Octopus Motor Control

Author(s):  
Nir Nesher ◽  
Guy Levy ◽  
Letizia Zullo ◽  
Benyamin Hochner

The octopus, with its eight long and flexible arms, is an excellent example of the independent evolution of highly efficient motor behavior in a soft-bodied animal. Studies will be summarized to show that the amazing behavioral motor abilities of the octopus are achieved through a special embodied organization of its flexible body, unusual morphology, and a unique central and peripheral distribution of its extremely large nervous system. This special embodied organization of brain–body–environment reciprocal interactions makes it possible to overcome the difficulties involved in generation and control of movement in an animal, which unlike vertebrates and arthropods lacks rigid skeletal appendages.

2012 ◽  
Vol 107 (9) ◽  
pp. 2442-2452 ◽  
Author(s):  
Husam A. Katnani ◽  
A. J. Van Opstal ◽  
Neeraj J. Gandhi

Population coding is a ubiquitous principle in the nervous system for the proper control of motor behavior. A significant amount of research is dedicated to studying population activity in the superior colliculus (SC) to investigate the motor control of saccadic eye movements. Vector summation with saturation (VSS) has been proposed as a mechanism for how population activity in the SC can be decoded to generate saccades. Interestingly, the model produces different predictions when decoding two simultaneous populations at high vs. low levels of activity. We tested these predictions by generating two simultaneous populations in the SC with high or low levels of dual microstimulation. We also combined varying levels of stimulation with visually induced activity. We found that our results did not perfectly conform to the predictions of the VSS scheme and conclude that the simplest implementation of the model is incomplete. We propose that additional parameters to the model might account for the results of this investigation.


1986 ◽  
Vol 9 (4) ◽  
pp. 585-599 ◽  
Author(s):  
M. B. Berkinblit ◽  
A. G. Feldman ◽  
O. I. Fukson

AbstractThe following factors underlying behavioral plasticity are discussed: (1) reflex adaptability and its role in the voluntary control of movement, (2) degrees of freedom and motor equivalence, and (3) the problem of the discrete organization of motor behavior. Our discussion concerns a variety of innate motor patterns, with emphasis on the wiping reflex in the frog.It is proposed that central regulation of stretch reflex thresholds governs voluntary control over muscle force and length. This suggestion is an integral part of the equilibrium-point hypothesis, two versions of which are compared.Kinematic analysis of the wiping reflex in the spinal frog has shown that each stimulated skin site is associated with a group of different but equally effective trajectories directed to the target site. Such phenomena reflect the principle of motor equivalence -the capacity of the neuronal structures responsible for movement to select one or another of a set of possible trajectories leading to the goal. Redundancy of degrees of freedom at the neuronal level as well as at the mechanical level of the body's joints makes motor equivalence possible. This sort of equivalence accommodates the overall flexibility of motor behavior.An integrated behavioral act or a single movement consists of dynamic components. We distinguish six components for the wiping reflex, each associated with a certain functional goal, specific body positions, and motor-equivalent movement patterns. The nervous system can combine the available components in various ways in forming integrated behavioral sequences. The significance of command neuronal organization is discussed with respect to (1) the combinatory strategy of the nervous system and (2) the relation between continuous and discrete forms of motor control. We conclude that voluntary movements are effected by the central nervous system with the help of the mechanisms that underlie the variability and modifiability of innate motor patterns.


1996 ◽  
Vol 19 (1) ◽  
pp. 90-91
Author(s):  
Michael G. Wade ◽  
Jinhua Guan

AbstractThe target article pays insufficient attention to (1) the difficulties that arise when the term “normal” is used to describe motor skill behavior, and (2) the need to resist ascribing motor control to an intelligent central nervous system. A complex systems perspective is proposed with attractor states and periodicity identified as markers of atypical coordination and control.


2020 ◽  
Author(s):  
Seth W. Egger ◽  
Stephen G. Lisberger

ABSTRACTWe seek to understand the neural mechanisms that perform sensory decoding for motor behavior, advancing the field by designing decoders based on neural circuits. A simple experiment produced a surprising result that shapes our approach. Changing the size of a target for smooth pursuit eye movements changes the relationship between the variance and mean of the evoked behavior in a way that contradicts the regime of “signal-dependent noise” and defies traditional decoding approaches. A theoretical analysis leads us to conclude that sensory decoding circuits for pursuit include multiple parallel pathways and multiple sources of variation. Behavioral and neural responses with biomimetic statistics emerge from a biologically-motivated circuit model with noise in the pathway that is dedicated to flexibly adjusting the strength of visual-motor transmission. Flexible adjustment of transmission strength applies much more broadly to issues in sensory-motor control such as Bayesian integration and control strategies to optimize motor behavior.


2015 ◽  
Author(s):  
Donna H. Krasnow ◽  
M. Virginia Wilmerding

As dance training evolves and becomes more complex, knowledge of motor behavior is foundational in helping dancers learn and master new skills and become more efficient in integrating the skills. Motor Learning and Control for Dance is the first resource to address motor learning theory from a dance perspective. Educators and students preparing to teach will learn practical ways to connect the science behind dance to pedagogy in order to prepare dancers for performance. Dancers interested in performance from the recreational to professional levels will learn ways to enhance their technical and artistic progress. In language accessible even to those with no science background, Motor Learning and Control for Dance showcases principles and practices for students, artists, and teachers. The text offers a perspective on movement education not found in traditional dance training while adding to a palette of tools and strategies for improving dance instruction and performance. Aspiring dancers and instructors will explore how to develop motor skills, how to control movement on all levels, and—most important—how motor skills are best taught and learned. The authors, noted experts on motor learning and motor control in the dance world, explore these features that appeal to students and instructors alike: • Dance-specific photos, examples, and figures illustrate how to solve common problems various dance genres. • The 16 chapters prepare dance educators to teach dancers of all ages and abilities and support the development of dance artists and students in training and performance. • An extensive bibliography of sports and dance science literature allows teachers and performers to do their own research. • A list of key terms is at the beginning of each chapter with an accompanying glossary at the back of the book. Part I presents an overview of motor behavior, covering motor development from birth to early adulthood. It provides the essential information for teaching posture control and balance, the locomotor skills underlying a range of complex dance skills, and the ballistic skills that are difficult to teach and learn, such as grand battement and movements in street dance. Part II explores motor control and how movement is planned, initiated, and executed. Readers will learn how the nervous system organizes the coordination of movement, the effects of anxiety and states of arousal on dance performance, how to integrate the senses into movement, and how speed and accuracy interact. Part III investigates methods of motor learning for dancers of all ages. Readers will explore how to implement a variety of instructional strategies, determine the best approaches for learning dance skills, and motivate and inspire dancers. This section also discusses how various methods of practice can help or hinder dancers, strategies for improving the recall of dance skills and sequences, and how to embrace somatic practice and its contribution to understanding imagery and motor learning. Motor Learning and Control for Dance addresses many related topics that are important to the discipline, such as imagery and improvisation. This book will help performers and teachers blend science with pedagogy to meet the challenge of artistry and technique in preparing for dance performaance.


2006 ◽  
Vol 37 (01) ◽  
Author(s):  
F Hummel ◽  
F Hummel ◽  
P Sauseng ◽  
J Hoppe ◽  
W Klimesch ◽  
...  
Keyword(s):  

The control of movement is essential for animals traversing complex environments and operating across a range of speeds and gaits. We consider how animals process sensory information and initiate motor responses, primarily focusing on simple motor responses that involve local reflex pathways of feedback and control, rather than the more complex, longer-term responses that require the broader integration of higher centers within the nervous system. We explore how local circuits facilitate decentralized coordination of locomotor rhythm and examine the fundamentals of sensory receptors located in the muscles, tendons, joints, and at the animal’s body surface. These sensors monitor the animal’s physical environment and the action of its muscles. The sensory information is then carried back to the animal’s nervous system by afferent neurons, providing feedback that is integrated at the level of the spinal cord of vertebrates and sensory-motor ganglia of invertebrates.


Author(s):  
Joseph Ayers

This chapter describes how synthetic biology and organic electronics can integrate neurobiology and robotics to form a basis for biohybrid robots and synthetic neuroethology. Biomimetic robots capture the performance advantages of animal models by mimicking the behavioral control schemes evolved in nature, based on modularized devices that capture the biomechanics and control principles of the nervous system. However, current robots are blind to chemical senses, difficult to miniaturize, and require chemical batteries. These obstacles can be overcome by integration of living engineered cells. Synthetic biology seeks to build devices and systems from fungible gene parts (gene systems coding different proteins) integrated into a chassis (induced pluripotent eukaryotic cells, yeast, or bacteria) to produce devices with properties not found in nature. Biohybrid robots are examples of such systems (interacting sets of devices). A nascent literature describes genes that can mediate organ levels of organization. Such capabilities, applied to biohybrid systems, portend truly biological robots guided, controlled, and actuated solely by life processes.


2000 ◽  
Vol 279 (6) ◽  
pp. H2786-H2796 ◽  
Author(s):  
Shaohua Ye ◽  
Pantea Mozayeni ◽  
Michael Gamburd ◽  
Huiqin Zhong ◽  
Vito M. Campese

Increased sympathetic nervous system (SNS) activity plays a role in the genesis of hypertension in rats with chronic renal failure (CRF). The rise in central SNS activity is mitigated by increased local expression of neuronal nitric oxide synthase (NOS) mRNA and NO2/NO3 production. Because interleukin (IL)-1β may activate nitric oxide in the brain, we have tested the hypothesis that IL-1β may modulate the activity of the SNS via regulation of the local expression of neuronal NOS (nNOS) in the brain of CRF and control rats. To this end, we first found that administration of IL-1β in the lateral ventricle of control and CRF rats decreased blood pressure and norepinephrine (NE) secretion from the posterior hypothalamus (PH) and increased NOS mRNA expression. Second, we observed that an acute or chronic injection of an IL-1β-specific antibody in the lateral ventricle raised blood pressure and NE secretion from the PH and decreased NOS mRNA abundance in the PH of control and CRF rats. Finally, we measured the IL-1β mRNA abundance in the PH, locus coeruleus, and paraventricular nuclei of CRF and control rats by RT-PCR and found it to be greater in CRF rats than in control rats. In conclusion, these studies have shown that IL-1β modulates the activity of the SNS in the central nervous system and that this modulation is mediated by increased local expression of nNOS mRNA.


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