Literature DB >> 27170134

Limitations of Neural Map Topography for Decoding Spatial Information.

Lilach Avitan1, Zac Pujic1, Nicholas J Hughes2, Ethan K Scott3, Geoffrey J Goodhill4.   

Abstract

UNLABELLED: Topographic 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.
Copyright © 2016 the authors 0270-6474/16/365385-12$15.00/0.

Entities:  

Keywords:  computational model; sensory decoding; topographic map; zebrafish

Mesh:

Year:  2016        PMID: 27170134      PMCID: PMC6601797          DOI: 10.1523/JNEUROSCI.0385-16.2016

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  8 in total

Review 1.  Principles of Functional Circuit Connectivity: Insights From Spontaneous Activity in the Zebrafish Optic Tectum.

Authors:  Emiliano Marachlian; Lilach Avitan; Geoffrey J Goodhill; Germán Sumbre
Journal:  Front Neural Circuits       Date:  2018-06-21       Impact factor: 3.492

Review 2.  Probabilistic Encoding Models for Multivariate Neural Data.

Authors:  Marcus A Triplett; Geoffrey J Goodhill
Journal:  Front Neural Circuits       Date:  2019-01-28       Impact factor: 3.492

3.  Elements of a stochastic 3D prediction engine in larval zebrafish prey capture.

Authors:  Andrew D Bolton; Martin Haesemeyer; Josua Jordi; Ulrich Schaechtle; Feras A Saad; Vikash K Mansinghka; Joshua B Tenenbaum; Florian Engert
Journal:  Elife       Date:  2019-11-26       Impact factor: 8.140

4.  Topographic map formation and the effects of NMDA receptor blockade in the developing visual system.

Authors:  Vanessa J Li; Anne Schohl; Edward S Ruthazer
Journal:  Proc Natl Acad Sci U S A       Date:  2022-02-22       Impact factor: 12.779

5.  Characterisation of sensitivity and orientation tuning for visually responsive ensembles in the zebrafish tectum.

Authors:  A W Thompson; E K Scott
Journal:  Sci Rep       Date:  2016-10-07       Impact factor: 4.379

6.  Whole-Brain Neuronal Activity Displays Crackling Noise Dynamics.

Authors:  Adrián Ponce-Alvarez; Adrien Jouary; Martin Privat; Gustavo Deco; Germán Sumbre
Journal:  Neuron       Date:  2018-11-16       Impact factor: 17.173

Review 7.  Functional Integration of Newborn Neurons in the Zebrafish Optic Tectum.

Authors:  Jonathan Boulanger-Weill; Germán Sumbre
Journal:  Front Cell Dev Biol       Date:  2019-04-16

8.  Network Analysis of Murine Cortical Dynamics Implicates Untuned Neurons in Visual Stimulus Coding.

Authors:  Maayan Levy; Olaf Sporns; Jason N MacLean
Journal:  Cell Rep       Date:  2020-04-14       Impact factor: 9.423

  8 in total

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