Literature DB >> 28701536

Spatially tuned normalization explains attention modulation variance within neurons.

Amy M Ni1,2, John H R Maunsell3,4.   

Abstract

Spatial attention improves perception of attended parts of a scene, a behavioral enhancement accompanied by modulations of neuronal firing rates. These modulations vary in size across neurons in the same brain area. Models of normalization explain much of this variance in attention modulation with differences in tuned normalization across neurons (Lee J, Maunsell JHR. PLoS One 4: e4651, 2009; Ni AM, Ray S, Maunsell JHR. Neuron 73: 803-813, 2012). However, recent studies suggest that normalization tuning varies with spatial location both across and within neurons (Ruff DA, Alberts JJ, Cohen MR. J Neurophysiol 116: 1375-1386, 2016; Verhoef BE, Maunsell JHR. eLife 5: e17256, 2016). Here we show directly that attention modulation and normalization tuning do in fact covary within individual neurons, in addition to across neurons as previously demonstrated. We recorded the activity of isolated neurons in the middle temporal area of two rhesus monkeys as they performed a change-detection task that controlled the focus of spatial attention. Using the same two drifting Gabor stimuli and the same two receptive field locations for each neuron, we found that switching which stimulus was presented at which location affected both attention modulation and normalization in a correlated way within neurons. We present an equal-maximum-suppression spatially tuned normalization model that explains this covariance both across and within neurons: each stimulus generates equally strong suppression of its own excitatory drive, but its suppression of distant stimuli is typically less. This new model specifies how the tuned normalization associated with each stimulus location varies across space both within and across neurons, changing our understanding of the normalization mechanism and how attention modulations depend on this mechanism.NEW & NOTEWORTHY Tuned normalization studies have demonstrated that the variance in attention modulation size seen across neurons from the same cortical area can be largely explained by between-neuron differences in normalization strength. Here we demonstrate that attention modulation size varies within neurons as well and that this variance is largely explained by within-neuron differences in normalization strength. We provide a new spatially tuned normalization model that explains this broad range of observed normalization and attention effects.
Copyright © 2017 the American Physiological Society.

Entities:  

Keywords:  middle temporal area; spatial attention; tuned normalization

Mesh:

Year:  2017        PMID: 28701536      PMCID: PMC5599664          DOI: 10.1152/jn.00218.2017

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  38 in total

1.  Attention activates winner-take-all competition among visual filters.

Authors:  D K Lee; L Itti; C Koch; J Braun
Journal:  Nat Neurosci       Date:  1999-04       Impact factor: 24.884

2.  Interacting roles of attention and visual salience in V4.

Authors:  John H Reynolds; Robert Desimone
Journal:  Neuron       Date:  2003-03-06       Impact factor: 17.173

3.  A grid system and a microsyringe for single cell recording.

Authors:  C F Crist; D S Yamasaki; H Komatsu; R H Wurtz
Journal:  J Neurosci Methods       Date:  1988-12       Impact factor: 2.390

4.  Neuronal Mechanisms of Visual Attention.

Authors:  John H R Maunsell
Journal:  Annu Rev Vis Sci       Date:  2015-11-24       Impact factor: 6.422

5.  Computational models of cortical visual processing.

Authors:  D J Heeger; E P Simoncelli; J A Movshon
Journal:  Proc Natl Acad Sci U S A       Date:  1996-01-23       Impact factor: 11.205

6.  Direction and orientation selectivity of neurons in visual area MT of the macaque.

Authors:  T D Albright
Journal:  J Neurophysiol       Date:  1984-12       Impact factor: 2.714

7.  Orientation selectivity in the cat's striate cortex is invariant with stimulus contrast.

Authors:  G Sclar; R D Freeman
Journal:  Exp Brain Res       Date:  1982       Impact factor: 1.972

Review 8.  Superior colliculus and visual spatial attention.

Authors:  Richard J Krauzlis; Lee P Lovejoy; Alexandre Zénon
Journal:  Annu Rev Neurosci       Date:  2013-05-15       Impact factor: 12.449

Review 9.  Normalization as a canonical neural computation.

Authors:  Matteo Carandini; David J Heeger
Journal:  Nat Rev Neurosci       Date:  2011-11-23       Impact factor: 34.870

10.  The complex structure of receptive fields in the middle temporal area.

Authors:  Micah Richert; Thomas D Albright; Bart Krekelberg
Journal:  Front Syst Neurosci       Date:  2013-03-06
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  14 in total

1.  Neuronal Effects of Spatial and Feature Attention Differ Due to Normalization.

Authors:  Amy M Ni; John H R Maunsell
Journal:  J Neurosci       Date:  2019-05-08       Impact factor: 6.167

2.  Low rank mechanisms underlying flexible visual representations.

Authors:  Douglas A Ruff; Cheng Xue; Lily E Kramer; Faisal Baqai; Marlene R Cohen
Journal:  Proc Natl Acad Sci U S A       Date:  2020-11-24       Impact factor: 11.205

3.  Understanding Commonalities and Discrepancies between Feature and Spatial Attention Effect in the Context of a Normalization Model.

Authors:  Yang Xie; Zhewei Zhang
Journal:  J Neurosci       Date:  2020-01-29       Impact factor: 6.167

4.  Differential Effects of Endogenous and Exogenous Attention on Sensory Tuning.

Authors:  Antonio Fernández; Sara Okun; Marisa Carrasco
Journal:  J Neurosci       Date:  2021-12-27       Impact factor: 6.709

5.  Pop-out search instigates beta-gated feature selectivity enhancement across V4 layers.

Authors:  Jacob A Westerberg; Elizabeth A Sigworth; Jeffrey D Schall; Alexander Maier
Journal:  Proc Natl Acad Sci U S A       Date:  2021-12-14       Impact factor: 12.779

6.  Different computations underlie overt presaccadic and covert spatial attention.

Authors:  Hsin-Hung Li; Jasmine Pan; Marisa Carrasco
Journal:  Nat Hum Behav       Date:  2021-04-19

7.  State dependence of stimulus-induced variability tuning in macaque MT.

Authors:  Joseph A Lombardo; Matthew V Macellaio; Bing Liu; Stephanie E Palmer; Leslie C Osborne
Journal:  PLoS Comput Biol       Date:  2018-10-12       Impact factor: 4.475

8.  A Normalization Circuit Underlying Coding of Spatial Attention in Primate Lateral Prefrontal Cortex.

Authors:  Lyndon Duong; Matthew Leavitt; Florian Pieper; Adam Sachs; Julio Martinez-Trujillo
Journal:  eNeuro       Date:  2019-04-15

9.  Distinct spatiotemporal mechanisms underlie extra-classical receptive field modulation in macaque V1 microcircuits.

Authors:  Christopher A Henry; Mehrdad Jazayeri; Robert M Shapley; Michael J Hawken
Journal:  Elife       Date:  2020-05-27       Impact factor: 8.140

10.  Effect of Cross-Orientation Normalization on Different Neural Measures in Macaque Primary Visual Cortex.

Authors:  Aritra Das; Supratim Ray
Journal:  Cereb Cortex Commun       Date:  2021-02-10
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