Prediction error and repetition suppression have distinct effects on neural representations of visual information

  1. Matthew F Tang  Is a corresponding author
  2. Cooper A Smout
  3. Ehsan Arabzadeh
  4. Jason B Mattingley
  1. The University of Queensland, Australia
  2. The Australian National University, Australia

Abstract

Predictive coding theories argue that recent experience establishes expectations in the brain that generate prediction errors when violated. Prediction errors provide a possible explanation for repetition suppression, where evoked neural activity is attenuated across repeated presentations of the same stimulus. The predictive coding account argues repetition suppression arises because repeated stimuli are expected, whereas non-repeated stimuli are unexpected and thus elicit larger neural responses. Here we employed electroencephalography in humans to test the predictive coding account of repetition suppression by presenting sequences of visual gratings with orientations that were expected either to repeat or change in separate blocks of trials. We applied multivariate forward modelling to determine how orientation selectivity was affected by repetition and prediction. Unexpected stimuli were associated with significantly enhanced orientation selectivity, whereas selectivity was unaffected for repeated stimuli. Our results suggest that repetition suppression and expectation have separable effects on neural representations of visual feature information.

Data availability

The EEG data have been deposited on Dryad 10.5061/dryad.3d7kq

The following data sets were generated

Article and author information

Author details

  1. Matthew F Tang

    Queensland Brain Institute, The University of Queensland, St Lucia, Australia
    For correspondence
    m.tang1@uq.edu.au
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-5858-5126
  2. Cooper A Smout

    Queensland Brain Institute, The University of Queensland, St Lucia, Australia
    Competing interests
    The authors declare that no competing interests exist.
  3. Ehsan Arabzadeh

    Eccles Institute of Neuroscience, The Australian National University, Canberra, Australia
    Competing interests
    The authors declare that no competing interests exist.
  4. Jason B Mattingley

    Queensland Brain Institute, The University of Queensland, St Lucia, Australia
    Competing interests
    The authors declare that no competing interests exist.

Funding

Australian Research Council (CE140100007)

  • Ehsan Arabzadeh
  • Jason B Mattingley

Australian Research Council (DP170100908)

  • Ehsan Arabzadeh

Australian Research Council (FL110100103)

  • Jason B Mattingley

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

Ethics

Human subjects: Each participant provided written informed consent prior to participation. The study was approved by The University of Queensland Human Research Ethics Committee (approval number 2012000392) and was in accordance with the Declaration of Helsinki

Copyright

© 2018, Tang 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

  • 3,723
    views
  • 499
    downloads
  • 50
    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. Matthew F Tang
  2. Cooper A Smout
  3. Ehsan Arabzadeh
  4. Jason B Mattingley
(2018)
Prediction error and repetition suppression have distinct effects on neural representations of visual information
eLife 7:e33123.
https://doi.org/10.7554/eLife.33123

Share this article

https://doi.org/10.7554/eLife.33123

Further reading

    1. Neuroscience
    Hohyun Cho, Markus Adamek ... Peter Brunner
    Tools and Resources

    Determining the presence and frequency of neural oscillations is essential to understanding dynamic brain function. Traditional methods that detect peaks over 1/f noise within the power spectrum fail to distinguish between the fundamental frequency and harmonics of often highly non-sinusoidal neural oscillations. To overcome this limitation, we define fundamental criteria that characterize neural oscillations and introduce the cyclic homogeneous oscillation (CHO) detection method. We implemented these criteria based on an autocorrelation approach to determine an oscillation’s fundamental frequency. We evaluated CHO by verifying its performance on simulated non-sinusoidal oscillatory bursts and validated its ability to determine the fundamental frequency of neural oscillations in electrocorticographic (ECoG), electroencephalographic (EEG), and stereoelectroencephalographic (SEEG) signals recorded from 27 human subjects. Our results demonstrate that CHO outperforms conventional techniques in accurately detecting oscillations. In summary, CHO demonstrates high precision and specificity in detecting neural oscillations in time and frequency domains. The method’s specificity enables the detailed study of non-sinusoidal characteristics of oscillations, such as the degree of asymmetry and waveform of an oscillation. Furthermore, CHO can be applied to identify how neural oscillations govern interactions throughout the brain and to determine oscillatory biomarkers that index abnormal brain function.

    1. Neuroscience
    Jing Li, Chao Ning ... Chuan Zhou
    Research Article

    Female sexual receptivity is essential for reproduction of a species. Neuropeptides play the main role in regulating female receptivity. However, whether neuropeptides regulate female sexual receptivity during the neurodevelopment is unknown. Here, we found the peptide hormone prothoracicotropic hormone (PTTH), which belongs to the insect PG (prothoracic gland) axis, negatively regulated virgin female receptivity through ecdysone during neurodevelopment in Drosophila melanogaster. We identified PTTH neurons as doublesex-positive neurons, they regulated virgin female receptivity before the metamorphosis during the third-instar larval stage. PTTH deletion resulted in the increased EcR-A expression in the whole newly formed prepupae. Furthermore, the ecdysone receptor EcR-A in pC1 neurons positively regulated virgin female receptivity during metamorphosis. The decreased EcR-A in pC1 neurons induced abnormal morphological development of pC1 neurons without changing neural activity. Among all subtypes of pC1 neurons, the function of EcR-A in pC1b neurons was necessary for virgin female copulation rate. These suggested that the changes of synaptic connections between pC1b and other neurons decreased female copulation rate. Moreover, female receptivity significantly decreased when the expression of PTTH receptor Torso was reduced in pC1 neurons. This suggested that PTTH not only regulates female receptivity through ecdysone but also through affecting female receptivity associated neurons directly. The PG axis has similar functional strategy as the hypothalamic–pituitary–gonadal axis in mammals to trigger the juvenile–adult transition. Our work suggests a general mechanism underlying which the neurodevelopment during maturation regulates female sexual receptivity.