USC Inscription
Prof. Francisco Valero-Cuevas
Brain-Body Dynamics Lab




SELECTED PUBLICATIONS

Peer-reviewed Articles:





  • Lightdale-Miric N, Mueske NM, Dayanidhi S, Loiselle J, Berggren J, Lawrence EL, Stevanovic M, Valero-Cuevas FJ, Wren TAL.
    Quantitative Assessment of Dynamic Control of Fingertip Forces After Pollicization
    Gait & Posture, Best Paper Award - GCMAS 2014, http://dx.doi.org/10.1016/j.gaitpost.2014.08.012, In press
  • Lawrence EL, Fassola I, Werner I, Leclercq C, Valero-Cuevas FJ.
    Quantification of dexterity as the dynamical regulation of instabilities: comparisons across gender, age, and disease
    Frontiers in Neurology - Movement Disorders,5:53. doi: 10.3389/fneur.2014.00053
  • Dayanidhi S and Valero-Cuevas FJ.
    Dexterous manipulation is poorer at older ages and is dissociated from decline of hand strength
    Journal of Gerontology Series A: Biological Sciences and Medical Sciences, 69(9): p. 1139-45. doi: 10.1093/gerona/glu025, 2014.
  • Lyle MA, Valero-Cuevas FJ, Gregor RJ, Powers CM.
    Lower extremity dexterity is associated with agility in adolescent soccer athletes
    Scandinavian Journal of Medicine and Science in Sports, Accepted 2013.
  • Rácz K and Valero-Cuevas FJ.
    Spatio-temporal analysis reveals active control of both task-relevant and task-irrelevant variables.
    Frontiers in Computational Neuroscience, Special Research Topic on Modularity in Motor Control, Accepted 2013.
  • Lyle MA, Valero-Cuevas FJ, Gregor RJ, Powers CM.
    Control of Dynamic Foot-ground Interactions in Male and Female Soccer Athletes: Females Exhibit Reduced Dexterity and Higher Limb Stiffness During Landing
    Journal of Biomechanics, In Press, 2013.
  • Dayanidhi S, Kutch JJ, Valero-Cuevas FJ.
    Decrease in muscle contraction time complements neural maturation in the development of dynamic manipulation
    Journal of Neuroscience,33(38): p. 15050-55, 2013.
    Press Release
  • Dayanidhi S, Hedberg Å, Valero-Cuevas FJ, Forssberg H.
    The developmental improvements in dynamic control of fingertip forces last throughout childhood and into adolescence
    Journal of Neurophysiology, 110: p. 1583-92, 2013.

    Front Cover image

  • Lyle MA, Valero-Cuevas FJ, Gregor RJ, Powers CM.
    The lower extremity dexterity test as a measure of lower extremity dynamical capability
    Journal of Biomechanics, 46: p. 998–1002, 2013.
  • Inouye JM, Kutch JJ, and Valero-Cuevas FJ.
    Optimizing the Topology of Tendon-Driven Fingers: Rationale, Predictions and Implementation.
    The Human Hand: A Source of Inspiration for Robotic Hands, Springer Tracts in Advanced Robotics, 2012(In press).
  • Rácz K, Brown D, and Valero-Cuevas FJ.
    An involuntary stereotypical grasp tendency pervades voluntary dynamic multifinger manipulation.
    Journal of Neurophysiology, 108: p.2896-911, 2012.
  • Inouye JM, Kutch JJ, and Valero-Cuevas FJ.
    A novel synthesis of computational approaches enables optimization of grasp quality of tendon-driven hands.
    IEEE Transactions on Robotics, 28(4): p.958-66, 2012.
  • Kutch JJ and Valero-Cuevas FJ.
    Challenges and new approaches to proving the existence of muscle synergies of neural origin.
    PLoS Computational Biology. 2012;8(5):e1002434. Epub 2012 May 3.

  • Holmström L, de Manzano Ö, Vollmer B, Forsman L, Valero-Cuevas FJ, Ullén F, and Forssberg H.
    Dissociation of brain areas associated with force production and stabilization during manipulation of unstable objects.
    Experimental Brain Research, 215: p.359–67, 2011.
  • Theodorou E, Todorov E, and Valero-Cuevas FJ.
    Neuromuscular stochastic optimal control of a tendon-driven index finger model.
    American Control Conference, San Francisco, CA, June 29-July 1, 2011. Peer reviewed full-length abstract
  • Kutch JJ and Valero-Cuevas FJ.
    Muscle redundancy does not imply robustness to muscle dysfunction.
    Journal of Biomechanics, 44(7): p.1264-70, 2011.
  • Mosier K, Lau C, Wang Y, Venkadesan M, and Valero-Cuevas FJ.
    Controlling instabilities in manipulation requires specific cortical-striatal-cerebellar networks.
    Journal of Neurophysiology, 105: p.1295–305, 2011.
  • Sanger TD, Chen D, Fehlings DL, Hallett M, Lang AE, Mink JW, Singer H, Alter K, Ben-Pazi H, Butler E, Chen R, Collins A, Dayanidhi S, Forssberg H, Fowler E, Gilbert DL, Gorman SL, Gormley ME Jr., Jinnah HA, Kornblau B, Krosschell K, Lehman RK, MacKinnon A, Malanga CJ, Mesterman R, Barry Michaels M, Pearson TS, Rose J, Russman B, Sternad D, Swoboda K, and Valero-Cuevas FJ.
    Definition and Classification of Hyperkinetic Movements in Childhood.
    Movement Disorders, 25(11): p. 1538-49, 2010.
  • Vollmer B, Holmström L, Forsman L, Valero-Cuevas FJ, Forssberg H and Ullen F.
    Evidence of validity in a new method for measurement of dexterity in children and adolescents.
    Developmental Medicine & Child Neurology, 52(10): p. 948–54, 2010.
    Supplemental figure
  • Sherback M, Valero-Cuevas FJ and D'Andrea R.
    Slower visuomotor corrections with unchanged latency are an optimal adaptation to increased endogenous noise in the elderly.
    PLoS Computational Biology, 6(3): e1000708, 2010.
  • Cianchetti FA, Valero-Cuevas FJ
    The anticipatory control of motion-to-force transitions with the fingertips adapts optimally to task difficulty.
    Journal of Neurophysiology, 103(1): p. 108-16, 2010.
  • Valero-Cuevas FJ.
    A mathematical approach to the mechanical capabilities of limbs and fingers.
    Adv Exp Med Biol 629: 619-633, 2009. (Book Chapter)
  • Valero-Cuevas FJ, Hoffmann H, Kurse MU, Kutch JJ, Theodorou EA.
    Computational models for neuromuscular function.
    IEEE Reviews in Biomedical Engineering, 2: p. 110-35, 2009.
  • Keenan KG, Santos VJ, Venkadesan M, and Valero-Cuevas FJ.
    Maximal voluntary fingertip force production is not limited by movement speed in combined motion and force tasks.
    Journal of Neuroscience, 29(27): p.8784–9, 2009.
  • Valero-Cuevas FJ, Venkadesan M, Todorov E.
    Structured variability of muscle activations supports the minimal intervention principle of motor control (Cover Article).
    Journal of Neurophysiology, 102: p. 59-68, 2009.
    Supplemental material

    Back Cover image Front Cover image

  • Keenan KG, and Valero-Cuevas FJ.
    Epoch length to accurately estimate the amplitude of interference EMG is likely the result of unavoidable amplitude cancellation.
    Biomedical Signal Process Control, 3(2): p. 154–62, 2008.
  • Venkadesan M and Valero-Cuevas FJ.
    Effects of neuromuscular lags on controlling contact transitions.
    Philosophical Transactions of the Royal Society A: Physical, Mathematical and Engineering Sciences (2008 PREPRINT), By invitation, 367(1891): p. 1163-79
  • Venkadesan M and Valero-Cuevas FJ.
    Neural Control of Motion-to-Force Transitions with the Fingertip.
    Journal of Neuroscience, 28: p. 1366 - 73, 2008.
    Supplemental Material
  • Clewley R, Guckenheimer J, Valero-Cuevas FJ.
    Estimating effective degrees of freedom in motor systems.
    IEEE transactions on Biomedical Engineering, 55(2): p. 430-42, 2008.
  • Venkadesan M and Valero-Cuevas FJ.
    Effects of neuromuscular lags on controlling contact transitions.
    Philosophical Transactions of the Royal Society A: Physical, Mathematical and Engineering Sciences (2008 PREPRINT), By invitation, 367(1891): p. 1163-79
  • Keenan K and Valero-Cuevas FJ.
    Experimentally-valid predictions of muscle force and EMG in models of motor unit function are most sensitive to neural properties.
    Journal of Neurophysiology, 98(3): p. 1581-90, 2007.
  • Valero-Cuevas FJ, Yi JW, Brown D, McNamara RV III, Paul C, Lipson H.
    The tendon network of the fingers performs anatomical computation at a macroscopic scale.
    IEEE Transactions on Biomedical Engineering. 2007 Jun; 54 (6 Pt 2):1161-6.
  • Talati A, Valero-Cuevas FJ, Hirsch J.
    Visual and Tactile Guidance of Dexterous Manipulation Tasks: an fMRI Study.
    Perceptual and Motor Skills, 101: p. 317-34, 2005.
  • Valero-Cuevas FJ.
    An integrative approach to the biomechanical function and neuromuscular control of the fingers.
    Journal of Biomechanics, 38(4): p.673-84, 2005.
    ASB Post-Doctoral Young Scientist Award paper.
  • Kuxhaus L, Roach, SS, Valero-Cuevas FJ.
    Quantifying deficits in the 3D force capabilities of a digit caused by selective paralysis: application to the thumb with simulated low ulnar nerve palsy.
    Journal of Biomechanics, 38(4): p. 725-36, 2005.
  • Valero-Cuevas FJ, Smaby N, Venkadesan M, Peterson M and Wright T.
    The strength-dexterity test as a measure of dynamic pinch performance.
    Journal of Biomechanics, 36(2): p. 265-70, 2003.
  • Johanson ME, Valero-Cuevas FJ and Hentz VR.
    Activation patterns of the thumb muscles during stable and unstable pinch tasks.
    American Journal of Hand Surgery, 26: p. 698-705, 2001.
  • Valero-Cuevas FJ, Towles JD and Hentz VR.
    Quantification of fingertip force reduction in the forefinger following simulated paralysis of extensor and intrinsic muscles.
    Journal of Biomechanics, 33(12): p. 1601-09, 2000.
  • Valero-Cuevas FJ.
    Applying principles of robotics to understand the biomechanics, neuromuscular control and clinical rehabilitation of human digits.
    Proceedings of the 2000 IEEE International Conference on Robotics & Automation, p. 255-62, 2000.
  • Valero-Cuevas FJ.
    Predictive modulation of muscle coordination pattern magnitude scales fingertip force magnitude over the voluntary range.
    Journal of Neurophysiology, 83(3): p. 1469-79, 2000.
    *Related papers
  • Valero-Cuevas FJ, Zajac FE and Burgar CB.
    Large index-fingertip forces are produced by subject-independent patterns of muscle excitation.
    Journal of Biomechanics, 31(8): p. 693-703, 1998.
    *Related papers
  • Burgar CG, Valero-Cuevas FJ and Hentz VR.
    Fine-wire electromyographic recording during force generation. Application to index finger kinesiologic studies
    American Journal of Physical Medicine & Rehabilitation, 76(6): p. 494-501, 1998.

  • Back to top





  • Inouye JM and Valero-Cuevas FJ.
    Computational Optimization and Experimental Evaluation of Grasp Quality for Tendon-Driven Hands Subject to Design Constraints
    ASME Journal of Mechanical Design, Accepted 2013.
  • Rácz K and Valero-Cuevas FJ.
    Spatio-temporal analysis reveals active control of both task-relevant and task-irrelevant variables.
    Frontiers in Computational Neuroscience, Special Research Topic on Modularity in Motor Control, Accepted 2013.
  • Dayanidhi S, Kutch JJ, Valero-Cuevas FJ.
    Decrease in muscle contraction time complements neural maturation in the development of dynamic manipulation
    Journal of Neuroscience,33(38): p. 15050-55, 2013.
    Press Release
  • Inouye JM and Valero-Cuevas FJ.
    Anthropomorphic tendon-driven robotic hands can exceed human grasping capabilities following optimization
    The International Journal of Robotics Research (IJRR), Special Issue on Mechanics and Design of Robotic Hands, In Press 2013.
  • Inouye JM, Kutch JJ, and Valero-Cuevas FJ.
    Optimizing the Topology of Tendon-Driven Fingers: Rationale, Predictions and Implementation.
    The Human Hand: A Source of Inspiration for Robotic Hands, Springer Tracts in Advanced Robotics, 2012(In press).
  • Rácz K, Brown D, and Valero-Cuevas FJ.
    An involuntary stereotypical grasp tendency pervades voluntary dynamic multifinger manipulation.
    Journal of Neurophysiology, 108: p.2896-911, 2012.
  • Saxena A, Lipson H and Valero-Cuevas FJ.
    Functional inference of complex anatomical tendinous networks at a macroscopic scale via sparse experimentation.
    PLoS Computational Biology, 8(11): p.1-17, 2012.
  • Inouye JM, Kutch JJ, and Valero-Cuevas FJ.
    A novel synthesis of computational approaches enables optimization of grasp quality of tendon-driven hands.
    IEEE Transactions on Robotics, 28(4): p.958-66, 2012.
  • Kurse MU, Lipson H, and Valero-Cuevas FJ.
    Extrapolatable analytical functions for tendon excursions and moment arms from sparse datasets.
    IEEE Transactions on Biomedical Engineering, 59(6): p.1572-1582, 2012.
  • Kutch JJ and Valero-Cuevas FJ.
    Challenges and new approaches to proving the existence of muscle synergies of neural origin.
    PLoS Computational Biology. 2012;8(5):e1002434. Epub 2012 May 3.
  • Theodorou E, Todorov E, and Valero-Cuevas FJ.
    Neuromuscular stochastic optimal control of a tendon-driven index finger model.
    American Control Conference, San Francisco, CA, June 29-July 1, 2011. Peer reviewed full-length abstract
  • Mosier K, Lau C, Wang Y, Venkadesan M, and Valero-Cuevas FJ.
    Controlling instabilities in manipulation requires specific cortical-striatal-cerebellar networks.
    Journal of Neurophysiology, 105: p.1295–305, 2011.
  • Lange BS, Requejo P, Flynn SM, Rizzo AA, Valero-Cuevas FJ, Baker L, Winstein C.
    The Potential of Virtual Reality and Gaming to Assist Successful Aging with Disability.
    Physical Medicine & Rehabilitation Clinics of North America, 21(2): p. 339-56, 2010.
  • Sherback M, Valero-Cuevas FJ and D'Andrea R.
    Slower visuomotor corrections with unchanged latency are an optimal adaptation to increased endogenous noise in the elderly.
    PLoS Computational Biology, 6(3): e1000708, 2010.
  • Cianchetti FA, Valero-Cuevas FJ
    The anticipatory control of motion-to-force transitions with the fingertips adapts optimally to task difficulty.
    Journal of Neurophysiology, 103(1): p. 108-16, 2010.
  • Valero-Cuevas FJ.
    Why the hand?
    Advances in Experimental Medicine and Biology, 629: p.553-7, 2009.
  • Valero-Cuevas FJ.
    A mathematical approach to the mechanical capabilities of limbs and fingers.
    Advances in Experimental Medicine and Biology, 629: 619-633, 2009.
  • Valero-Cuevas FJ, Hoffmann H, Kurse MU, Kutch JJ, Theodorou EA.
    Computational models for neuromuscular function.
    IEEE Reviews in Biomedical Engineering, 2: p. 110-35, 2009.
  • Rieffel J, Valero-Cuevas FJ, Lipson H.
    Automated discovery and optimization of large irregular tensegrity structures
    Computers and Structures 87: p. 368-79, 2009.
  • Keenan KG, Santos VJ, Venkadesan M, and Valero-Cuevas FJ.
    Maximal voluntary fingertip force production is not limited by movement speed in combined motion and force tasks.
    Journal of Neuroscience, 29(27): p.8784–9, 2009.
  • Valero-Cuevas FJ, Venkadesan M, Todorov E.
    Structured variability of muscle activations supports the minimal intervention principle of motor control (Cover Article).
    Journal of Neurophysiology, 102: p. 59-68, 2009.
    Supplemental material

    Back Cover image Front Cover image

  • Santos VJ, Bustamante CD, Valero-Cuevas FJ.
    Improving the Fitness of High-dimensional Biomechanical Models via Data-driven Stochastic Exploration.
    IEEE Transactions on Biomedical Engineering., 56(3): p. 552-64, 2009.
  • Keenan KG, and Valero-Cuevas FJ.
    Epoch length to accurately estimate the amplitude of interference EMG is likely the result of unavoidable amplitude cancellation.
    Biomedical Signal Process Control, 3(2): p. 154–62, 2008.
  • Venkadesan M and Valero-Cuevas FJ.
    Effects of neuromuscular lags on controlling contact transitions.
    Philosophical Transactions of the Royal Society A: Physical, Mathematical and Engineering Sciences (2008 PREPRINT), By invitation, 367(1891): p. 1163-79
  • Venkadesan M and Valero-Cuevas FJ.
    Neural Control of Motion-to-Force Transitions with the Fingertip.
    Journal of Neuroscience, 28: p. 1366 - 73, 2008.
    Supplemental Material
  • Clewley R, Guckenheimer J, Valero-Cuevas FJ.
    Estimating effective degrees of freedom in motor systems.
    IEEE transactions on Biomedical Engineering, 55(2): p. 430-42, 2008.
  • Keenan K and Valero-Cuevas FJ.
    Experimentally-valid predictions of muscle force and EMG in models of motor unit function are most sensitive to neural properties.
    Journal of Neurophysiology, 98(3): p. 1581-90, 2007.
  • Valero-Cuevas FJ, Anand K, Saxena, A, Lipson H.
    Beyond parameter estimation: Extending biomechanical modeling by the explicit exploration of model topology.
    IEEE Transactions on Biomedical Engineering, 54(11): p. 1951-64.
  • Venkadesan M, Guckenheimer J, Valero-Cuevas FJ.
    Manipulating the edge of instability.
    Journal of Biomechanics, 40(8): p. 1653-61, 2007.
  • Valero-Cuevas FJ, Yi JW, Brown D, McNamara RV III, Paul C, Lipson H.
    The tendon network of the fingers performs anatomical computation at a macroscopic scale.
    IEEE Transactions on Biomedical Engineering. 2007 Jun; 54 (6 Pt 2):1161-6.
  • Paul C, Lipson H, Valero-Cuevas FJ.
    Design and Control of locomotive tensegrity robots.
    IEEE Transactions on Robotics, 22(5): p. 944-57, 2006.
  • Santos VJ and Valero-Cuevas FJ.
    Reported anatomical variability naturally leads to multimodal distributions of Denavit-Hartenberg parameters for the human thumb.
    IEEE Transactions on Biomedical Engineering, 53(2): p. 155-63, 2006.
  • Miller A, Allen P, Santos VJ, Valero-Cuevas FJ.
    From robotic hands to human hands:a visualization and simulation engine for grasping research.
    Industrial Robot: An International Journal, 32(1): p. 55-63, 2005.
  • Valero-Cuevas FJ.
    An integrative approach to the biomechanical function and neuromuscular control of the fingers.
    Journal of Biomechanics, 38(4): p.673-84, 2005.
    ASB Post-Doctoral Young Scientist Award paper.
  • Kuxhaus L, Roach, SS, Valero-Cuevas FJ.
    Quantifying deficits in the 3D force capabilities of a digit caused by selective paralysis: application to the thumb with simulated low ulnar nerve palsy.
    Journal of Biomechanics, 38(4): p. 725-36, 2005.
  • Pearlman JL, Roach SS, and Valero-Cuevas, FJ.
    The fundamental thumb-tip force vectors produced by the muscles of the thumb.
    Journal of Orthopaedic Research, 22: p. 306-12, 2004.
  • Valero-Cuevas FJ, Johanson, ME, and Towles, JD.
    Towards a realistic biomechanical model of the thumb: The choice of kinematic description may be more critical than the solution method or the variability/uncertainty of musculoskeletal parameters.
    Journal of Biomechanics, 36(7): p. 1019-30, 2003.
  • Johanson ME, Valero-Cuevas FJ and Hentz VR.
    Activation patterns of the thumb muscles during stable and unstable pinch tasks.
    American Journal of Hand Surgery, 26: p. 698-705, 2001.
  • Valero-Cuevas FJ, Towles JD and Hentz VR.
    Quantification of fingertip force reduction in the forefinger following simulated paralysis of extensor and intrinsic muscles.
    Journal of Biomechanics, 33(12): p. 1601-09, 2000.
  • Valero-Cuevas FJ.
    Applying principles of robotics to understand the biomechanics, neuromuscular control and clinical rehabilitation of human digits.
    Proceedings of the 2000 IEEE International Conference on Robotics & Automation, p. 255-62, 2000.
  • Valero-Cuevas FJ.
    Predictive modulation of muscle coordination pattern magnitude scales fingertip force magnitude over the voluntary range.
    Journal of Neurophysiology, 83(3): p. 1469-79, 2000.
    *Related papers
  • Valero-Cuevas FJ, Zajac FE and Burgar CB.
    Large index-fingertip forces are produced by subject-independent patterns of muscle excitation.
    Journal of Biomechanics, 31(8): p. 693-703, 1998.
    *Related papers
  • Valero-Cuevas FJ and Small CF.
    Load dependence in carpal kinematics during wrist flexion in vivo.
    Clinical Biomechanics, 12(3): p. 154-9, 1997.

  • Back to top





  • Inouye JM and Valero-Cuevas FJ.
    Computational Optimization and Experimental Evaluation of Grasp Quality for Tendon-Driven Hands Subject to Design Constraints
    ASME Journal of Mechanical Design, Accepted 2013.
  • Rácz K and Valero-Cuevas FJ.
    Spatio-temporal analysis reveals active control of both task-relevant and task-irrelevant variables.
    Frontiers in Computational Neuroscience, Special Research Topic on Modularity in Motor Control, Accepted 2013.
  • Inouye JM and Valero-Cuevas FJ.
    Anthropomorphic tendon-driven robotic hands can exceed human grasping capabilities following optimization
    The International Journal of Robotics Research (IJRR), Special Issue on Mechanics and Design of Robotic Hands, In Press 2013.
  • Inouye JM, Kutch JJ, and Valero-Cuevas FJ.
    Optimizing the Topology of Tendon-Driven Fingers: Rationale, Predictions and Implementation.
    The Human Hand: A Source of Inspiration for Robotic Hands, Springer Tracts in Advanced Robotics, 2012(In press).
  • Saxena A, Lipson H and Valero-Cuevas FJ.
    Functional inference of complex anatomical tendinous networks at a macroscopic scale via sparse experimentation.
    PLoS Computational Biology, 8(11): p.1-17, 2012.
  • Inouye JM, Kutch JJ, and Valero-Cuevas FJ.
    A novel synthesis of computational approaches enables optimization of grasp quality of tendon-driven hands.
    IEEE Transactions on Robotics, 28(4): p.958-66, 2012.
  • Kurse MU, Lipson H, and Valero-Cuevas FJ.
    Extrapolatable analytical functions for tendon excursions and moment arms from sparse datasets.
    IEEE Transactions on Biomedical Engineering, 59(6): p.1572-1582, 2012.
  • Theodorou E, Todorov E, and Valero-Cuevas FJ.
    Neuromuscular stochastic optimal control of a tendon-driven index finger model.
    American Control Conference, San Francisco, CA, June 29-July 1, 2011. Peer reviewed full-length abstract
  • Rieffel JA, Valero-Cuevas FJ and Lipson H.
    Morphological Communication: Exploiting Coupled Dynamics in a Complex Mechanical Structure to Achieve Locomotion (Cover Article).
    Journal of the Royal Society Interface, 7: p. 613-21, 2010.

    Front Cover image

  • Cianchetti FA, Valero-Cuevas FJ
    The anticipatory control of motion-to-force transitions with the fingertips adapts optimally to task difficulty.
    Journal of Neurophysiology, 103(1): p. 108-16, 2010.
  • Keenan KG, Santos VJ, Venkadesan M, and Valero-Cuevas FJ.
    Maximal voluntary fingertip force production is not limited by movement speed in combined motion and force tasks.
    Journal of Neuroscience, 29(27): p.8784–9, 2009.
  • Santos VJ, Bustamante CD, Valero-Cuevas FJ.
    Improving the Fitness of High-dimensional Biomechanical Models via Data-driven Stochastic Exploration.
    IEEE Transactions on Biomedical Engineering., 56(3): p. 552-64, 2009.
  • Rieffel J, Valero-Cuevas FJ, Lipson H.
    Automated discovery and optimization of large irregular tensegrity structures
    Computers and Structures 87: p. 368-79, 2009.
  • Valero-Cuevas FJ.
    Why the hand?
    Advances in Experimental Medicine and Biology, 629: p.553-7, 2009.
  • Valero-Cuevas FJ.
    A mathematical approach to the mechanical capabilities of limbs and fingers.
    Advances in Experimental Medicine and Biology, 629: 619-633, 2009.
  • Valero-Cuevas FJ, Hoffmann H, Kurse MU, Kutch JJ, Theodorou EA.
    Computational models for neuromuscular function.
    IEEE Reviews in Biomedical Engineering, 2: p. 110-35, 2009.
  • Keenan KG, and Valero-Cuevas FJ.
    Epoch length to accurately estimate the amplitude of interference EMG is likely the result of unavoidable amplitude cancellation.
    Biomedical Signal Process Control, 3(2): p. 154–62, 2008.
  • Venkadesan M and Valero-Cuevas FJ.
    Effects of neuromuscular lags on controlling contact transitions.
    Philosophical Transactions of the Royal Society A: Physical, Mathematical and Engineering Sciences (2008 PREPRINT), By invitation, 367(1891): p. 1163-79
  • Valero-Cuevas FJ, Anand K, Saxena, A, Lipson H.
    Beyond parameter estimation: Extending biomechanical modeling by the explicit exploration of model topology.
    IEEE Transactions on Biomedical Engineering, 54(11): p. 1951-64.
  • Valero-Cuevas FJ, Yi JW, Brown D, McNamara RV III, Paul C, Lipson H.
    The tendon network of the fingers performs anatomical computation at a macroscopic scale.
    IEEE Transactions on Biomedical Engineering. 2007 Jun; 54 (6 Pt 2):1161-6.
  • Paul C, Lipson H, Valero-Cuevas FJ.
    Design and Control of locomotive tensegrity robots.
    IEEE Transactions on Robotics, 22(5): p. 944-57, 2006.
  • Santos VJ and Valero-Cuevas FJ.
    Reported anatomical variability naturally leads to multimodal distributions of Denavit-Hartenberg parameters for the human thumb.
    IEEE Transactions on Biomedical Engineering, 53(2): p. 155-63, 2006.
  • Miller A, Allen P, Santos VJ, Valero-Cuevas FJ.
    From robotic hands to human hands:a visualization and simulation engine for grasping research.
    Industrial Robot: An International Journal, 32(1): p. 55-63, 2005.
  • Valero-Cuevas FJ.
    An integrative approach to the biomechanical function and neuromuscular control of the fingers.
    Journal of Biomechanics, 38(4): p.673-84, 2005.
    ASB Post-Doctoral Young Scientist Award paper.
  • Kuxhaus L, Roach, SS, Valero-Cuevas FJ.
    Quantifying deficits in the 3D force capabilities of a digit caused by selective paralysis: application to the thumb with simulated low ulnar nerve palsy.
    Journal of Biomechanics, 38(4): p. 725-36, 2005.
  • Pearlman JL, Roach SS, and Valero-Cuevas, FJ.
    The fundamental thumb-tip force vectors produced by the muscles of the thumb.
    Journal of Orthopaedic Research, 22: p. 306-12, 2004.
  • Valero-Cuevas FJ, Johanson, ME, and Towles, JD.
    Towards a realistic biomechanical model of the thumb: The choice of kinematic description may be more critical than the solution method or the variability/uncertainty of musculoskeletal parameters.
    Journal of Biomechanics, 36(7): p. 1019-30, 2003.
  • Valero-Cuevas FJ and Hentz VR.
    Releasing the A3 pulley and leaving flexor superficialis intact increase palmar force following the Zancolli lasso procedures to prevent claw deformity in the intrinsic minus hand.
    Journal of Orthopaedic Research, 20(5): p. 902-9, 2002.
  • Valero-Cuevas FJ, Towles JD and Hentz VR.
    Quantification of fingertip force reduction in the forefinger following simulated paralysis of extensor and intrinsic muscles.
    Journal of Biomechanics, 33(12): p. 1601-09, 2000.
  • Valero-Cuevas FJ.
    Applying principles of robotics to understand the biomechanics, neuromuscular control and clinical rehabilitation of human digits.
    Proceedings of the 2000 IEEE International Conference on Robotics & Automation, p. 255-62, 2000.
  • Valero-Cuevas FJ, Zajac FE and Burgar CB.
    Large index-fingertip forces are produced by subject-independent patterns of muscle excitation.
    Journal of Biomechanics, 31(8): p. 693-703, 1998.
    *Related papers

  • Back to top





  • Lightdale-Miric N, Mueske NM, Dayanidhi S, Loiselle J, Berggren J, Lawrence EL, Stevanovic M, Valero-Cuevas FJ, Wren TAL.
    Quantitative Assessment of Dynamic Control of Fingertip Forces After Pollicization
    Gait & Posture, Best Paper Award - GCMAS 2014, http://dx.doi.org/10.1016/j.gaitpost.2014.08.012, In press
  • Lawrence EL, Fassola I, Werner I, Leclercq C, Valero-Cuevas FJ.
    Quantification of dexterity as the dynamical regulation of instabilities: comparisons across gender, age, and disease
    Frontiers in Neurology - Movement Disorders,5:53. doi: 10.3389/fneur.2014.00053
  • Dayanidhi S and Valero-Cuevas FJ.
    Dexterous manipulation is poorer at older ages and is dissociated from decline of hand strength
    Journal of Gerontology Series A: Biological Sciences and Medical Sciences, 69(9): p. 1139-45. doi: 10.1093/gerona/glu025, 2104.
  • >
  • Lyle MA, Valero-Cuevas FJ, Gregor RJ, Powers CM.
    Lower extremity dexterity is associated with agility in adolescent soccer athletes
    Scandinavian Journal of Medicine and Science in Sports, Accepted 2013.
  • Lyle MA, Valero-Cuevas FJ, Gregor RJ, Powers CM.
    Control of Dynamic Foot-ground Interactions in Male and Female Soccer Athletes: Females Exhibit Reduced Dexterity and Higher Limb Stiffness During Landing
    Journal of Biomechanics, In Press, 2013.
  • Dayanidhi S, Kutch JJ, Valero-Cuevas FJ.
    Decrease in muscle contraction time complements neural maturation in the development of dynamic manipulation
    Journal of Neuroscience,33(38): p. 15050-55, 2013.
    Press Release
  • Dayanidhi S, Hedberg Å, Valero-Cuevas FJ, Forssberg H.
    The developmental improvements in dynamic control of fingertip forces last throughout childhood and into adolescence
    Journal of Neurophysiology, 110: p. 1583-92, 2013.

    Front Cover image

  • Lyle MA, Valero-Cuevas FJ, Gregor RJ, Powers CM.
    The lower extremity dexterity test as a measure of lower extremity dynamical capability
    Journal of Biomechanics, 46: p. 998–1002, 2013.
  • Rácz K, Brown D, and Valero-Cuevas FJ.
    An involuntary stereotypical grasp tendency pervades voluntary dynamic multifinger manipulation.
    Journal of Neurophysiology, 108: p.2896-911, 2012.
  • Saxena A, Lipson H and Valero-Cuevas FJ.
    Functional inference of complex anatomical tendinous networks at a macroscopic scale via sparse experimentation.
    PLoS Computational Biology, 8(11): p.1-17, 2012.
  • Kurse MU, Lipson H, and Valero-Cuevas FJ.
    Extrapolatable analytical functions for tendon excursions and moment arms from sparse datasets.
    IEEE Transactions on Biomedical Engineering, 59(6): p.1572-1582, 2012.
  • Holmström L, de Manzano Ö, Vollmer B, Forsman L, Valero-Cuevas FJ, Ullén F, and Forssberg H.
    Dissociation of brain areas associated with force production and stabilization during manipulation of unstable objects.
    Experimental Brain Research, 215: p.359–67, 2011.
  • Mosier K, Lau C, Wang Y, Venkadesan M, and Valero-Cuevas FJ.
    Controlling instabilities in manipulation requires specific cortical-striatal-cerebellar networks.
    Journal of Neurophysiology, 105: p.1295–305, 2011.
  • Sanger TD, Chen D, Fehlings DL, Hallett M, Lang AE, Mink JW, Singer H, Alter K, Ben-Pazi H, Butler E, Chen R, Collins A, Dayanidhi S, Forssberg H, Fowler E, Gilbert DL, Gorman SL, Gormley ME Jr., Jinnah HA, Kornblau B, Krosschell K, Lehman RK, MacKinnon A, Malanga CJ, Mesterman R, Barry Michaels M, Pearson TS, Rose J, Russman B, Sternad D, Swoboda K, and Valero-Cuevas FJ.
    Definition and Classification of Hyperkinetic Movements in Childhood.
    Movement Disorders, 25(11): p. 1538-49, 2010.
  • Vollmer B, Holmström L, Forsman L, Valero-Cuevas FJ, Forssberg H and Ullen F.
    Evidence of validity in a new method for measurement of dexterity in children and adolescents.
    Developmental Medicine & Child Neurology, 52(10): p. 948–54, 2010.
    Supplemental figure
  • Lange BS, Requejo P, Flynn SM, Rizzo AA, Valero-Cuevas FJ, Baker L, Winstein C.
    The Potential of Virtual Reality and Gaming to Assist Successful Aging with Disability.
    Physical Medicine & Rehabilitation Clinics of North America, 21(2): p. 339-56, 2010.
  • Sherback M, Valero-Cuevas FJ and D'Andrea R.
    Slower visuomotor corrections with unchanged latency are an optimal adaptation to increased endogenous noise in the elderly.
    PLoS Computational Biology, 6(3): e1000708, 2010.
  • Valero-Cuevas FJ, Hoffmann H, Kurse MU, Kutch JJ, Theodorou EA.
    Computational models for neuromuscular function.
    IEEE Reviews in Biomedical Engineering, 2: p. 110-35, 2009.
  • Clewley R, Guckenheimer J, Valero-Cuevas FJ.
    Estimating effective degrees of freedom in motor systems.
    IEEE transactions on Biomedical Engineering, 55(2): p. 430-42, 2008.
  • Talati A, Valero-Cuevas FJ, Hirsch J.
    Visual and Tactile Guidance of Dexterous Manipulation Tasks: an fMRI Study.
    Perceptual and Motor Skills, 101: p. 317-34, 2005.
  • Kuxhaus L, Roach, SS, Valero-Cuevas FJ.
    Quantifying deficits in the 3D force capabilities of a digit caused by selective paralysis: application to the thumb with simulated low ulnar nerve palsy.
    Journal of Biomechanics, 38(4): p. 725-36, 2005.
  • Valero-Cuevas FJ, Smaby N, Venkadesan M, Peterson M and Wright T.
    The strength-dexterity test as a measure of dynamic pinch performance.
    Journal of Biomechanics, 36(2): p. 265-70, 2003.
  • Valero-Cuevas FJ and Hentz VR.
    Releasing the A3 pulley and leaving flexor superficialis intact increase palmar force following the Zancolli lasso procedures to prevent claw deformity in the intrinsic minus hand.
    Journal of Orthopaedic Research, 20(5): p. 902-9, 2002.
  • Johanson ME, Valero-Cuevas FJ and Hentz VR.
    Activation patterns of the thumb muscles during stable and unstable pinch tasks.
    American Journal of Hand Surgery, 26: p. 698-705, 2001.
  • Valero-Cuevas FJ, Towles JD and Hentz VR.
    Quantification of fingertip force reduction in the forefinger following simulated paralysis of extensor and intrinsic muscles.
    Journal of Biomechanics, 33(12): p. 1601-09, 2000.
  • Valero-Cuevas FJ.
    Applying principles of robotics to understand the biomechanics, neuromuscular control and clinical rehabilitation of human digits.
    Proceedings of the 2000 IEEE International Conference on Robotics & Automation, p. 255-62, 2000.
  • Burgar CG, Valero-Cuevas FJ and Hentz VR.
    Fine-wire electromyographic recording during force generation. Application to index finger kinesiologic studies
    American Journal of Physical Medicine & Rehabilitation, 76(6): p. 494-501, 1998.
  • Valero-Cuevas FJ and Small CF.
    Load dependence in carpal kinematics during wrist flexion in vivo.
    Clinical Biomechanics, 12(3): p. 154-9, 1997.

  • Back to top





  • Lightdale-Miric N, Mueske NM, Dayanidhi S, Loiselle J, Berggren J, Lawrence EL, Stevanovic M, Valero-Cuevas FJ, Wren TAL.
    Quantitative Assessment of Dynamic Control of Fingertip Forces After Pollicization
    Gait & Posture, Best Paper Award - GCMAS 2014, http://dx.doi.org/10.1016/j.gaitpost.2014.08.012, In press
  • Lawrence EL, Fassola I, Werner I, Leclercq C, Valero-Cuevas FJ.
    Quantification of dexterity as the dynamical regulation of instabilities: comparisons across gender, age, and disease
    Frontiers in Neurology - Movement Disorders,5:53. doi: 10.3389/fneur.2014.00053
  • Dayanidhi S and Valero-Cuevas FJ.
    Dexterous manipulation is poorer at older ages and is dissociated from decline of hand strength
    Journal of Gerontology Series A: Biological Sciences and Medical Sciences, 69(9): p. 1139-45. doi: 10.1093/gerona/glu025, 2104.
  • Lyle MA, Valero-Cuevas FJ, Gregor RJ, Powers CM.
    Lower extremity dexterity is associated with agility in adolescent soccer athletes
    Scandinavian Journal of Medicine and Science in Sports, Accepted 2013.
  • Inouye JM and Valero-Cuevas FJ.
    Computational Optimization and Experimental Evaluation of Grasp Quality for Tendon-Driven Hands Subject to Design Constraints
    ASME Journal of Mechanical Design, Accepted 2013.
  • Rácz K and Valero-Cuevas FJ.
    Spatio-temporal analysis reveals active control of both task-relevant and task-irrelevant variables.
    Frontiers in Computational Neuroscience, Special Research Topic on Modularity in Motor Control, Accepted 2013.
  • Lyle MA, Valero-Cuevas FJ, Gregor RJ, Powers CM.
    Control of Dynamic Foot-ground Interactions in Male and Female Soccer Athletes: Females Exhibit Reduced Dexterity and Higher Limb Stiffness During Landing
    Journal of Biomechanics, In Press, 2013.
  • Dayanidhi S, Kutch JJ, Valero-Cuevas FJ.
    Decrease in muscle contraction time complements neural maturation in the development of dynamic manipulation
    Journal of Neuroscience,33(38): p. 15050-55, 2013.
    Press Release
  • Inouye JM and Valero-Cuevas FJ.
    Anthropomorphic tendon-driven robotic hands can exceed human grasping capabilities following optimization
    The International Journal of Robotics Research (IJRR), Special Issue on Mechanics and Design of Robotic Hands, In Press 2013.
  • Lyle MA, Valero-Cuevas FJ, Gregor RJ, Powers CM.
    The lower extremity dexterity test as a measure of lower extremity dynamical capability
    Journal of Biomechanics, 46: p. 998–1002, 2013.
  • Inouye JM, Kutch JJ, and Valero-Cuevas FJ.
    Optimizing the Topology of Tendon-Driven Fingers: Rationale, Predictions and Implementation.
    The Human Hand: A Source of Inspiration for Robotic Hands, Springer Tracts in Advanced Robotics, 2012(In press).
  • Rácz K, Brown D, and Valero-Cuevas FJ.
    An involuntary stereotypical grasp tendency pervades voluntary dynamic multifinger manipulation.
    Journal of Neurophysiology, 108: p.2896-911, 2012.
  • Saxena A, Lipson H and Valero-Cuevas FJ.
    Functional inference of complex anatomical tendinous networks at a macroscopic scale via sparse experimentation.
    PLoS Computational Biology, 8(11): p.1-17, 2012.
  • Inouye JM, Kutch JJ, and Valero-Cuevas FJ.
    A novel synthesis of computational approaches enables optimization of grasp quality of tendon-driven hands.
    IEEE Transactions on Robotics, 28(4): p.958-66, 2012.
  • Kurse MU, Lipson H, and Valero-Cuevas FJ.
    Extrapolatable analytical functions for tendon excursions and moment arms from sparse datasets.
    IEEE Transactions on Biomedical Engineering, 59(6): p.1572-1582, 2012.
  • Kutch JJ and Valero-Cuevas FJ.
    Challenges and new approaches to proving the existence of muscle synergies of neural origin.
    PLoS Computational Biology. 2012;8(5):e1002434. Epub 2012 May 3.
  • Theodorou E, Todorov E, and Valero-Cuevas FJ.
    Neuromuscular stochastic optimal control of a tendon-driven index finger model.
    American Control Conference, San Francisco, CA, June 29-July 1, 2011. Peer reviewed full-length abstract
  • Cianchetti FA, Valero-Cuevas FJ
    The anticipatory control of motion-to-force transitions with the fingertips adapts optimally to task difficulty.
    Journal of Neurophysiology, 103(1): p. 108-16, 2010.
  • Rieffel JA, Valero-Cuevas FJ and Lipson H.
    Morphological Communication: Exploiting Coupled Dynamics in a Complex Mechanical Structure to Achieve Locomotion (Cover Article).
    Journal of the Royal Society Interface, 7: p. 613-21, 2010.

    Front Cover image

  • Valero-Cuevas FJ.
    Why the hand?
    Advances in Experimental Medicine and Biology, 629: p.553-7, 2009.
  • Valero-Cuevas FJ.
    A mathematical approach to the mechanical capabilities of limbs and fingers.
    Advances in Experimental Medicine and Biology, 629: 619-633, 2009.
  • Keenan KG, Santos VJ, Venkadesan M, and Valero-Cuevas FJ.
    Maximal voluntary fingertip force production is not limited by movement speed in combined motion and force tasks.
    Journal of Neuroscience, 29(27): p.8784–9, 2009.
  • Valero-Cuevas FJ, Venkadesan M, Todorov E.
    Structured variability of muscle activations supports the minimal intervention principle of motor control (Cover Article).
    Journal of Neurophysiology, 102: p. 59-68, 2009.
    Supplemental material

    Back Cover image Front Cover image

  • Santos VJ, Bustamante CD, Valero-Cuevas FJ.
    Improving the Fitness of High-dimensional Biomechanical Models via Data-driven Stochastic Exploration.
    IEEE Transactions on Biomedical Engineering., 56(3): p. 552-64, 2009.
  • Valero-Cuevas FJ, Hoffmann H, Kurse MU, Kutch JJ, Theodorou EA.
    Computational models for neuromuscular function.
    IEEE Reviews in Biomedical Engineering, 2: p. 110-35, 2009.
  • Valero-Cuevas FJ, Anand K, Saxena, A, Lipson H.
    Beyond parameter estimation: Extending biomechanical modeling by the explicit exploration of model topology.
    IEEE Transactions on Biomedical Engineering, 54(11): p. 1951-64.
  • Valero-Cuevas FJ, Yi JW, Brown D, McNamara RV 3rd, Paul C, Lipson H.
    The tendon network of the fingers performs anatomical computation at a macroscopic scale.
    IEEE Transactions on Biomedical Engineering., 54(6 Pt 2): p. 1161-6, 2007.
  • Paul C, Lipson H, Valero-Cuevas FJ.
    Design and Control of locomotive tensegrity robots.
    IEEE Transactions on Robotics, 22(5): p. 944-57, 2006.
  • Santos VJ and Valero-Cuevas FJ.
    Reported anatomical variability naturally leads to multimodal distributions of Denavit-Hartenberg parameters for the human thumb.
    IEEE Transactions on Biomedical Engineering, 53(2): p. 155-63, 2006.
  • Miller A, Allen P, Santos VJ, Valero-Cuevas FJ.
    From robotic hands to human hands:a visualization and simulation engine for grasping research.
    Industrial Robot: An International Journal, 32(1): p. 55-63, 2005.
  • Valero-Cuevas FJ.
    An integrative approach to the biomechanical function and neuromuscular control of the fingers.
    Journal of Biomechanics, 38(4): p.673-84, 2005.
    ASB Post-Doctoral Young Scientist Award paper.
  • Kuxhaus L, Roach, SS, Valero-Cuevas FJ.
    Quantifying deficits in the 3D force capabilities of a digit caused by selective paralysis: application to the thumb with simulated low ulnar nerve palsy.
    Journal of Biomechanics, 38(4): p. 725-36, 2005.
  • Valero-Cuevas FJ, Johanson, ME, and Towles, JD.
    Towards a realistic biomechanical model of the thumb: The choice of kinematic description may be more critical than the solution method or the variability/uncertainty of musculoskeletal parameters.
    Journal of Biomechanics, 36(7): p. 1019-30, 2003.
  • Pearlman JL, Roach SS, and Valero-Cuevas, FJ.
    The fundamental thumb-tip force vectors produced by the muscles of the thumb.
    Journal of Orthopaedic Research, 22: p. 306-12, 2004.
  • Valero-Cuevas FJ, Smaby N, Venkadesan M, Peterson M and Wright T.
    The strength-dexterity test as a measure of dynamic pinch performance.
    Journal of Biomechanics, 36(2): p. 265-70, 2003.
  • Valero-Cuevas FJ and Hentz VR.
    Releasing the A3 pulley and leaving flexor superficialis intact increase palmar force following the Zancolli lasso procedures to prevent claw deformity in the intrinsic minus hand.
    Journal of Orthopaedic Research, 20(5): p. 902-9, 2002.
  • Johanson ME, Valero-Cuevas FJ and Hentz VR.
    Activation patterns of the thumb muscles during stable and unstable pinch tasks.
    American Journal of Hand Surgery, 26: p. 698-705, 2001.
  • Valero-Cuevas FJ, Towles JD and Hentz VR.
    Quantification of fingertip force reduction in the forefinger following simulated paralysis of extensor and intrinsic muscles.
    Journal of Biomechanics, 33(12): p. 1601-09, 2000.
  • Valero-Cuevas FJ.
    Applying principles of robotics to understand the biomechanics, neuromuscular control and clinical rehabilitation of human digits.
    Proceedings of the 2000 IEEE International Conference on Robotics & Automation, p. 255-62, 2000.
  • Valero-Cuevas FJ.
    Predictive modulation of muscle coordination pattern magnitude scales fingertip force magnitude over the voluntary range.
    Journal of Neurophysiology, 83(3): p. 1469-79, 2000.
    *Related papers
  • Valero-Cuevas FJ, Zajac FE and Burgar CB.
    Large index-fingertip forces are produced by subject-independent patterns of muscle excitation.
    Journal of Biomechanics, 31(8): p. 693-703, 1998.
    *Related papers
  • Valero-Cuevas FJ and Small CF.
    Load dependence in carpal kinematics during wrist flexion in vivo.
    Clinical Biomechanics, 12(3): p. 154-9, 1997.

  • Back to top





  • Lightdale-Miric N, Mueske NM, Dayanidhi S, Loiselle J, Berggren J, Lawrence EL, Stevanovic M, Valero-Cuevas FJ, Wren TAL.
    Quantitative Assessment of Dynamic Control of Fingertip Forces After Pollicization
    Gait & Posture, Best Paper Award - GCMAS 2014, http://dx.doi.org/10.1016/j.gaitpost.2014.08.012, In press
  • Lawrence EL, Fassola I, Werner I, Leclercq C, Valero-Cuevas FJ.
    Quantification of dexterity as the dynamical regulation of instabilities: comparisons across gender, age, and disease
    Frontiers in Neurology - Movement Disorders,5:53. doi: 10.3389/fneur.2014.00053
  • Dayanidhi S and Valero-Cuevas FJ.
    Dexterous manipulation is poorer at older ages and is dissociated from decline of hand strength
    Journal of Gerontology Series A: Biological Sciences and Medical Sciences, 69(9): p. 1139-45. doi: 10.1093/gerona/glu025, 2104.
  • Inouye JM and Valero-Cuevas FJ.
    Computational Optimization and Experimental Evaluation of Grasp Quality for Tendon-Driven Hands Subject to Design Constraints
    ASME Journal of Mechanical Design, Accepted 2013.
  • Rácz K and Valero-Cuevas FJ.
    Spatio-temporal analysis reveals active control of both task-relevant and task-irrelevant variables.
    Frontiers in Computational Neuroscience, Special Research Topic on Modularity in Motor Control, Accepted 2013.
  • Dayanidhi S, Kutch JJ, Valero-Cuevas FJ.
    Decrease in muscle contraction time complements neural maturation in the development of dynamic manipulation
    Journal of Neuroscience,33(38): p. 15050-55, 2013.
    Press Release
  • Inouye JM and Valero-Cuevas FJ.
    Anthropomorphic tendon-driven robotic hands can exceed human grasping capabilities following optimization
    The International Journal of Robotics Research (IJRR), Special Issue on Mechanics and Design of Robotic Hands, In Press 2013.
  • Dayanidhi S, Hedberg Å, Valero-Cuevas FJ, Forssberg H.
    The developmental improvements in dynamic control of fingertip forces last throughout childhood and into adolescence
    Journal of Neurophysiology, 110: p. 1583-92, 2013.

    Front Cover image

  • Inouye JM, Kutch JJ, and Valero-Cuevas FJ.
    Optimizing the Topology of Tendon-Driven Fingers: Rationale, Predictions and Implementation.
    The Human Hand: A Source of Inspiration for Robotic Hands, Springer Tracts in Advanced Robotics, 2012(In press).
  • Rácz K, Brown D, and Valero-Cuevas FJ.
    An involuntary stereotypical grasp tendency pervades voluntary dynamic multifinger manipulation.
    Journal of Neurophysiology, 108: p.2896-911, 2012.
  • Saxena A, Lipson H and Valero-Cuevas FJ.
    Functional inference of complex anatomical tendinous networks at a macroscopic scale via sparse experimentation.
    PLoS Computational Biology, 8(11): p.1-17, 2012.
  • Inouye JM, Kutch JJ, and Valero-Cuevas FJ.
    A novel synthesis of computational approaches enables optimization of grasp quality of tendon-driven hands.
    IEEE Transactions on Robotics, 28(4): p.958-66, 2012.
  • Kurse MU, Lipson H, and Valero-Cuevas FJ.
    Extrapolatable analytical functions for tendon excursions and moment arms from sparse datasets.
    IEEE Transactions on Biomedical Engineering, 59(6): p.1572-1582, 2012.
  • Holmström L, de Manzano Ö, Vollmer B, Forsman L, Valero-Cuevas FJ, Ullén F, and Forssberg H.
    Dissociation of brain areas associated with force production and stabilization during manipulation of unstable objects.
    Experimental Brain Research, 215: p.359–67, 2011.
  • Theodorou E, Todorov E, and Valero-Cuevas FJ.
    Neuromuscular stochastic optimal control of a tendon-driven index finger model.
    American Control Conference, San Francisco, CA, June 29-July 1, 2011. Peer reviewed full-length abstract
  • Mosier K, Lau C, Wang Y, Venkadesan M, and Valero-Cuevas FJ.
    Controlling instabilities in manipulation requires specific cortical-striatal-cerebellar networks.
    Journal of Neurophysiology, 105: p.1295–305, 2011.
  • Vollmer B, Holmström L, Forsman L, Valero-Cuevas FJ, Forssberg H and Ullen F.
    Evidence of validity in a new method for measurement of dexterity in children and adolescents.
    Developmental Medicine & Child Neurology, 52(10): p. 948–54, 2010.
    Supplemental figure
  • Cianchetti FA, Valero-Cuevas FJ
    The anticipatory control of motion-to-force transitions with the fingertips adapts optimally to task difficulty.
    Journal of Neurophysiology, 103(1): p. 108-16, 2010.
  • Valero-Cuevas FJ.
    Why the hand?
    Advances in Experimental Medicine and Biology, 629: p.553-7, 2009.
  • Valero-Cuevas FJ.
    A mathematical approach to the mechanical capabilities of limbs and fingers.
    Advances in Experimental Medicine and Biology, 629: 619-633, 2009.
  • Valero-Cuevas FJ, Hoffmann H, Kurse MU, Kutch JJ, Theodorou EA.
    Computational models for neuromuscular function.
    IEEE Reviews in Biomedical Engineering, 2: p. 110-35, 2009.
  • Keenan KG, Santos VJ, Venkadesan M, and Valero-Cuevas FJ.
    Maximal voluntary fingertip force production is not limited by movement speed in combined motion and force tasks.
    Journal of Neuroscience, 29(27): p.8784–9, 2009.
  • Santos VJ, Bustamante CD, Valero-Cuevas FJ.
    Improving the Fitness of High-dimensional Biomechanical Models via Data-driven Stochastic Exploration.
    IEEE Transactions on Biomedical Engineering., 56(3): p. 552-64, 2009.
  • Venkadesan M and Valero-Cuevas FJ.
    Effects of neuromuscular lags on controlling contact transitions.
    Philosophical Transactions of the Royal Society A: Physical, Mathematical and Engineering Sciences (2008 PREPRINT), By invitation, 367(1891): p. 1163-79
  • Venkadesan M and Valero-Cuevas FJ.
    Neural Control of Motion-to-Force Transitions with the Fingertip.
    Journal of Neuroscience, 28: p. 1366 - 73, 2008.
    Supplemental Material
  • Venkadesan M, Guckenheimer J, Valero-Cuevas FJ.
    Manipulating the edge of instability.
    Journal of Biomechanics, 40(8): p. 1653-61, 2007.
  • Valero-Cuevas FJ, Yi JW, Brown D, McNamara RV III, Paul C, Lipson H.
    The tendon network of the fingers performs anatomical computation at a macroscopic scale.
    IEEE Transactions on Biomedical Engineering. 2007 Jun; 54 (6 Pt 2):1161-6.
  • Santos VJ and Valero-Cuevas FJ.
    Reported anatomical variability naturally leads to multimodal distributions of Denavit-Hartenberg parameters for the human thumb.
    IEEE Transactions on Biomedical Engineering, 53(2): p. 155-63, 2006.
  • Talati A, Valero-Cuevas FJ, Hirsch J.
    Visual and Tactile Guidance of Dexterous Manipulation Tasks: an fMRI Study.
    Perceptual and Motor Skills, 101: p. 317-34, 2005.
  • Miller A, Allen P, Santos VJ, Valero-Cuevas FJ.
    From robotic hands to human hands:a visualization and simulation engine for grasping research.
    Industrial Robot: An International Journal, 32(1): p. 55-63, 2005.
  • Valero-Cuevas FJ.
    An integrative approach to the biomechanical function and neuromuscular control of the fingers.
    Journal of Biomechanics, 38(4): p.673-84, 2005.
    ASB Post-Doctoral Young Scientist Award paper.
  • Kuxhaus L, Roach, SS, Valero-Cuevas FJ.
    Quantifying deficits in the 3D force capabilities of a digit caused by selective paralysis: application to the thumb with simulated low ulnar nerve palsy.
    Journal of Biomechanics, 38(4): p. 725-36, 2005.


  • page last modified on September 1, 2014
    currently maintained by: emily lawrence
    originally designed by: kornelius rácz