensory and motor coding, with implications for periprosthetic and brain-machine interface.
KW - motor control
KW - perception
KW - sensorimotor system
KW - sensory and motor coding
KW - sensory systems
UR - https://www.mendeley.com/catalogue/dcec413f-a6b8-3dd6-bc1e-500f7eac6e72/
U2 - 10.3389/fnhum.2025.1612626
DO - 10.3389/fnhum.2025.1612626
M3 - Review article
C2 - 40708811
VL - 19
JO - Frontiers in Human Neuroscience
JF - Frontiers in Human Neuroscience
SN - 1662-5161
M1 - 1612626
ER -
ID: 137998789