Literature DB >> 33705713

Sparse thalamocortical convergence.

Dario L Ringach1.   

Abstract

How many thalamic neurons converge onto a cortical cell? This is an important question, because the organization of thalamocortical projections can influence the cortical architecture.1,2 Here, we estimate the degree of thalamocortical convergence in primary visual cortex by taking advantage of the cortical expansion-neurons within a restricted volume in primary visual cortex have overlapping receptive fields driven by a smaller set of inputs from the lateral geniculate nucleus.3-5 Under these conditions, the measurements of cortical receptive fields in a population can be used to infer the receptive fields of their geniculate inputs and the weights of their projections using non-negative matrix factorization.6 The analysis reveals sparse connectivity,7 where a handful (~2-6) of thalamic inputs account for 90% of the total synaptic weight to a cortical neuron. Together with previous findings,8 these results paint a picture consistent with the idea that convergence of a few inputs partly determine the retinotopy and tuning properties of cortical cells.8-13.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  receptive fields, retinotopy, primary visual cortex, mouse, thalamocortical, connectivity, feed-forward, model, population

Mesh:

Year:  2021        PMID: 33705713      PMCID: PMC9524183          DOI: 10.1016/j.cub.2021.02.032

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.900


  16 in total

1.  Learning the parts of objects by non-negative matrix factorization.

Authors:  D D Lee; H S Seung
Journal:  Nature       Date:  1999-10-21       Impact factor: 49.962

2.  Membrane potential and firing rate in cat primary visual cortex.

Authors:  M Carandini; D Ferster
Journal:  J Neurosci       Date:  2000-01-01       Impact factor: 6.167

Review 3.  How close are we to understanding v1?

Authors:  Bruno A Olshausen; David J Field
Journal:  Neural Comput       Date:  2005-08       Impact factor: 2.026

4.  The operating point of the cortex: neurons as large deviation detectors.

Authors:  Dario L Ringach; Brian J Malone
Journal:  J Neurosci       Date:  2007-07-18       Impact factor: 6.167

5.  You get what you get and you don't get upset.

Authors:  Dario L Ringach
Journal:  Nat Neurosci       Date:  2011-02       Impact factor: 24.884

6.  Sparse coding with an overcomplete basis set: a strategy employed by V1?

Authors:  B A Olshausen; D J Field
Journal:  Vision Res       Date:  1997-12       Impact factor: 1.886

7.  The retinal ganglion cell mosaic defines orientation columns in striate cortex.

Authors:  R E Soodak
Journal:  Proc Natl Acad Sci U S A       Date:  1987-06       Impact factor: 11.205

8.  Cortical direction selectivity emerges at convergence of thalamic synapses.

Authors:  Anthony D Lien; Massimo Scanziani
Journal:  Nature       Date:  2018-05-23       Impact factor: 49.962

9.  Retinal origin of orientation maps in visual cortex.

Authors:  Se-Bum Paik; Dario L Ringach
Journal:  Nat Neurosci       Date:  2011-05-29       Impact factor: 24.884

10.  Parallel processing of visual space by neighboring neurons in mouse visual cortex.

Authors:  Spencer L Smith; Michael Häusser
Journal:  Nat Neurosci       Date:  2010-08-15       Impact factor: 24.884

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  2 in total

1.  ON/OFF domains shape receptive field structure in mouse visual cortex.

Authors:  Elaine Tring; Konnie K Duan; Dario L Ringach
Journal:  Nat Commun       Date:  2022-05-05       Impact factor: 17.694

2.  A mechanism for inter-areal coherence through communication based on connectivity and oscillatory power.

Authors:  Marius Schneider; Ana Clara Broggini; Benjamin Dann; Athanasia Tzanou; Cem Uran; Swathi Sheshadri; Hansjörg Scherberger; Martin Vinck
Journal:  Neuron       Date:  2021-10-11       Impact factor: 17.173

  2 in total

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