Journal Article10.1146/ANNUREV-NEURO-062111-150509
Cortical control of arm movements: a dynamical systems perspective.
TL;DR: How a dynamical systems perspective may help to understand why neural activity evolves the way it does, how neural activity relates to movement parameters, and how a unified conceptual framework may result are reviewed.
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Abstract: Our ability to move is central to everyday life Investigating the neural control of movement in general, and the cortical control of volitional arm movements in particular, has been a major research focus in recent decades Studies have involved primarily either attempts to account for single-neuron responses in terms of tuning for movement parameters or attempts to decode movement parameters from populations of tuned neurons Even though this focus on encoding and decoding has led to many seminal advances, it has not produced an agreed-upon conceptual framework Interest in understanding the underlying neural dynamics has recently increased, leading to questions such as how does the current population response determine the future population response, and to what purpose? We review how a dynamical systems perspective may help us understand why neural activity evolves the way it does, how neural activity relates to movement parameters, and how a unified conceptual framework may result
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Citations
Direct neural perturbations reveal a dynamical mechanism for robust computation
Daniel J. O’Shea,Lea Duncker,Werapong Goo,Xulu Sun,Saurabh Vyas,Eric M. Trautmann,Ilka Diester,Charu Ramakrishnan,Karl Deisseroth,Maneesh Sahani,Krishna V. Shenoy +10 more
TL;DR: In this article , an analytic approach was developed that relates measured activity to theoretically tractable, dynamical models of excitatory and inhibitory neurons and demonstrated that motor cortical activity during reaching is shaped by a self-contained, low-dimensional dynamical system.
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Edging toward Entelechy in Motor Control
TL;DR: It is made a case that a new focus on the intersection of cortical and spinal circuits may provide clarity to the interpretation of corticospinal motor neuron firing patterns and help specify the logic of cortiospinalMotor neuronal function.
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Neural coding of intended and executed grasp force in macaque areas AIP, F5, and M1
TL;DR: An important role is suggested of the cortical areas AIP, F5, and M1 in coding grasp force during movement execution as well as of F5 for coding intended grasp force.
Ipsilateral-Dominant Control of Limb Movements in Rodent Posterior Parietal Cortex.
Shogo Soma,Junichi Yoshida,Shigeki Kato,Yukari Takahashi,Satoshi Nonomura,Yae K. Sugimura,Alain Ríos,Masanori Kawabata,Kazuto Kobayashi,Fusao Kato,Yutaka Sakai,Yoshikazu Isomura +11 more
TL;DR: Functional spike activity of the PPC and two motor cortices in rats when head-fixed male rats performed right or left unilateral movements was examined, suggesting rodent PPC contributes to ipsilaterally biased motor response and/or planning.
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A Dynamical Basis Set for Generating Reaches
TL;DR: An alternative simplified model is discussed, in which outgoing commands are produced by dynamics that generate different output patterns as a function of the initial preparatory state, and the predictions of the dynamical model match the data well at both the single-neuron and population levels.
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