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The speed-curvature power law of movements: a reappraisal

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Abstract

Several types of curvilinear movements obey approximately the so called 2/3 power law, according to which the angular speed varies proportionally to the 2/3 power of the curvature. The origin of the law is debated but it is generally thought to depend on physiological mechanisms. However, a recent paper (Marken and Shaffer, Exp Brain Res 88:685–690, 2017) claims that this power law is simply a statistical artifact, being a mathematical consequence of the way speed and curvature are calculated. Here we reject this hypothesis by showing that the speed-curvature power law of biological movements is non-trivial. First, we confirm that the power exponent varies with the shape of human drawing movements and with environmental factors. Second, we report experimental data from Drosophila larvae demonstrating that the power law does not depend on how curvature is calculated. Third, we prove that the law can be violated by means of several mathematical and physical examples. Finally, we discuss biological constraints that may underlie speed-curvature power laws discovered in empirical studies.

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Notes

  1. Bold characters denote vector quantities throughout.

  2. Although the terms velocity and speed are often used interchangeably in the literature (including M/S), the former denotes the vector with a magnitude and direction while the latter denotes the magnitude only.

  3. Notice, however, that orthogonal harmonic oscillations at a different frequency generate Lissajous motions that do not comply necessarily with the 2/3 power law (Lebedev et al. 2001).

References

  • Abeles M, Diesmann M, Flash T, Geisel T, Herrmann M, Teicher M (2013) Compositionality in neural control: an interdisciplinary study of scribbling movements in primates. Front Comput Neurosci 7:103. doi:10.3389/fncom.2013.00103

    Article  PubMed  PubMed Central  Google Scholar 

  • Bennequin D, Fuchs R, Berthoz A, Flash T (2009) Movement timing and invariance arise from several geometries. PLoS Comput Biol 5(7):e1000426

    Article  PubMed  PubMed Central  Google Scholar 

  • Catavitello G, Ivanenko YP, Lacquaniti F, Viviani P (2016) Drawing ellipses in water: evidence for dynamic constraints in the relation between speed and path curvature. Exp Brain Res 234:1649–1657

    Article  PubMed  Google Scholar 

  • Clauset A, Shalizi CR, Newman ME (2009) Power-law distributions in empirical data. SIAM Rev 51(4):661–703

    Article  Google Scholar 

  • de’Sperati C, Viviani P (1997) The relationship between curvature and speed in two-dimensional smooth pursuit eye movements. J Neurosci 17:3932–3945

    Google Scholar 

  • Dounskaia N (2007) Kinematic invariants during cyclical arm movements. Biol Cybern 96:147–163

    Article  PubMed  Google Scholar 

  • Flanders M, Mrotek LA, Gielen CC (2006) Planning and drawing complex shapes. Exp Brain Res 171:116–128

    Article  PubMed  Google Scholar 

  • Flash T, Handzel AA (2007) Affine differential geometry analysis of human arm movements. Biol Cybern 96:577–601

    Article  PubMed  PubMed Central  Google Scholar 

  • Gielen CC, Dijkstra TM, Roozen IJ, Welten J (2009) Coordination of gaze and hand movements for tracking and tracing in 3D. Cortex 45:340–355

    Article  PubMed  Google Scholar 

  • Gomez-Marin A, Stephens GJ, Louis M (2011) Active sampling and decision making in Drosophila chemotaxis. Nat Commun 2:441

    Article  PubMed  PubMed Central  Google Scholar 

  • Gomez-Marin A, Partoune N, Stephens GJ, Louis M (2012) Automated tracking of animal posture and movement during exploration and sensory orientation behaviors. PLoS One 7:e41642

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Gribble PL, Ostry DJ (1996) Origins of the power law relation between movement speed and curvature: modeling the effects of muscle mechanics and limb dynamics. J Neurophysiol 76:2853–2860

    Article  CAS  PubMed  Google Scholar 

  • Guggenheimer HW (1977) Differential geometry. Dover, New York, p 378

    Google Scholar 

  • Harris CM, Wolpert DM (1998) Signal-dependent noise determines motor planning. Nature 394:780–784

    Article  CAS  PubMed  Google Scholar 

  • Hicheur H, Vieilledent S, Richardson MJE, Flash T, Berthoz A (2005) Speed and curvature in human locomotion along complex curved paths: a comparison with hand movements. Exp Brain Res 162:145–154

    Article  CAS  PubMed  Google Scholar 

  • Huh D (2015) The vector space of convex curves: how to mix shapes. arXiv:1506.07515

  • Huh D, Sejnowski TJ (2015) Spectrum of power laws for curved hand movements. Proc Natl Acad Sci 112:E3950–E3958

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Ivanenko YP, Grasso R, Macellari V, Lacquaniti F (2002) Two-thirds power law in human locomotion: role of ground contact forces. NeuroReport 13:1171–1174

    Article  PubMed  Google Scholar 

  • Koenderink JJ, van Doorn AJ (1991) Affine structure from motion. J Opt Soc Am A 8:377–385

    Article  CAS  PubMed  Google Scholar 

  • La Scaleia B, Zago M, Moscatelli A, Lacquaniti F, Viviani P (2014) Implied dynamics biases the visual perception of speed. PLoS One 9(3):e93020

    Article  PubMed  PubMed Central  Google Scholar 

  • Lacquaniti F, Terzuolo C, Viviani P (1983) The law relating the kinematic and figural aspects of drawing movements. Acta Psychol (Amst) 54:115–130

    Article  CAS  Google Scholar 

  • Lacquaniti F, Terzuolo C, Viviani P (1984) Global metric properties and preparatory processes in drawing movements. In: Kornblum S, Requin J (eds) Preparatory states and processes. Erlbaum, Hillsdale, pp 357–370

    Google Scholar 

  • Lacquaniti F, Ferrigno G, Pedotti A, Soechting JF, Terzuolo C (1987) Changes in spatial scale in drawing and handwriting: kinematic contributions by proximal and distal joints. J Neurosci 7:819–828

    CAS  PubMed  Google Scholar 

  • Lebedev S, Tsui WH, Van Gelder P (2001) Drawing movements as an outcome of the principle of least action. J Math Psychol 45:43–52

    Article  PubMed  Google Scholar 

  • Maoz U, Portugaly E, Flash T, Weiss Y (2006) Noise and the 2/3 power law. Adv Neural Inf Proc Syst 18:851–858

    Google Scholar 

  • Maoz U, Berthoz A, Flash T (2009) Complex unconstrained three-dimensional hand movement and constant equi-affine speed. J Neurophysiol 101:1002–1015

    Article  PubMed  Google Scholar 

  • Marken RS, Shaffer DM (2017) The power law of movement: an example of a behavioral illusion. Exp Brain Res 235:1835–1842

    Article  PubMed  Google Scholar 

  • Massey JT, Lurito JT, Pellizzer G, Georgopoulos AP (1992) Three-dimensional drawings in isometric conditions: relation between geometry and kinematics. Exp Brain Res 88:685–690

    Article  CAS  PubMed  Google Scholar 

  • Pollick FE, Sapiro G (1997) Constant affine speed predicts the 1/3 power law of planar motion perception and generation. Vision Res 37:347–353

    Article  CAS  PubMed  Google Scholar 

  • Pollick FE, Maoz U, Handzel AA, Giblin P, Sapiro G, Flash T (2009) Three-dimensional arm movements at constant equi-affine speed. Cortex 45:325–339

    Article  PubMed  Google Scholar 

  • Polyakov F, Stark E, Drori R, Abeles M, Flash T (2009) Parabolic movement primitives and cortical states: merging optimality with geometric invariance. Biol Cybern 100:159–184

    Article  PubMed  Google Scholar 

  • Richardson MJE, Flash T (2002) Comparing smooth arm movements with the 2/3 power law and the related segmented-control hypothesis. J Neurosci 22:8201–8211

    CAS  PubMed  Google Scholar 

  • Schaal S, Sternad D (2001) Origins and violations of the 2/3 power law in rhythmic three-dimensional arm movements. Exp Brain Res 136:60–72

    Article  CAS  PubMed  Google Scholar 

  • Schwartz AB (1994) Direct cortical representation of drawing. Science 265:540–542

    Article  CAS  PubMed  Google Scholar 

  • Soechting JF, Terzuolo CA (1986) An algorithm for the generation of curvilinear wrist motion in an arbitrary plane in three-dimensional space. Neuroscience 19:1393–1405

    Article  CAS  PubMed  Google Scholar 

  • Soechting JF, Lacquaniti F, Terzuolo CA (1986) Coordination of arm movements in three-dimensional space. Sensorimotor mapping during drawing movement. Neuroscience 17:295–311

    Article  CAS  PubMed  Google Scholar 

  • Struik DJ (2012) Lectures on classical differential geometry. Dover Publ, New York

    Google Scholar 

  • Stumpf MP, Porter MA (2012) Critical truths about power laws. Science 335:665–666

    Article  CAS  PubMed  Google Scholar 

  • Todorov E, Jordan MI (1998) Smoothness maximization along a predefined path accurately predicts the speed profiles of complex arm movements. J Neurophysiol 80:696–714

    Article  CAS  PubMed  Google Scholar 

  • Tramper JJ, Flanders M (2013) Predictive mechanisms in the control of contour following. Exp Brain Res 227:535–546

    Article  PubMed  PubMed Central  Google Scholar 

  • Vieilledent S, Kerlirzin Y, Dalbera S, Berthoz A (2001) Relationship between speed and curvature of a human locomotor trajectory. Neurosci Lett 305:65–69

    Article  CAS  PubMed  Google Scholar 

  • Viviani P, Cenzato M (1985) Segmentation and coupling in complex movements. J Exp Psychol Hum Percept Perform 11:828–845

    Article  CAS  PubMed  Google Scholar 

  • Viviani P, Flash T (1995) Minimum-jerk, 2/3 power law, and isochrony: converging approaches to movement planning. J Exp Psychol Hum Percept Perform 21:32–53

    Article  CAS  PubMed  Google Scholar 

  • Viviani P, Schneider R (1991) A developmental study of the relationship between geometry and kinematics in drawing movements. J Exp Psychol Hum Percept Perform 17:198–218

    Article  CAS  PubMed  Google Scholar 

  • Viviani P, Terzuolo C (1982) Trajectory determines movement dynamics. Neuroscience 7:431–437

    Article  CAS  PubMed  Google Scholar 

  • Wann J, Nimmo-Smith I, Wing AM (1988) Relation between speed and curvature in movement: equivalence and divergence between a power law and a minimum-jerk model. J Exp Psychol Hum Percept Perform 14:622–637

    Article  CAS  PubMed  Google Scholar 

  • West G (2017) Scale. Penguin, New York, p 479

    Google Scholar 

  • Wolpert DM, Pearson KG, Ghez CPJ (2013) The organization and planning of movement. Princ Neural Sci 5:743–766

    Google Scholar 

  • Wooldridge JM (2012) Introductory econometrics: a modern approach. South-Western Cengage Learning, Mason, pp 88–93

    Google Scholar 

  • Zago M, Lacquaniti F, Gomez-Marin A (2016) The speed-curvature power law in Drosophila larval locomotion. Biol Lett 12(10):20160597

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

The authors declare no competing financial interests. The work was supported by the Italian Space Agency (grant n. I/006/06/0 to F.L. and grant n. 2014-008-R.0 to M.Z.), the Italian University Ministry (PRIN grant 2015HFWRYY_002 to F.L.), the Spanish Ministry of Economy and the Severo Ochoa Center of Excellence programs (SEV-2013-0317 start-up funds to A.G.-M., grant BFU-2015-74241-JIN to A.G.-M., and pre-doctoral contract BES-2016-077608 to A.M.). Tamar Flash is an incumbent of Dr. Haim Moross professorial chair. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. We thank the anonymous reviewers for helpful suggestions.

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Correspondence to Francesco Lacquaniti.

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Zago, M., Matic, A., Flash, T. et al. The speed-curvature power law of movements: a reappraisal. Exp Brain Res 236, 69–82 (2018). https://doi.org/10.1007/s00221-017-5108-z

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