Cited by 95Motor Control and AdaptationMemory and Neural MechanismsVestibular and auditory disorders

Predictive and feedback performance errors are signaled in the simple spike discharge of individual Purkinje cells

Open access
Popa, Laurentiu S., Hewitt, Angela L., Ebner, Timothy J.·2012·The Journal of Neuroscience

Abstract

The cerebellum has been implicated in processing motor errors required for on-line control of movement and motor learning. The dominant view is that Purkinje cell complex spike discharge signals motor errors. This study investigated whether errors are encoded in the simple spike discharge of Purkinje cells in monkeys trained to manually track a pseudorandomly moving target. Four task error signals were evaluated based on cursor movement relative to target movement. Linear regression analyses based on firing residuals ensured that the modulation with a specific error parameter was independent of the other error parameters and kinematics. The results demonstrate that simple spike firing in lobules IV–VI is significantly correlated with position, distance, and directional errors. Independent of the error signals, the same Purkinje cells encode kinematics. The strongest error modulation occurs at feedback timing. However, in 72% of cells at least one of the R 2 temporal profiles resulting from regressing firing with individual errors exhibit two peak R 2 values. For these bimodal profiles, the first peak is at a negative τ (lead) and a second peak at a positive τ (lag), implying that Purkinje cells encode both prediction and feedback about an error. For the majority of the bimodal profiles, the signs of the regression coefficients or preferred directions reverse at the times of the peaks. The sign reversal results in opposing simple spike modulation for the predictive and feedback components. Dual error representations may provide the signals needed to generate sensory prediction errors used to update a forward internal model.

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Crossref · 10.1523/jneurosci.2151-12.2012

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  • SS dual representations of individual error parameters, including a pair of predictive and feedback signals with opposing modulations, are ubiquitous in the Purkinje cell population.

    “the SS dual representations of individual error parameters, including a pair of predictive and feedback signals with opposing modulations, are ubiquitous in the Purkinje cells population (Popa et al., 2012).”

    From Cerebellum, Predictions and Errors (2019) · cites this paper as Popa et al., 2012

    The Discussion (“Dual representations of individual error parameters”) reports predictive and feedback peaks in at least one error profile for 70% of Purkinje cells, with opposing simple-spike modulation in the majority of those dual representations. This supports the phenomenon but not the claim that signals with opposing modulations are ubiquitous across the Purkinje cell population. (LLM, conf=0.90)

    Experimental — accuracy not yet measured
  • There is no segregation of Purkinje cells into error or kinematic subpopulations.

    “Also, there is no segregation of Purkinje cells into error or kinematic subpopulations, showing that the integration of the task errors and kinematics occurs at the individual cell level (Popa et al., 2012).”

    From Cerebellum, Predictions and Errors (2019) · cites this paper as Popa et al., 2012

  • Integration of task errors and kinematics occurs at the individual cell level.

    “Also, there is no segregation of Purkinje cells into error or kinematic subpopulations, showing that the integration of the task errors and kinematics occurs at the individual cell level (Popa et al., 2012).”

    From Cerebellum, Predictions and Errors (2019) · cites this paper as Popa et al., 2012

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Research works printed but not linked: 2

  1. Robinson DA Bachyrita P Lennerstrand G 1975 Oculomotor control signals Basic Mechanisms of Ocular Motility and Their Clinical Implications 337 374 Oxford, UK Pergamon
  2. Zar JH 1999 Biostatistical Analysis Upper Saddle River, NJ Prentice Hall

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Authors
Popa, L. S., Hewitt, A. L., & Ebner, T. J.
Affiliations
University of Minnesota (US)
Venue
The Journal of Neuroscience
Published
2012-10-31
Volume
32
Issue
44
Pages
15345-15358
ISSN
  • 0270-6474 (ISSN-L)
  • 1529-2401
OpenAlex
W1987501357
Cited by
95
References
82
Citations by year
2026: 4 · 2025: 3 · 2024: 7 · 2023: 4 · 2022: 5 · 2021: 9 · 2020: 9 · 2019: 9 · 2018: 10 · 2017: 6 · 2016: 6 · 2015: 12 · 2014: 6 · 2013: 5
FWCI
3.76
Type
journal article
Language
en
Open access
Locations
  • Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
Funders
  • National Institutes of Health
  • National Institute of General Medical Sciences (T32GM008244, T32GM008471)
  • National Institute of Neurological Disorders and Stroke (P01NS058901, F31 NS071686, R01 NS18338-25S1, R01 NS18338, F30NS071686, R01NS018338)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
  • Life Sciences › Neuroscience › Neurology › Vestibular and auditory disorders
Keywords
Purkinje cells, cerebellum, predictive error, feedback errors, motor learning, cursor tracking, firing rate modulation, sign reversal, monkeys
MeSH terms
Algorithms, Animals, Biomechanical Phenomena, Data Interpretation, Statistical, Female, Macaca mulatta, Male, Psychomotor Performance, Purkinje Cells, Regression Analysis, Linear Models, Feedback, Psychological, Electrophysiological Phenomena

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