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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1925 1
1926 1
1945 1
1949 1
1951 2
1952 1
1953 3
1954 2
1955 1
1958 2
1959 1
1960 1
1961 1
1962 2
1963 2
1964 6
1965 2
1966 2
1967 7
1968 16
1969 22
1970 25
1971 40
1972 58
1973 42
1974 42
1975 174
1976 123
1977 125
1978 142
1979 155
1980 156
1981 177
1982 190
1983 232
1984 256
1985 321
1986 327
1987 299
1988 327
1989 348
1990 426
1991 473
1992 472
1993 592
1994 578
1995 683
1996 761
1997 814
1998 840
1999 990
2000 1127
2001 1167
2002 1247
2003 1460
2004 1662
2005 1834
2006 2068
2007 2361
2008 2583
2009 2865
2010 3098
2011 3478
2012 3954
2013 4188
2014 4396
2015 4520
2016 4577
2017 4697
2018 4510
2019 3332
2020 460
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62,197 results
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Page 1
Locomotion Control of Pigeons using Polymer-based Deep Brain Electrodes.
Choi GJ, Jang J, Kang S, Shim S, Baek C, Kim B, Park Y, Kim S, Jung Y, Seo K, Seo JM, Song YK, Kim SJ. Choi GJ, et al. Conf Proc IEEE Eng Med Biol Soc. 2018 Jul;2018:1871-1874. doi: 10.1109/EMBC.2018.8512684. Conf Proc IEEE Eng Med Biol Soc. 2018. PMID: 30440761
Current pulses with an amplitude of 0.5 mA, a rate of 58.0 Hz, and a duration of $320\mu \mathrm{s} $s were applied for 0.5 s. When the ICo region was electrically stimulated, taking-off behavior was successfully induced for 0.4 s. Induction of taking- …
Current pulses with an amplitude of 0.5 mA, a rate of 58.0 Hz, and a duration of $320\mu \mathrm{s} $s were applied for 0.5 …
Evolution of Joint-Level Control for Quadrupedal Locomotion.
Moore JM, McKinley PK. Moore JM, et al. Artif Life. 2017 Winter;23(1):58-79. doi: 10.1162/ARTL_a_00222. Epub 2017 Jan 31. Artif Life. 2017. PMID: 28140629
We investigate a hierarchical approach to robot control inspired by joint-level control in animals. The method combines a high-level controller, consisting of an artificial neural network (ANN), with joint-level controllers based on digital muscles. .. …
We investigate a hierarchical approach to robot control inspired by joint-level control in animals. The method combines a high …
Modeling and analysis of a new locomotion control neural networks.
Liu Q, Wang JZ. Liu Q, et al. Biol Cybern. 2018 Aug;112(4):345-356. doi: 10.1007/s00422-018-0758-x. Epub 2018 Apr 26. Biol Cybern. 2018. PMID: 29700596
A new locomotion control neural network is built that takes advantage of this neuron model and its performance is analyzed mathematically and by numerical simulation. From these analyses, it is found that the new control networks have no restriction on their …
A new locomotion control neural network is built that takes advantage of this neuron model and its performance is analyzed mat …
Taking the next step: cortical contributions to the control of locomotion.
Drew T, Marigold DS. Drew T, et al. Curr Opin Neurobiol. 2015 Aug;33:25-33. doi: 10.1016/j.conb.2015.01.011. Epub 2015 Jan 30. Curr Opin Neurobiol. 2015. PMID: 25643847 Review.
In this review, we discuss recent experiments that address the contribution of the posterior parietal cortex (PPC) and the motor cortex to the control of locomotion. ...In contrast, the motor cortex contributes primarily to the execution of gait modifications by mod …
In this review, we discuss recent experiments that address the contribution of the posterior parietal cortex (PPC) and the motor cortex to t …
Bipedal robotic walking control derived from analysis of human locomotion.
Meng L, Macleod CA, Porr B, Gollee H. Meng L, et al. Biol Cybern. 2018 Jun;112(3):277-290. doi: 10.1007/s00422-018-0750-5. Epub 2018 Feb 5. Biol Cybern. 2018. PMID: 29399713 Free PMC article.
A minimal, nonlinear, and robust control system was created and subsequently analysed by applying it to our bipedal robot RunBot III without any central pattern generators or precise trajectory control. The results demonstrate that our controller can generate …
A minimal, nonlinear, and robust control system was created and subsequently analysed by applying it to our bipedal robot RunBot III …
Spinal circuitry of sensorimotor control of locomotion.
McCrea DA. McCrea DA. J Physiol. 2001 May 15;533(Pt 1):41-50. doi: 10.1111/j.1469-7793.2001.0041b.x. J Physiol. 2001. PMID: 11351011 Free PMC article. Review.
During locomotion many segmental hindlimb reflex pathways serve not only to regulate the excitability of local groups of motoneurones, but also to control the basic operation of the central pattern-generating circuitry responsible for locomotion. ...Th …
During locomotion many segmental hindlimb reflex pathways serve not only to regulate the excitability of local groups of moton …
The Effect of Locomotion on Early Visual Contrast Processing in Humans.
Benjamin AV, Wailes-Newson K, Ma-Wyatt A, Baker DH, Wade AR. Benjamin AV, et al. J Neurosci. 2018 Mar 21;38(12):3050-3059. doi: 10.1523/JNEUROSCI.1428-17.2017. Epub 2018 Feb 20. J Neurosci. 2018. PMID: 29463642 Free PMC article.
Recent work in mice has shown that locomotion elevates visual neuronal response amplitudes (Niell and Stryker, 2010; Erisken et al., 2014; Fu et al., 2014; Lee et al., 2014; Mineault et al., 2016) and reduces long-range gain control (Ayaz et al., 2013). ...Recent st …
Recent work in mice has shown that locomotion elevates visual neuronal response amplitudes (Niell and Stryker, 2010; Erisken et al., …
Can a single session of motor imagery promote motor learning of locomotion in older adults? A randomized controlled trial.
Nicholson VP, Keogh JW, Low Choy NL. Nicholson VP, et al. Clin Interv Aging. 2018 Apr 23;13:713-722. doi: 10.2147/CIA.S164401. eCollection 2018. Clin Interv Aging. 2018. PMID: 29720876 Free PMC article. Clinical Trial.
Participants were randomly divided into three groups following baseline locomotor testing: motor imagery training, physical training, and control groups. ...Motor imagery and physical training also promoted improvements in some locomotion outcomes as d …
Participants were randomly divided into three groups following baseline locomotor testing: motor imagery training, physical training, …
Neuromusculoskeletal models based on the muscle synergy hypothesis for the investigation of adaptive motor control in locomotion via sensory-motor coordination.
Aoi S, Funato T. Aoi S, et al. Neurosci Res. 2016 Mar;104:88-95. doi: 10.1016/j.neures.2015.11.005. Epub 2015 Nov 23. Neurosci Res. 2016. PMID: 26616311 Free article. Review.
However, it remains unclear how the neural system controls such muscle groups and basic patterns through neuromechanical interactions in order to achieve adaptive locomotor behavior. This paper reviews simulation studies that explored adaptive motor control i …
However, it remains unclear how the neural system controls such muscle groups and basic patterns through neuromechanical inter …
Block-based robust control of stepping using intraspinal microstimulation.
Rouhani E, Erfanian A. Rouhani E, et al. J Neural Eng. 2018 Aug;15(4):046026. doi: 10.1088/1741-2552/aac4b8. Epub 2018 May 15. J Neural Eng. 2018. PMID: 29761788
APPROACH: The control framework is based on an adaptive fuzzy terminal sliding mode control. The biggest advantage of the controller is the fast convergence compared to the conventional sliding mode control. ...SIGNIFICANCE: The results of the current …
APPROACH: The control framework is based on an adaptive fuzzy terminal sliding mode control. The biggest advantage of the c
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