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Neuronal Population Vector

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Encyclopedia of Computational Neuroscience

Synonym

Population vector

Definition

The neuronal population vector is the outcome of a computation by which weighted neural activities of individual elements in a population yield an estimate of the population’s functional operation.

Detailed Description

The neuronal population vector is the outcome of a computation. It requires a behavioral measure in multidimensional space, a neuronal population, and an orderly variation of neural activity of the constituent elements in the population with the behavioral measure. The computation is a weighted vectorial sum of neural activities that yields an estimate of the behavioral measure. In the original application (Georgopoulos et al. 1983), the behavioral measure was the direction of arm movement in 2-D space, the neuronal population consisted of cells recorded extracellularly in the monkey motor cortex during movements of different directions, and the orderly variation of neural activity was the directional tuningof rate of firing of...

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References

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Further Reading

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Author information

Authors and Affiliations

  1. Graduate Program in Biomedical Informatics and Computational Biology, University of Minnesota, Minneapolis, MN, 55455, USA

    Margaret Y. Mahan M.S. & Apostolos P. Georgopoulos

  2. Department of Neuroscience, University of Minnesota, Minneapolis, MN, 55455, USA

    Apostolos P. Georgopoulos

Authors
  1. Margaret Y. Mahan M.S.
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  2. Apostolos P. Georgopoulos
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Corresponding author

Correspondence to Margaret Y. Mahan M.S. .

Editor information

Editors and Affiliations

  1. Atlanta, Georgia, USA

    Dieter Jaeger

  2. Department of Biomedical Engineering, Florida International University, Miami, Florida, USA

    Ranu Jung

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Mahan, M.Y., Georgopoulos, A.P. (2014). Neuronal Population Vector. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_401-1

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  • DOI: https://doi.org/10.1007/978-1-4614-7320-6_401-1

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  • Online ISBN: 978-1-4614-7320-6

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