Vectorial principles of sensorimotor decoding
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 schem...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-07-01
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| Series: | Frontiers in Human Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnhum.2025.1612626/full |
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| author | Vassiliy Tsytsarev Anna Volnova Legier Rojas Priscila Sanabria Alla Ignashchenkova Jescelica Ortiz-Rivera Janaina Alves Mikhail Inyushin |
| author_facet | Vassiliy Tsytsarev Anna Volnova Legier Rojas Priscila Sanabria Alla Ignashchenkova Jescelica Ortiz-Rivera Janaina Alves Mikhail Inyushin |
| author_sort | Vassiliy Tsytsarev |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-c1799681317340fba319e7e6975325c8 |
| institution | Kabale University |
| issn | 1662-5161 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Human Neuroscience |
| spelling | doaj-art-c1799681317340fba319e7e6975325c82025-08-20T03:51:02ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612025-07-011910.3389/fnhum.2025.16126261612626Vectorial principles of sensorimotor decodingVassiliy Tsytsarev0Anna Volnova1Legier Rojas2Priscila Sanabria3Alla Ignashchenkova4Jescelica Ortiz-Rivera5Janaina Alves6Mikhail Inyushin7Department of Anatomy and Neurobiology, School of Medicine, University of Maryland, Baltimore, MD, United StatesInstitute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, RussiaSchool of Medicine, Central University of the Caribbean, Bayamón, Puerto RicoSchool of Medicine, Central University of the Caribbean, Bayamón, Puerto RicoNevsky Center of Scientific Collaboration, Saint Petersburg, RussiaSchool of Medicine, Central University of the Caribbean, Bayamón, Puerto RicoSchool of Medicine, Central University of the Caribbean, Bayamón, Puerto RicoSchool of Medicine, Central University of the Caribbean, Bayamón, Puerto RicoThis 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.https://www.frontiersin.org/articles/10.3389/fnhum.2025.1612626/fullsensorimotor systemmotor controlsensory systemsperceptionsensory and motor coding |
| spellingShingle | Vassiliy Tsytsarev Anna Volnova Legier Rojas Priscila Sanabria Alla Ignashchenkova Jescelica Ortiz-Rivera Janaina Alves Mikhail Inyushin Vectorial principles of sensorimotor decoding Frontiers in Human Neuroscience sensorimotor system motor control sensory systems perception sensory and motor coding |
| title | Vectorial principles of sensorimotor decoding |
| title_full | Vectorial principles of sensorimotor decoding |
| title_fullStr | Vectorial principles of sensorimotor decoding |
| title_full_unstemmed | Vectorial principles of sensorimotor decoding |
| title_short | Vectorial principles of sensorimotor decoding |
| title_sort | vectorial principles of sensorimotor decoding |
| topic | sensorimotor system motor control sensory systems perception sensory and motor coding |
| url | https://www.frontiersin.org/articles/10.3389/fnhum.2025.1612626/full |
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