Neural encoding of task-dependent errors during adaptive learning

  1. Chang-Hao Kao  Is a corresponding author
  2. Sangil Lee
  3. Joshua I Gold
  4. Joseph W Kable  Is a corresponding author
  1. University of Pennsylvania, United States

Abstract

Effective learning requires using errors in a task-dependent manner, for example adjusting to errors that result from unpredicted environmental changes but ignoring errors that result from environmental stochasticity. Where and how the brain represents errors in a task-dependent manner and uses them to guide behavior are not well understood. We imaged the brains of human participants performing a predictive-inference task with two conditions that had different sources of errors. Their performance was sensitive to this difference, including more choice switches after fundamental changes versus stochastic fluctuations in reward contingencies. Using multi-voxel pattern classification, we identified task-dependent representations of error magnitude and past errors in posterior parietal cortex. These representations were distinct from representations of the resulting behavioral adjustments in dorsomedial frontal, anterior cingulate, and orbitofrontal cortex. The results provide new insights into how the human brain represents errors in a task-dependent manner and guides subsequent adaptive behavior.

Data availability

The fMRI dataset has been made available at OpenNeuro under the accession ds003170. Codes and behavioral dataset are available at Github (https://github.com/changhaokao/mvpa_changepoint_fmri).

The following data sets were generated

Article and author information

Author details

  1. Chang-Hao Kao

    Department of Psychology, University of Pennsylvania, Philadelphia, United States
    For correspondence
    chakao@sas.upenn.edu
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-2928-302X
  2. Sangil Lee

    Department of Psychology, University of Pennsylvania, Philadelphia, United States
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4443-9926
  3. Joshua I Gold

    Department of Neuroscience, University of Pennsylvania, Philadelphia, United States
    Competing interests
    Joshua I Gold, Senior editor, eLife.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-6018-0483
  4. Joseph W Kable

    Department of Psychology, University of Pennsylvania, Philadelphia, United States
    For correspondence
    kable@psych.upenn.edu
    Competing interests
    No competing interests declared.

Funding

National Institute of Mental Health (R01-MH098899)

  • Joshua I Gold
  • Joseph W Kable

National Science Foundation (1533623)

  • Joshua I Gold
  • Joseph W Kable

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Ethics

Human subjects: All procedures were approved by University of Pennsylvania Internal Review Board. All participants provided informed consent before the experiment. (IRB Protocol # 816727).

Copyright

© 2020, Kao et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 1,466
    views
  • 186
    downloads
  • 5
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Chang-Hao Kao
  2. Sangil Lee
  3. Joshua I Gold
  4. Joseph W Kable
(2020)
Neural encoding of task-dependent errors during adaptive learning
eLife 9:e58809.
https://doi.org/10.7554/eLife.58809

Share this article

https://doi.org/10.7554/eLife.58809

Further reading

    1. Neuroscience
    Vincent Huson, Wade G Regehr
    Research Article

    Unipolar brush cells (UBCs) are excitatory interneurons in the cerebellar cortex that receive mossy fiber (MF) inputs and excite granule cells. The UBC population responds to brief burst activation of MFs with a continuum of temporal transformations, but it is not known how UBCs transform the diverse range of MF input patterns that occur in vivo. Here, we use cell-attached recordings from UBCs in acute cerebellar slices to examine responses to MF firing patterns that are based on in vivo recordings. We find that MFs evoke a continuum of responses in the UBC population, mediated by three different types of glutamate receptors that each convey a specialized component. AMPARs transmit timing information for single stimuli at up to 5 spikes/s, and for very brief bursts. A combination of mGluR2/3s (inhibitory) and mGluR1s (excitatory) mediates a continuum of delayed, and broadened responses to longer bursts, and to sustained high frequency activation. Variability in the mGluR2/3 component controls the time course of the onset of firing, and variability in the mGluR1 component controls the duration of prolonged firing. We conclude that the combination of glutamate receptor types allows each UBC to simultaneously convey different aspects of MF firing. These findings establish that UBCs are highly flexible circuit elements that provide diverse temporal transformations that are well suited to contribute to specialized processing in different regions of the cerebellar cortex.

    1. Neuroscience
    Nico A Flierman, Sue Ann Koay ... Chris I De Zeeuw
    Research Article

    The role of cerebellum in controlling eye movements is well established, but its contribution to more complex forms of visual behavior has remained elusive. To study cerebellar activity during visual attention we recorded extracellular activity of dentate nucleus (DN) neurons in two non-human primates (NHPs). NHPs were trained to read the direction indicated by a peripheral visual stimulus while maintaining fixation at the center, and report the direction of the cue by performing a saccadic eye movement into the same direction following a delay. We found that single-unit DN neurons modulated spiking activity over the entire time course of the task, and that their activity often bridged temporally separated intra-trial events, yet in a heterogeneous manner. To better understand the heterogeneous relationship between task structure, behavioral performance, and neural dynamics, we constructed a behavioral, an encoding, and a decoding model. Both NHPs showed different behavioral strategies, which influenced the performance. Activity of the DN neurons reflected the unique strategies, with the direction of the visual stimulus frequently being encoded long before an upcoming saccade. Moreover, the latency of the ramping activity of DN neurons following presentation of the visual stimulus was shorter in the better performing NHP. Labeling with the retrograde tracer Cholera Toxin B in the recording location in the DN indicated that these neurons predominantly receive inputs from Purkinje cells in the D1 and D2 zones of the lateral cerebellum as well as neurons of the principal olive and medial pons, all regions known to connect with neurons in the prefrontal cortex contributing to planning of saccades. Together, our results highlight that DN neurons can dynamically modulate their activity during a visual attention task, comprising not only sensorimotor but also cognitive attentional components.