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Processing of Multi-dimensional Sensorimotor Information in the Spinal and Cerebellar Neuronal Circuitry: A New Hypothesis
- Source :
- PLoS Computational Biology, Vol 9, Iss 3, p e1002979 (2013), PLoS Computational Biology
- Publication Year :
- 2013
- Publisher :
- Public Library of Science (PLoS), 2013.
-
Abstract
- Why are sensory signals and motor command signals combined in the neurons of origin of the spinocerebellar pathways and why are the granule cells that receive this input thresholded with respect to their spike output? In this paper, we synthesize a number of findings into a new hypothesis for how the spinocerebellar systems and the cerebellar cortex can interact to support coordination of our multi-segmented limbs and bodies. A central idea is that recombination of the signals available to the spinocerebellar neurons can be used to approximate a wide array of functions including the spatial and temporal dependencies between limb segments, i.e. information that is necessary in order to achieve coordination. We find that random recombination of sensory and motor signals is not a good strategy since, surprisingly, the number of granule cells severely limits the number of recombinations that can be represented within the cerebellum. Instead, we propose that the spinal circuitry provides useful recombinations, which can be described as linear projections through aspects of the multi-dimensional sensorimotor input space. Granule cells, potentially with the aid of differentiated thresholding from Golgi cells, enhance the utility of these projections by allowing the Purkinje cell to establish piecewise-linear approximations of non-linear functions. Our hypothesis provides a novel view on the function of the spinal circuitry and cerebellar granule layer, illustrating how the coordinating functions of the cerebellum can be crucially supported by the recombinations performed by the neurons of the spinocerebellar systems.<br />Author Summary The movement control of the brain excels in the seamless coordination of our multi-segmented limbs and bodies and in this respect the brain widely outperforms the most advanced technical systems. So far, however, there is little knowledge about the neuronal circuitry mechanisms by which this coordination could be achieved. The present paper makes a synthesis of some recent findings of cerebellar neuronal circuitry functions and spinocerebellar systems to introduce a novel hypothesis of how the cerebellar and spinal cord neuronal networks together establish signals that form a basis for coordination control in the mammalian central nervous system. The hypothesis takes into account some recent, surprising findings about cerebellar granule cell function and explains some long-standing enigmas concerning the structure of and information mediated by the spinocerebellar pathways. It describes some interesting parallels between the spinocerebellar network and Artificial Neural Networks (ANNs), and capitalizes on some of the major conclusions from ANN studies to explain the biological observations.
- Subjects :
- Cerebellum
Purkinje cell
Purkinje Cells
Learning and Memory
Nerve Fibers
0302 clinical medicine
lcsh:QH301-705.5
Mammals
0303 health sciences
Ecology
Artificial neural network
Anatomy
Thresholding
Sensory Systems
medicine.anatomical_structure
Computational Theory and Mathematics
Modeling and Simulation
Cerebellar cortex
Spinocerebellar Tracts
Algorithms
Research Article
Neural Networks
Models, Neurological
Neurophysiology
Sensory system
Biology
Neuronal circuitry
Cerebellar Cortex
03 medical and health sciences
Cellular and Molecular Neuroscience
Genetics
medicine
Animals
Humans
Molecular Biology
Ecology, Evolution, Behavior and Systematics
030304 developmental biology
Computational Neuroscience
Motor Systems
Spinocerebellar tract
Computational Biology
Spine
Neuroanatomy
Nonlinear Dynamics
lcsh:Biology (General)
nervous system
Cellular Neuroscience
Neural Networks, Computer
Neuroscience
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 15537358
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- PLoS Computational Biology
- Accession number :
- edsair.doi.dedup.....9bc2c68b06250baded4532d2535b1d9b