Literature DB >> 9671678

Contrast-invariant orientation tuning in cat visual cortex: thalamocortical input tuning and correlation-based intracortical connectivity.

T W Troyer1, A E Krukowski, N J Priebe, K D Miller.   

Abstract

The origin of orientation selectivity in visual cortical responses is a central problem for understanding cerebral cortical circuitry. In cats, many experiments suggest that orientation selectivity arises from the arrangement of lateral geniculate nucleus (LGN) afferents to layer 4 simple cells. However, this explanation is not sufficient to account for the contrast invariance of orientation tuning. To understand contrast invariance, we first characterize the input to cat simple cells generated by the oriented arrangement of LGN afferents. We demonstrate that it has two components: a spatial-phase-specific component (i.e., one that depends on receptive field spatial phase), which is tuned for orientation, and a phase-nonspecific component, which is untuned. Both components grow with contrast. Second, we show that a correlation-based intracortical circuit, in which connectivity between cell pairs is determined by the correlation of their LGN inputs, is sufficient to achieve well tuned, contrast-invariant orientation tuning. This circuit generates both spatially opponent, "antiphase" inhibition ("push-pull"), and spatially matched, "same-phase" excitation. The inhibition, if sufficiently strong, suppresses the untuned input component and sharpens responses to the tuned component at all contrasts. The excitation amplifies tuned responses. This circuit agrees with experimental evidence showing spatial opponency between, and similar orientation tuning of, the excitatory and inhibitory inputs received by a simple cell. Orientation tuning is primarily input driven, accounting for the observed invariance of tuning width after removal of intracortical synaptic input, as well as for the dependence of orientation tuning on stimulus spatial frequency. The model differs from previous push-pull models in requiring dominant rather than balanced inhibition and in predicting that a population of layer 4 inhibitory neurons should respond in a contrast-dependent manner to stimuli of all orientations, although their tuning width may be similar to that of excitatory neurons. The model demonstrates that fundamental response properties of cortical layer 4 can be explained by circuitry expected to develop under correlation-based rules of synaptic plasticity, and shows how such circuitry allows the cortex to distinguish stimulus intensity from stimulus form.

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Mesh:

Year:  1998        PMID: 9671678      PMCID: PMC6793055     

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


  86 in total

1.  Integrative action in the cat's lateral geniculate body.

Authors:  D H HUBEL; T N WIESEL
Journal:  J Physiol       Date:  1961-02       Impact factor: 5.182

2.  An intracellular analysis of the visual responses of neurones in cat visual cortex.

Authors:  R J Douglas; K A Martin; D Whitteridge
Journal:  J Physiol       Date:  1991       Impact factor: 5.182

3.  Precisely correlated firing in cells of the lateral geniculate nucleus.

Authors:  J M Alonso; W M Usrey; R C Reid
Journal:  Nature       Date:  1996-10-31       Impact factor: 49.962

4.  Excitatory synaptic inputs to spiny stellate cells in cat visual cortex.

Authors:  K J Stratford; K Tarczy-Hornoch; K A Martin; N J Bannister; J J Jack
Journal:  Nature       Date:  1996-07-18       Impact factor: 49.962

5.  Synaptic integration in an excitable dendritic tree.

Authors:  B W Mel
Journal:  J Neurophysiol       Date:  1993-09       Impact factor: 2.714

Review 6.  Noise, neural codes and cortical organization.

Authors:  M N Shadlen; W T Newsome
Journal:  Curr Opin Neurobiol       Date:  1994-08       Impact factor: 6.627

7.  Receptive-field structure in cat striate cortex.

Authors:  L A Palmer; T L Davis
Journal:  J Neurophysiol       Date:  1981-08       Impact factor: 2.714

8.  Relationship between spatial-frequency and orientation tuning of striate-cortex cells.

Authors:  M A Webster; R L De Valois
Journal:  J Opt Soc Am A       Date:  1985-07       Impact factor: 2.129

9.  Laminar distribution of first-order neurons and afferent terminals in cat striate cortex.

Authors:  J Bullier; G H Henry
Journal:  J Neurophysiol       Date:  1979-09       Impact factor: 2.714

10.  The effect of varying stimulus intensity on NMDA-receptor activity in cat visual cortex.

Authors:  K Fox; H Sato; N Daw
Journal:  J Neurophysiol       Date:  1990-11       Impact factor: 2.714

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  134 in total

1.  A neuronal network model of macaque primary visual cortex (V1): orientation selectivity and dynamics in the input layer 4Calpha.

Authors:  D McLaughlin; R Shapley; M Shelley; D J Wielaard
Journal:  Proc Natl Acad Sci U S A       Date:  2000-07-05       Impact factor: 11.205

2.  Modeling LGN responses during free-viewing: a possible role of microscopic eye movements in the refinement of cortical orientation selectivity.

Authors:  M Rucci; G M Edelman; J Wray
Journal:  J Neurosci       Date:  2000-06-15       Impact factor: 6.167

3.  Efficient and accurate time-stepping schemes for integrate-and-fire neuronal networks.

Authors:  M J Shelley; L Tao
Journal:  J Comput Neurosci       Date:  2001 Sep-Oct       Impact factor: 1.621

4.  Spatial frequency and orientation tuning dynamics in area V1.

Authors:  James A Mazer; William E Vinje; Josh McDermott; Peter H Schiller; Jack L Gallant
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-29       Impact factor: 11.205

5.  How simple cells are made in a nonlinear network model of the visual cortex.

Authors:  D J Wielaard; M Shelley; D McLaughlin; R Shapley
Journal:  J Neurosci       Date:  2001-07-15       Impact factor: 6.167

6.  Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition.

Authors:  N Brunel; X J Wang
Journal:  J Comput Neurosci       Date:  2001 Jul-Aug       Impact factor: 1.621

7.  Dynamics of spatial frequency tuning in macaque V1.

Authors:  C E Bredfeldt; D L Ringach
Journal:  J Neurosci       Date:  2002-03-01       Impact factor: 6.167

8.  Laminar processing of stimulus orientation in cat visual cortex.

Authors:  Luis M Martinez; José-Manuel Alonso; R Clay Reid; Judith A Hirsch
Journal:  J Physiol       Date:  2002-04-01       Impact factor: 5.182

9.  The timing of response onset and offset in macaque visual neurons.

Authors:  Wyeth Bair; James R Cavanaugh; Matthew A Smith; J Anthony Movshon
Journal:  J Neurosci       Date:  2002-04-15       Impact factor: 6.167

10.  Differential depression at excitatory and inhibitory synapses in visual cortex.

Authors:  J A Varela; S Song; G G Turrigiano; S B Nelson
Journal:  J Neurosci       Date:  1999-06-01       Impact factor: 6.167

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