Literature DB >> 32632511

Optogenetic activation of corticogeniculate feedback stabilizes response gain and increases information coding in LGN neurons.

Allison J Murphy1,2, Luke Shaw1, J Michael Hasse3,4, Robbe L T Goris5,6, Farran Briggs7,8,9,10,11.   

Abstract

In spite of their anatomical robustness, it has been difficult to establish the functional role of corticogeniculate circuits connecting primary visual cortex with the lateral geniculate nucleus of the thalamus (LGN) in the feedback direction. Growing evidence suggests that corticogeniculate feedback does not directly shape the spatial receptive field properties of LGN neurons, but rather regulates the timing and precision of LGN responses and the information coding capacity of LGN neurons. We propose that corticogeniculate feedback specifically stabilizes the response gain of LGN neurons, thereby increasing their information coding capacity. Inspired by early work by McClurkin et al. (1994), we manipulated the activity of corticogeniculate neurons to test this hypothesis. We used optogenetic methods to selectively and reversibly enhance the activity of corticogeniculate neurons in anesthetized ferrets while recording responses of LGN neurons to drifting gratings and white noise stimuli. We found that optogenetic activation of corticogeniculate feedback systematically reduced LGN gain variability and increased information coding capacity among LGN neurons. Optogenetic activation of corticogeniculate neurons generated similar increases in information encoded in LGN responses to drifting gratings and white noise stimuli. Together, these findings suggest that the influence of corticogeniculate feedback on LGN response precision and information coding capacity could be mediated through reductions in gain variability.
© 2020. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Corticogeniculate; Entropy; LGN; Optogenetics; V1; Variance

Mesh:

Year:  2020        PMID: 32632511      PMCID: PMC7785653          DOI: 10.1007/s10827-020-00754-5

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.453


  34 in total

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Authors:  Marisa Carrasco; Sam Ling; Sarah Read
Journal:  Nat Neurosci       Date:  2004-02-15       Impact factor: 24.884

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Authors:  Ian M Andolina; Helen E Jones; Wei Wang; Adam M Sillito
Journal:  Proc Natl Acad Sci U S A       Date:  2007-01-19       Impact factor: 11.205

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Journal:  Proc Natl Acad Sci U S A       Date:  1997-02-18       Impact factor: 11.205

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Journal:  Exp Brain Res       Date:  1990       Impact factor: 1.972

5.  Complex Effects on In Vivo Visual Responses by Specific Projections from Mouse Cortical Layer 6 to Dorsal Lateral Geniculate Nucleus.

Authors:  Daniel J Denman; Diego Contreras
Journal:  J Neurosci       Date:  2015-06-24       Impact factor: 6.167

6.  Influence of the cortico-geniculate pathway on response properties of cat lateral geniculate neurons.

Authors:  E E Geisert; A Langsetmo; P D Spear
Journal:  Brain Res       Date:  1981-03-16       Impact factor: 3.252

7.  Immunocytochemistry and distribution of parabrachial terminals in the lateral geniculate nucleus of the cat: a comparison with corticogeniculate terminals.

Authors:  A Erişir; S C Van Horn; M E Bickford; S M Sherman
Journal:  J Comp Neurol       Date:  1997-01-27       Impact factor: 3.215

8.  Decoding of MSTd population activity accounts for variations in the precision of heading perception.

Authors:  Yong Gu; Christopher R Fetsch; Babatunde Adeyemo; Gregory C Deangelis; Dora E Angelaki
Journal:  Neuron       Date:  2010-05-27       Impact factor: 17.173

9.  Attention improves performance primarily by reducing interneuronal correlations.

Authors:  Marlene R Cohen; John H R Maunsell
Journal:  Nat Neurosci       Date:  2009-11-15       Impact factor: 24.884

10.  Partitioning neuronal variability.

Authors:  Robbe L T Goris; J Anthony Movshon; Eero P Simoncelli
Journal:  Nat Neurosci       Date:  2014-04-28       Impact factor: 24.884

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