Literature DB >> 30459226

Layer 3 Dynamically Coordinates Columnar Activity According to Spatial Context.

Gijs Plomp1, Ivan Larderet2, Matilde Fiorini3,4,5, Laura Busse3,4,6.   

Abstract

To reduce statistical redundancy of natural inputs and increase the sparseness of coding, neurons in primary visual cortex (V1) show tuning for stimulus size and surround suppression. This integration of spatial information is a fundamental, context-dependent neural operation involving extensive neural circuits that span across all cortical layers of a V1 column, and reflects both feedforward and feedback processing. However, how spatial integration is dynamically coordinated across cortical layers remains poorly understood. We recorded single- and multiunit activity and local field potentials across V1 layers of awake mice (both sexes) while they viewed stimuli of varying size and used dynamic Bayesian model comparisons to identify when laminar activity and interlaminar functional interactions showed surround suppression, the hallmark of spatial integration. We found that surround suppression is strongest in layer 3 (L3) and L4 activity, where suppression is established within ∼10 ms after response onset, and receptive fields dynamically sharpen while suppression strength increases. Importantly, we also found that specific directed functional connections were strongest for intermediate stimulus sizes and suppressed for larger ones, particularly for connections from L3 targeting L5 and L1. Together, the results shed light on the different functional roles of cortical layers in spatial integration and on how L3 dynamically coordinates activity across a cortical column depending on spatial context.SIGNIFICANCE STATEMENT Neurons in primary visual cortex (V1) show tuning for stimulus size, where responses to stimuli exceeding the receptive field can be suppressed (surround suppression). We demonstrate that functional connectivity between V1 layers can also have a surround-suppressed profile. A particularly prominent role seems to have layer 3, the functional connections to layers 5 and 1 of which are strongest for stimuli of optimal size and decreased for large stimuli. Our results therefore point toward a key role of layer 3 in coordinating activity across the cortical column according to spatial context.
Copyright © 2019 the authors 0270-6474/19/390281-14$15.00/0.

Entities:  

Keywords:  Granger causality; MUAe; cortical column; local field potential; primary visual cortex; size tuning

Mesh:

Year:  2018        PMID: 30459226      PMCID: PMC6360286          DOI: 10.1523/JNEUROSCI.1568-18.2018

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


  111 in total

1.  Neuronal responses to static texture patterns in area V1 of the alert macaque monkey.

Authors:  J J Knierim; D C van Essen
Journal:  J Neurophysiol       Date:  1992-04       Impact factor: 2.714

2.  The MVGC multivariate Granger causality toolbox: a new approach to Granger-causal inference.

Authors:  Lionel Barnett; Anil K Seth
Journal:  J Neurosci Methods       Date:  2013-11-05       Impact factor: 2.390

3.  A new Kalman filter approach for the estimation of high-dimensional time-variant multivariate AR models and its application in analysis of laser-evoked brain potentials.

Authors:  Thomas Milde; Lutz Leistritz; Laura Astolfi; Wolfgang H R Miltner; Thomas Weiss; Fabio Babiloni; Herbert Witte
Journal:  Neuroimage       Date:  2010-01-07       Impact factor: 6.556

4.  Gamma Synchronization between V1 and V4 Improves Behavioral Performance.

Authors:  Gustavo Rohenkohl; Conrado Arturo Bosman; Pascal Fries
Journal:  Neuron       Date:  2018-10-11       Impact factor: 17.173

5.  Diverse visual features encoded in mouse lateral geniculate nucleus.

Authors:  Denise M Piscopo; Rana N El-Danaf; Andrew D Huberman; Cristopher M Niell
Journal:  J Neurosci       Date:  2013-03-13       Impact factor: 6.167

6.  Alpha and gamma oscillations characterize feedback and feedforward processing in monkey visual cortex.

Authors:  Timo van Kerkoerle; Matthew W Self; Bruno Dagnino; Marie-Alice Gariel-Mathis; Jasper Poort; Chris van der Togt; Pieter R Roelfsema
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-09       Impact factor: 11.205

7.  The columnar and laminar organization of inhibitory connections to neocortical excitatory cells.

Authors:  Dennis Kätzel; Boris V Zemelman; Christina Buetfering; Markus Wölfel; Gero Miesenböck
Journal:  Nat Neurosci       Date:  2010-11-14       Impact factor: 24.884

8.  Surround suppression and sparse coding in visual and barrel cortices.

Authors:  Robert N S Sachdev; Matthew R Krause; James A Mazer
Journal:  Front Neural Circuits       Date:  2012-07-05       Impact factor: 3.492

9.  Lateral competition for cortical space by layer-specific horizontal circuits.

Authors:  Hillel Adesnik; Massimo Scanziani
Journal:  Nature       Date:  2010-04-22       Impact factor: 49.962

10.  Top-down feedback controls spatial summation and response amplitude in primate visual cortex.

Authors:  Lauri Nurminen; Sam Merlin; Maryam Bijanzadeh; Frederick Federer; Alessandra Angelucci
Journal:  Nat Commun       Date:  2018-06-11       Impact factor: 14.919

View more
  2 in total

1.  An Unexpected Dependence of Cortical Depth in Shaping Neural Responsiveness and Selectivity in Mouse Visual Cortex.

Authors:  Philip O'Herron; Manuel Levy; John J Woodward; Prakash Kara
Journal:  eNeuro       Date:  2020-03-23

2.  Four concurrent feedforward and feedback networks with different roles in the visual cortical hierarchy.

Authors:  Elham Barzegaran; Gijs Plomp
Journal:  PLoS Biol       Date:  2022-02-10       Impact factor: 8.029

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.