Directional tuning profiles of motor cortical cells

Bagrat Amirikian, Apostolos P Georgopoulos

Research output: Contribution to journalArticlepeer-review

106 Scopus citations

Abstract

The directional tuning profiles of motor cortical cells are commonly described by a cosine tuning function with three adjustable parameters (Georgopoulos, A.P., Kalaska, J.F., Crutcher, M.D., Caminiti, R., Massey, J.T., 1982. On the relations between the direction of two-dimensional (2D) arm movements and cell discharge in primate motor cortex. J. Neurosci. 2, 1527-1537). In this study the variation in the shape of the directional tuning profiles among a population of cells recorded from the arm area of the motor cortex of monkeys using movements in 20 directions, every 18°, was examined systematically. This allowed the investigation of tuning functions with extra parameters to capture additional features of the tuning curve (i.e. tuning breadth, symmetry, and modality) and determine an 'optimal' tuning function. These functions provided better fit than the standard cosine one. The optimal function for the large majority of tuned cells was unimodal (84%), and only for a few of them (16%) it was bimodal. Of the unimodal cells, 73% exhibited symmetric and 27% asymmetric shape. The half-width, σ, at the midpoint of optimal tuning curves differed among cells from 30 to 90°, with a median at 56°. This is much narrower than in the standard cosine tuning function with a fixed width of σ = 90°. It was concluded that motor cortical cells are more sharply tuned than previously thought. (C) 2000 Elsevier Science Ireland Ltd.

Original languageEnglish (US)
Pages (from-to)73-79
Number of pages7
JournalNeuroscience Research
Volume36
Issue number1
DOIs
StatePublished - Jan 2000

Bibliographical note

Funding Information:
Supported by USPHS grants PSMH48185 and NS17413, the Department of Veterans Affairs, and the American Legion Brain Sciences Chair.

Keywords

  • Motor cortex
  • Reaching movement
  • Speed modulation
  • Tuning shape
  • Tuning width
  • Von Mises distribution

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