Evidence map›Paper›PMID 27170134›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2016

Limitations of Neural Map Topography for Decoding Spatial Information.

Lilach Avitan, Zac Pujic, Nicholas J Hughes, Ethan K Scott, Geoffrey J Goodhill

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Spatial Subdomains in the Optic Tectum for the Encoding of Visual Information.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  2. Article
  3. Characterization of Auditory Responsive Neurons in the Mouse Superior Colliculus to White Noise and Frequency-Restricted Sounds.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  4. Distinct Neuron Types Contribute to Hybrid Auditory Spatial Coding.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  5. Review
  6. Review
  7. Whole-brain imaging of freely-moving zebrafish.Frontiers in neuroscience · 2023
    Review
  8. Topographic map formation and the effects of NMDA receptor blockade in the developing visual system.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  9. Spatial Cognition in Teleost Fish: Strategies and Mechanisms.Animals : an open access journal from MDPI · 2021
    Review
  10. Article
  11. Article
  12. Article
  13. Functional Integration of Newborn Neurons in the Zebrafish Optic Tectum.Frontiers in cell and developmental biology · 2019
    Review
  14. Review
  15. Article
  16. Review
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Lilach AvitanQueensland Brain Institute.ORCID 0000-0003-1957-8702
Zac PujicQueensland Brain Institute.ORCID 0000-0002-2515-7296
Nicholas J HughesQueensland Brain Institute, School of Mathematics and Physics, and.ORCID 0000-0003-1657-4378
Ethan K ScottSchool of Biomedical Sciences, The University of Queensland, St Lucia, Queensland 4072, Australia.ORCID 0000-0003-3150-9216
Geoffrey J GoodhillQueensland Brain Institute, School of Mathematics and Physics, and g.goodhill@uq.edu.au.ORCID 0000-0001-9789-9355

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledTopographic maps are common throughout the nervous system, yet their functional role is still unclear. In particular, whether they are necessary for decoding sensory stimuli is unknown. Here we examined this question by recording population activity at the cellular level from the larval zebrafish tectum in response to visual stimuli at three closely spaced locations in the visual field. Due to map imprecision, nearby stimulus locations produced intermingled tectal responses, and decoding based on map topography yielded an accuracy of only 64%. In contrast, maximum likelihood decoding of stimulus location based on the statistics of the evoked activity, while ignoring any information about the locations of neurons in the map, yielded an accuracy close to 100%. A simple computational model of the zebrafish visual system reproduced these results. Although topography is a useful initial decoding strategy, we suggest it may be replaced by better methods following visual experience. SIGNIFICANCE STATEMENT: A very common feature of brain wiring is that neighboring points on a sensory surface (eg, the retina) are connected to neighboring points in the brain. It is often assumed that this "topography" of wiring is essential for decoding sensory stimuli. However, here we show in the developing zebrafish that topographic decoding performs very poorly compared with methods that do not rely on topography. This suggests that, although wiring topography could provide a starting point for decoding at a very early stage in development, it may be replaced by more accurate methods as the animal gains experience of the world.

Indexed as

Space PerceptionAnimalsBrain MappingEvoked Potentials, VisualSuperior ColliculiVisual PerceptionVoltage-Sensitive Dye ImagingZebrafishcomputational modelsensory decodingtopographic mapzebrafish

Identifiers

PMID27170134
PMCPMC6601797

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.