Cortical correlates of fitts' law

Peter J. Ifft, Mikhail A. Lebedev, Miguel A.L. Nicolelis

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

Fitts' law describes the fundamental trade-off between movement accuracy and speed: it states that the duration of reaching movements is a function of target size (TS) and distance. While Fitts' law has been extensively studied in ergonomics and has guided the design of human-computer interfaces, there have been few studies on its neuronal cor-relates.To elucidate sensorimotor cortical activity underlying Fitts' law, we implanted two monkeys with multielectrode arrays in the primary motor (M1) and primary somatosensory(S1) cortices.The monkeys performed reaches with a joystick-controlled cursor toward tar-gets of different size. The reaction time (RT), movement time, and movement velocity changed with TS, and M1 and S1 activity reflected these changes. Moreover, modifica-tions of cortical activity could not be explained by changes of movement parameters alone, but required TS as an additional parameter. Neuronal representation of TS was especially prominent during the early RT period where it influenced the slope of the firing rate rise preceding movement initiation. During the movement period, cortical activity was corre-lated with movement velocity. Neural decoders were applied to simultaneously decode TS and motor parameters from cortical modulations. We suggest that sensorimotor cortex activity reflects the characteristics of both the movement and the target. Classifiers that extract these parameters from cortical ensembles could improve neuroprosthetic control.

Original languageEnglish
JournalFrontiers in Integrative Neuroscience
Issue numberDECEMBER
DOIs
Publication statusPublished - Dec 2011
Externally publishedYes

Keywords

  • Brain-machine interface
  • Decision making
  • Fitts' law
  • Motor cortex
  • Neurophysiology
  • Neuroprosthetics
  • Sensorimotor transformation
  • Somatosensory cortex

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