Functional cell types in the mouse superior colliculus

  1. Ya-tang Li  Is a corresponding author
  2. Markus Meister  Is a corresponding author
  1. Chinese Institute for Brain Research, China
  2. California Institute of Technology, United States

Abstract

The superior colliculus (SC) represents a major visual processing station in the mammalian brain that receives input from many types of retinal ganglion cells (RGCs). How many parallel channels exist in the SC, and what information does each encode? Here we recorded from mouse superficial SC neurons under a battery of visual stimuli including those used for classification of RGCs. An unsupervised clustering algorithm identified 24 functional types based on their visual responses. They fall into two groups: one that responds similarly to RGCs, and another with more diverse and specialized stimulus selectivity. The second group is dominant at greater depths, consistent with a vertical progression of signal processing in the SC. Cells of the same functional type tend to cluster near each other in anatomical space. Compared to the retina, the visual representation in the SC has lower dimensionality, consistent with a sifting process along the visual pathway.

Data availability

The data and code that produced the figures are available in a public Github repository https://github.com/yatangli/Li-CellTypes-2023

Article and author information

Author details

  1. Ya-tang Li

    Chinese Institute for Brain Research, Beijing, China
    For correspondence
    yatangli@cibr.ac.cn
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-2763-1534
  2. Markus Meister

    Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States
    For correspondence
    meister4@mac.com
    Competing interests
    Markus Meister, Reviewing editor, eLife.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-2136-6506

Funding

National Institute of Neurological Disorders and Stroke (R01 NS111477)

  • Markus Meister

Simons Foundation (543015SPI)

  • Markus Meister

National Eye Institute (K99EY028640)

  • Ya-tang Li

Helen Hay Whitney Foundation

  • Ya-tang Li

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

Ethics

Animal experimentation: All animal procedures were performed according to relevant guidelines and approved by the Caltech IACUC (protocol 1656).

Copyright

© 2023, Li & Meister

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

  • 2,619
    views
  • 324
    downloads
  • 11
    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. Ya-tang Li
  2. Markus Meister
(2023)
Functional cell types in the mouse superior colliculus
eLife 12:e82367.
https://doi.org/10.7554/eLife.82367

Share this article

https://doi.org/10.7554/eLife.82367

Further reading

    1. Neuroscience
    Aneri Soni, Michael J Frank
    Research Article

    How and why is working memory (WM) capacity limited? Traditional cognitive accounts focus either on limitations on the number or items that can be stored (slots models), or loss of precision with increasing load (resource models). Here, we show that a neural network model of prefrontal cortex and basal ganglia can learn to reuse the same prefrontal populations to store multiple items, leading to resource-like constraints within a slot-like system, and inducing a trade-off between quantity and precision of information. Such ‘chunking’ strategies are adapted as a function of reinforcement learning and WM task demands, mimicking human performance and normative models. Moreover, adaptive performance requires a dynamic range of dopaminergic signals to adjust striatal gating policies, providing a new interpretation of WM difficulties in patient populations such as Parkinson’s disease, ADHD, and schizophrenia. These simulations also suggest a computational rather than anatomical limit to WM capacity.

    1. Neuroscience
    Sergio Plaza-Alonso, Nicolas Cano-Astorga ... Lidia Alonso-Nanclares
    Research Article Updated

    The entorhinal cortex (EC) plays a pivotal role in memory function and spatial navigation, connecting the hippocampus with the neocortex. The EC integrates a wide range of cortical and subcortical inputs, but its synaptic organization in the human brain is largely unknown. We used volume electron microscopy to perform a 3D analysis of the microanatomical features of synapses in all layers of the medial EC (MEC) from the human brain. Using this technology, 12,974 synapses were fully 3D reconstructed at the ultrastructural level. The MEC presented a distinct set of synaptic features, differentiating this region from other human cortical areas. Furthermore, ultrastructural synaptic characteristics within the MEC was predominantly similar, although layers I and VI exhibited several synaptic characteristics that were distinct from other layers. The present study constitutes an extensive description of the synaptic characteristics of the neuropil of all layers of the EC, a crucial step to better understand the connectivity of this cortical region, in both health and disease.