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
The receptive field is dead. Long live the receptive field
TL;DR: Advances in experimental techniques, including behavioral paradigms using rich stimuli under closed loop conditions and the interfacing of neural systems with external inputs and outputs, reveal complex dynamics in the neural code and require a revisiting of standard concepts of representation.
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Cortico-cerebellar interactions during goal-directed behavior.
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Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs
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Coding with transient trajectories in recurrent neural networks
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References
Neuronal ensemble control of prosthetic devices by a human with tetraplegia
Leigh R. Hochberg,Leigh R. Hochberg,Mijail D. Serruya,Gerhard Friehs,Gerhard Friehs,Jon A. Mukand,Jon A. Mukand,Maryam Saleh,Abraham H. Caplan,Almut Branner,David Chen,Richard D. Penn,John P. Donoghue +12 more
TL;DR: Initial results for a tetraplegic human using a pilot NMP suggest that NMPs based upon intracortical neuronal ensemble spiking activity could provide a valuable new neurotechnology to restore independence for humans with paralysis.
3.4K
Neuronal Population Coding of Movement Direction
TL;DR: The direction of movement was found to be uniquely predicted by the action of a population of motor cortical neurons that can be monitored during various tasks, and similar measures in other neuronal populations could be of heuristic value where there is a neural representation of variables with vectorial attributes.
3.3K
Optimal feedback control as a theory of motor coordination.
TL;DR: This work shows that the optimal strategy in the face of uncertainty is to allow variability in redundant (task-irrelevant) dimensions, and proposes an alternative theory based on stochastic optimal feedback control, which emerges naturally from this framework.
Noise in the nervous system.
TL;DR: How noise affects neuronal networks and the principles the nervous system applies to counter detrimental effects of noise are highlighted, and noise's potential benefits are discussed.
Reach and grasp by people with tetraplegia using a neurally controlled robotic arm
Leigh R. Hochberg,Daniel Bacher,Beata Jarosiewicz,Beata Jarosiewicz,Nicolas Y. Masse,John D. Simeral,John D. Simeral,John D. Simeral,Joern Vogel,Sami Haddadin,Jie Liu,Jie Liu,Sydney S. Cash,Patrick van der Smagt,John P. Donoghue,John P. Donoghue +15 more
TL;DR: The results demonstrate the feasibility for people with tetraplegia, years after injury to the central nervous system, to recreate useful multidimensional control of complex devices directly from a small sample of neural signals.