Abstract
A methodology to derive finite state models of legged locomotion is outlined. Background data for model derivation are joint angle functions and gait diagrams. The method is used to describe the walking of the cat in terms of an abstract automaton. The main features of finite state descriptions of legged locomotion are described. Such models are presenting locomotion invariants of a species in explicit form. It is emphasized that finite state models provide insight into structural features of motor control organization such as decomposition into subsystems, interaction between centralized and decentralized control, and the role of control levels. The finite state model of locomotion can be helpful in suggesting experiments pertinent to the study of motor control and interpretation of experimental results.
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Arshavsky YU I, Kots YM, Orlovsky GN, Rodionov IM, Shik ML (1965) Investigation of the biomechanics of running by the dog. Biofizika 10:737–746
Bessou P, Cabelguen JM, Joffroy M, Montoya R, Pages B (1986) Efferent and afferent activity in a gastrocnemius nerve branch during locomotion in the thalamic cat. Exp Brain Res 64:553–568
Chambers WW, Liu CN, McCough GP, Yu J (1973) Reflexes involving tricepts surae from the ankie joint of the cat. Exp Neurol 39:461–468
Cordo PJ (1988) Kinesthetic coordination of a movement sequence in humans. Neurosci Lett 92:40–45
Grillner S (1973) Locomotion in the spinal cat. In: Stein RB, Pearson KG, Smith RS, Redford JB (eds) Control of posture and locomotion. Plenum Press, New York, pp 515–535
Grillner S (1985) Neural control of vertebrate locomotion-central mechanisms and reflex interaction with special reference to the cat. In: Barnes WJP, Gladden MH (eds) Feedback and motor control in invertebrates and vertebrates. Croom Helm, London, pp 35–56
Grillner S, Rossignol S (1978) On the initiation of the swing phase of locomotion in chronic spinal cats. Brain Res 146:269–277
Halbertsma JM (1983) The stride cycle of the cat: the modelling of locomotion by computerized analysis of automatic recordings. Acta Physiol Scand [Suppl] 521:1–75
Kulagin AS, Shik MI (1970) Interaction of symetrical limbs during controlled locomotion. Biofizika 15:171–178
Loeb GE (1985) What the cat's hind limb tells the cat's spinal cord, In: Barnes WJP, Gladden MH (eds) Feedback and motor control in invertebrates and vertebrates. Croom Helm, London, pp 173–186
Matthews PBC (1982) Where does Sherrington's “muscular sense” originate? Muscles, joints, corollary discharges? Ann Rev Neurosci 5:189–218
Murphy PR, Stein RB, Taylor J (1984) Phasic and tonic modulation of impulse rates in γ-motoneurons during locomotion in premammillary cats. J Neurophysiol 52:228–243
Orlovsky GN (1972) Activity of rubrospinal neurons during locomotion. Brain Res 46:99–112
Orlovsky GN, Feldman AG (1972) Role of afferent activity in the generation of stepping movements. Neirofiziologiya 4:304–310
Orlovsky GN, Shik ML (1965) Standard elements of cyclic movements. Biofizika 10:935–944
Orlovsky GN, Severin FV, Shik ML (1966) Effect of speed and load on coordination of movements during running of the dog. Biofizika 11:578–588
Shik ML, Orlovsky GN (1965) Coordination of the limbs during running of the dog. Biofizika 10:1148–1159
Shik ML, Severin FV, Orlovsky GN (1966a) Control of walking and running by means of electrical stimulation of the mid-brain. Biofizika 11:756–765
Shik ML, Orlovsky GN, Severin FV (1966b) Organization of locomotor synergism. Biofizika 11:1011–1019
Simon J, Wei JY, Randić M, Burgess PR (1984) Signaling of ankle joint position by receptors in different muscles. Somatosens Res 2:127–147
Tomović R (1978) Some control conditions for self-organization: what the control theorist can learn from biology. Am J Physiol 235:205–209
Tomović R (1987) Control theory and self-reproduction. In: Yates FE (eds) Self-organizing systems: the emergence of order. Plenum Press, New York, pp 399–407
Tomović R (1989) Skill based expert systems. In: Tzafestas SG (ed) Intelligent robotic systems. Dekker, New York
Tomović R, Bellman R (1970) System approach to muscle control. Math Biosci 3:265–277
Vučo J, Anastasijević R (1985) Modulations of fusimotor discharge induced by tension changes during reflex muscle contraction. In: Boyd IA, Gladden MH (eds) The muscle spindle. Macmillan, Basingstoke, pp 285–289
Wei J, Simon J, Randić M, Burgess PR (1986) Joint angle signaling by muscle spindle receptors. Brain Res 370:108–118
Wetzel MC, Stuart DG (1976) Ensemble characteristics of cat locomotion and its neural control. Progr Neurobiol 7:1–98
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Tomović, R., Anastasijević, R., Vučo, J. et al. The study of locomotion by finite state models. Biol. Cybern. 63, 271–276 (1990). https://doi.org/10.1007/BF00203450
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DOI: https://doi.org/10.1007/BF00203450