1. Neuroscience
Download icon

A Bayesian and efficient observer model explains concurrent attractive and repulsive history biases in visual perception

  1. Matthias Fritsche  Is a corresponding author
  2. Eelke Spaak
  3. Floris P de Lange
  1. Radboud University, Netherlands
Research Article
  • Cited 4
  • Views 1,467
  • Annotations
Cite this article as: eLife 2020;9:e55389 doi: 10.7554/eLife.55389

Abstract

Human perceptual decisions can be repelled away from (repulsive adaptation) or attracted towards recent visual experience (attractive serial dependence). It is currently unclear whether and how these repulsive and attractive biases interact during visual processing and what computational principles underlie these history dependencies. Here we disentangle repulsive and attractive biases by exploring their respective timescales. We find that perceptual decisions are concurrently attracted towards the short-term perceptual history and repelled from stimuli experienced up to minutes into the past. The temporal pattern of short-term attraction and long-term repulsion cannot be captured by an ideal Bayesian observer model alone. Instead, it is well captured by an ideal observer model with efficient encoding and Bayesian decoding of visual information in a slowly changing environment. Concurrent attractive and repulsive history biases in perceptual decisions may thus be the consequence of the need for visual processing to simultaneously satisfy constraints of efficiency and stability.

Data availability

All data and code are openly available on the Donders Institute for Brain, Cognition and Behavior repository at http://hdl.handle.net/11633/aac4scwf.

The following previously published data sets were used

Article and author information

Author details

  1. Matthias Fritsche

    Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
    For correspondence
    m.fritsche@donders.ru.nl
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-5835-9057
  2. Eelke Spaak

    Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-2018-3364
  3. Floris P de Lange

    Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
    Competing interests
    Floris P de Lange, Senior editor, eLife.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-6730-1452

Funding

H2020 European Research Council (ERC Starting Grant 678286,'Contextvision')

  • Matthias Fritsche
  • Floris P de Lange

Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO Veni grant 016.Veni.198.065)

  • Eelke Spaak

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

Ethics

Human subjects: The study followed institutional guidelines of the local ethics committee (CMO region Arnhem-Nijmegen, The Netherlands; Protocol CMO2014/288), including informed consent of all participants.

Reviewing Editor

  1. John T Serences, University of California, San Diego, United States

Publication history

  1. Received: January 22, 2020
  2. Accepted: May 29, 2020
  3. Accepted Manuscript published: June 1, 2020 (version 1)
  4. Version of Record published: June 10, 2020 (version 2)

Copyright

© 2020, Fritsche 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

  • 1,467
    Page views
  • 238
    Downloads
  • 4
    Citations

Article citation count generated by polling the highest count across the following sources: Crossref, PubMed Central, Scopus.

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)

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

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

Further reading

    1. Neuroscience
    Yu Takagi et al.
    Research Article

    Choices rely on a transformation of sensory inputs into motor responses. Using invasive single neuron recordings, the evolution of a choice process has been tracked by projecting population neural responses into state spaces. Here we develop an approach that allows us to recover similar trajectories on a millisecond timescale in non-invasive human recordings. We selectively suppress activity related to three task-axes, relevant and irrelevant sensory inputs and response direction in magnetoencephalography data acquired during context-dependent choices. Recordings from premotor cortex show a progression from processing sensory input to processing the response. In contrast to previous macaque recordings, information related to choice-irrelevant features is represented more weakly than choice-relevant sensory information. To test whether this mechanistic difference between species is caused by extensive overtraining common in non-human primate studies, we trained humans on >20,000 trials of the task. Choice-irrelevant features were still weaker than relevant features in premotor cortex after overtraining.

    1. Cell Biology
    2. Neuroscience
    Vladimir Zhemkov et al.
    Research Article

    Sigma 1 receptor (S1R) is a 223-amino-acid-long transmembrane endoplasmic reticulum (ER) protein. S1R modulates activity of multiple effector proteins and is a well-established drug target. However, signaling functions of S1R in cells are poorly understood. Here, we test the hypothesis that biological activity of S1R in cells can be explained by its ability to interact with cholesterol and to form cholesterol-enriched microdomains in the ER membrane. By performing experiments in reduced reconstitution systems, we demonstrate direct effects of cholesterol on S1R clustering. We identify a novel cholesterol-binding motif in the transmembrane region of human S1R. Mutations of this motif impair association of recombinant S1R with cholesterol beads, affect S1R clustering in vitro and disrupt S1R subcellular localization. We demonstrate that S1R-induced membrane microdomains have increased local membrane thickness and that increased local cholesterol concentration and/or membrane thickness in these microdomains can modulate signaling of inositol-requiring enzyme 1α in the ER. Further, S1R agonists cause disruption of S1R clusters, suggesting that biological activity of S1R agonists is linked to remodeling of ER membrane microdomains. Our results provide novel insights into S1R-mediated signaling mechanisms in cells.