1. Neuroscience
Download icon

Processing of motion-boundary orientation in macaque V2

  1. Heng Ma
  2. Pengcheng Li
  3. Jiaming Hu
  4. Xingya Cai
  5. Qianling Song
  6. Haidong D Lu  Is a corresponding author
  1. Beijing Normal University, China
Research Article
  • Cited 0
  • Views 328
  • Annotations
Cite this article as: eLife 2021;10:e61317 doi: 10.7554/eLife.61317

Abstract

Human and non-human primates are good at identifying an object based on its motion, a task that is believed to be carried out by the ventral visual pathway. However, the neural mechanisms underlying such ability remains unclear. We trained macaque monkeys to do orientation discrimination for motion-boundaries (MB) and recorded neuronal response in area V2 with microelectrode arrays. We found 10.9% of V2 neurons exhibited robust orientation-selectivity to MBs, and their responses correlated with monkeys' orientation-discrimination performances. Furthermore, the responses of V2 direction-selective neurons recorded at the same time showed correlated activity with MB neurons for particular MB stimuli, suggesting that these motion-sensitive neurons made specific functional contributions to MB discrimination tasks. Our findings support the view that V2 plays a critical role in MB analysis and may achieve this through a neural circuit within area V2.

Data availability

Data and codes are available in Mendeley dataset.http://dx.doi.org/10.17632/fjy37kc8pd.3

The following data sets were generated

Article and author information

Author details

  1. Heng Ma

    State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-0322-278X
  2. Pengcheng Li

    State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
    Competing interests
    The authors declare that no competing interests exist.
  3. Jiaming Hu

    State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-5306-445X
  4. Xingya Cai

    State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-7829-3833
  5. Qianling Song

    State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-9177-7429
  6. Haidong D Lu

    State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
    For correspondence
    haidong@bnu.edu.cn
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-1739-9508

Funding

National Natural Science Foundation of China (31530029)

  • Haidong D Lu

National Natural Science Foundation of China (31625012)

  • Haidong D Lu

National Natural Science Foundation of China (31371111)

  • Haidong D Lu

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

Ethics

Animal experimentation: Four hemispheres from two adult male macaque monkeys (Macaca mulatta) were used in this study. All procedures were performed in accordance with the National Institutes of Health Guidelines and were approved by the Institutional Animal Care and Use Committee of the Beijing Normal University (protocol number: IACUC(BNU)-NKCNL2013-13).

Reviewing Editor

  1. Kristine Krug, University of Oxford, United Kingdom

Publication history

  1. Received: July 22, 2020
  2. Accepted: March 24, 2021
  3. Accepted Manuscript published: March 24, 2021 (version 1)
  4. Version of Record published: April 7, 2021 (version 2)
  5. Version of Record updated: April 13, 2021 (version 3)

Copyright

© 2021, Ma 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

  • 328
    Page views
  • 61
    Downloads
  • 0
    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
    Piotr Michaluk et al.
    Research Article

    Glutamate uptake by astroglial transporters confines excitatory transmission to the synaptic cleft. The efficiency of this mechanism depends on the transporter dynamics in the astrocyte membrane, which remains poorly understood. Here, we visualise the main glial glutamate transporter GLT1 by generating its pH-sensitive fluorescent analogue, GLT1-SEP. FRAP-based imaging shows that 70-75% of GLT1-SEP dwell on the surface of rat brain astroglia, recycling with a lifetime of ~22 s. Genetic deletion of the C-terminus accelerates GLT1-SEP membrane turnover while disrupting its surface pattern, as revealed by single-molecule localisation microscopy. Excitatory activity boosts surface mobility of GLT1-SEP, involving its C-terminus, metabotropic glutamate receptors, intracellular Ca2+ and calcineurin-phosphatase activity, but not the broad-range kinase activity. The results suggest that membrane turnover, rather than lateral diffusion, is the main 'redeployment' route for the immobile fraction (20-30%) of surface-expressed GLT1. This finding reveals an important mechanism helping to control extrasynaptic escape of glutamate.

    1. Neuroscience
    Eric Torsten Reifenstein et al.
    Research Article

    Remembering the temporal order of a sequence of events is a task easily performed by humans in everyday life, but the underlying neuronal mechanisms are unclear. This problem is particularly intriguing as human behavior often proceeds on a time scale of seconds, which is in stark contrast to the much faster millisecond time-scale of neuronal processing in our brains. One long-held hypothesis in sequence learning suggests that a particular temporal fine-structure of neuronal activity - termed 'phase precession' - enables the compression of slow behavioral sequences down to the fast time scale of the induction of synaptic plasticity. Using mathematical analysis and computer simulations, we find that - for short enough synaptic learning windows - phase precession can improve temporal-order learning tremendously and that the asymmetric part of the synaptic learning window is essential for temporal-order learning. To test these predictions, we suggest experiments that selectively alter phase precession or the learning window and evaluate memory of temporal order.