Abstract
This Prospects presents the problems that must be solved by the vertebrate nervous system in the process of sensorimotor integration and motor control. The concepts of efference copy and inverse model are defined, and multiple biological mechanisms are described, including those that form the basis of integration, extrapolation, and comparison/cancellation operations. Open questions for future research include the biological basis of continuous and distributed versus modular control, and somatosensory–motor coordination.
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Aksay E, Olasagasti I, Mensh BD, Baker R, Goldman MS, Tank DW (2007) Functional dissection of circuitry in a neural integrator. Nat Neurosci 10: 494–504
Arnold DB, Robinson DA (1991) A learning network model of the neural integrator of the oculomotor system. Biol Cybern 64: 447–454
Bell CC (1982) Properties of a modifiable efference copy in an electric fish. J Neurophysiol 47: 1043–1056
Berry MJ II, Brivanlou IH, Jordan TA, Meister M (1999) Anticipation of moving stimuli by the retina. Nature 398: 334–338
Cannon SC, Robinson DA, Sharma SA (1983) A proposed neural network for the integrator of the oculomotor system. Biol Cybern 49: 127–136
Carr CE, Konishi M (1990) A circuit for detection of interaural time differences in the brain stem of the barn owl. J Neurosci 10: 3227–3246
Chapman CE (2009) Active touch. In: Binder MD, Hirokawa N, Windhorst U (eds) Encyclopedia of neuroscience. Springer, Berlin, pp 35–41
Chhabra M, Jacobs RA (2006) Properties of synergies arising from a theory of optimal motor behavior. Neural Comput 18: 2320–2342
Ciocarlie M, Goldfeder C, Allen PK (2007) Dimensionality reduction for hand-independent dexterous robotic grasping. International conference on intelligent robots and systems, San Diego
Cisek P (2009) Internal models. In: Binder MD, Hirokawa N, Windhorst U (eds) Encyclopedia of neuroscience. Springer, Berlin, pp 2010–2112
Crapse TB, Sommer MA (2008) Corollary discharge across the animal kingdom. Nat Rev Neurosci 9: 587–600
d’Avella A (2009) Muscle synergies. In: Binder MD, Hirokawa N, Windhorst U (eds) Encyclopedia of neuroscience. Springer, Berlin, pp 2509–2512
Fetz EE, Finocchio DV (1975) Correlations between activity of motor cortex cells and arm muscles during operantly conditioned response patterns. Exp Brain Res 23: 217–240
Fox CW, Mitchinson B, Pearson MJ, Pipe AG, Prescott TJ (2009) Behavioral dependency of texture classification in a whiskered mobile robot. Auton Robots 26: 223–239
Ganguly K, Carmena JM (2009) Emergence of a stable cortical map for neuroprothetic control. PLOS Biol 77: e1000153
Grillner S, Jessell TM (2009) Measured motion: searching for simplicity in spinal locomotor networks. Curr Opin Neurobiol 19: 572–586
Hentschke H, Haiss F, Schwarz C (2006) Central signals rapidly switch tactile processing in rat barrel cortex during whisker movements. Cereb Cortex 16: 1142–1156
Herrmann U, Flanders M (1998) Directional tuning of single motor units. J Neurosci 18: 8402–8416
Jerde TE, Soechting JF, Flanders M (2003) Coarticulation in fluent fingerspelling. J Neurosci 23: 2383–2393
Johansson RS, Flanagan JR (2009) Coding and use of tactile signals from the fingertips in object manipulation tasks. Nat Rev Neurosci 10: 345–359
Kim B, Basso MA (2010) A probabilistic strategy for understanding action selection. J Neurosci 30: 2340–2355
Klein Breteler MD, Simura KJ, Flanders M (2007) Timing of muscle activation in a hand movement sequence. Cereb Cortex 17: 803–815
Krekelberg B, Lappe M (2002) Neuronal latencies and the position of moving objects. Trends Neurosci 24: 335–339
Lemon RN (2008) Descending pathways in motor control. Ann Rev Neurosci 31: 195–218
Lewicki MS, Sejnowski TJ (2000) Learning overcomplete representations. Neural Comput 12: 337–365
Marr D (1982) Vision. W.H. Freeman and Co, San Francisco
Park TJ, Monsivais P, Pollak GD (1997) Processing of interaural intensity differences in the LSO: role of interaural threshold differences. J Neurophysiol 77: 2863–2878
Pellionisz A, Llinas R (1979) Brain modeling by tensor network theory and computer simulation. The cerebellum: distributed processor for predictive coordination. Neuroscience 4: 323–348
Pfeifer R, Lungarella M, Iida F (2007) Self-organization, embodiment, and biologically inspired robotics. Science 318: 1088–1093
Poulet JFA, Hedwig B (2006) The cellular basis of a corollary discharge. Science 311: 518–522
Poulet JFA, Hedwig B (2007) New insights into corollary discharges mediated by identified neural pathways. Trends Neurosci 30: 14–21
Puccini GD, Sanchez-Vives MV, Compte A (2007) Integrated mechanisms of anticipation and rate-of-change computations in cortical circuits. PLOS Comput Biol 3: 813–825
Romo R, Brody CD, Hernandez A, Lemus L (1999) Neuronal correlates of parametric working memory in prefrontal cortex. Nature 399: 470–473
Rudomin P, Schmidt RF (1999) Presynaptic inhibition in the vertebrate spinal cord revisited. Exp Brain Res 129: 1–37
Santello M, Flanders M, Soechting JF (1998) Postural hand synergies for tool use. J Neurosci 18: 10105–10115
Seki K, Perlmutter SL, Fetz EB (2003) Sensory input to primate spinal cord is presynaptically inhibited during voluntary movement. Nat Neurosci 6: 1309–1316
Seki K, Perlmutter SL, Fetz EB (2009) Task-dependent modulation of primary afferent depolarization in cervical spinal cord of monkeys performing an instructed delay task. J Neurophysiol 102: 85–99
Shibata T, Tabata H, Schaal S, Kawato M (2005) A model of smooth pursuit based on learning target dynamics. Neural Netw 18: 213–224
Shin H-C, Chapin JK (1989) Mapping the effects of motor cortex stimulation on single neurons in the dorsal column nuclei in the rat: direct responses and afferent modulation. Brain Res Bull 22: 245–252
Soechting JF, Rao HM, Juveli JZ (2010) Incorporating prediction in models for two-dimensional smooth pursuit. PLoS ONE 5(9): e12574
Solomon JH, Hartmann MJ (2006) Robotic whiskers used to sense features. Nature 443: 525
Taube JS, Bassett JP (2003) Persistent neural activity in head direction cells. Cereb Cortex 13: 1162–1172
Thoroughman KA, Shadmehr R (2000) Learning of action through adaptive combination of motor primitives. Nature 407: 742–747
Towe AL, Jabbur SJ (1961) Cortical inhibition of neurons in dorsal column nuclei of cat. J Neurophysiol 24: 488–498
von Holst E, Mittelstaedt H (1950) Das Reafferenzprinzip. Naturwissenschaften 37: 464–476
Webb B (2004) Neural mechanisms for prediction: do insects have forward models?. Trends Neurosci 27: 278–282
Weiss EJ, Flanders M (2004) Muscular and postural synergies of the human hand. J Neurophysiol 92: 523–535
Weiss EJ, Flanders M (2011) Somatosensory comparison during haptic tracing. Cereb Cortex 21(2): 425–434
Wu W, Gao Y, Bienenstock E, Donoghue JP, Black MJ (2006) Bayesian population decoding of motor cortical activity using a Kalman filter. Neural Comput 18: 80–118
Acknowledgment
Supported by the National Institute of Neurological Disorders and Stroke R01 NS027484. The author thanks Professors John Soechting and Randy Nelson.
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Open Access This is an open access article distributed under the terms of the Creative Commons Attribution Noncommercial License (https://creativecommons.org/licenses/by-nc/2.0), which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
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Flanders, M. What is the biological basis of sensorimotor integration?. Biol Cybern 104, 1–8 (2011). https://doi.org/10.1007/s00422-011-0419-9
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DOI: https://doi.org/10.1007/s00422-011-0419-9