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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Main Authors: Vassiliy Tsytsarev, Anna Volnova, Legier Rojas, Priscila Sanabria, Alla Ignashchenkova, Jescelica Ortiz-Rivera, Janaina Alves, Mikhail Inyushin
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
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.
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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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AT priscilasanabria vectorialprinciplesofsensorimotordecoding
AT allaignashchenkova vectorialprinciplesofsensorimotordecoding
AT jescelicaortizrivera vectorialprinciplesofsensorimotordecoding
AT janainaalves vectorialprinciplesofsensorimotordecoding
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