Spatiotemporal specificity of contrast adaptation in mouse primary visual cortex

LeDue, Emily E.; King, John A.; Stover, Kurt R.; Crowder, Nathan A.

doi:10.3389/fncir.2013.00154

Cited by 8 publications

(5 citation statements)

References 59 publications

(138 reference statements)

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“…The spike rate elicited by the adapting stimulus is critical for other forms of adaptation in mouse V1 (LeDue et al ., , ; King et al ., ), so we examined the importance of response magnitude on our measures of adaptation. Figure D shows that responses to the adapting stimulus (normalized to the peak nonadapted response) were more robust the closer the adapt angle was to the peak of the nonadapted curve (Spearman rank correlation = −0.66, P = 4.24 × 10 −8 ), as expected from orientation tuned cells.…”

Section: Resultsmentioning

confidence: 99%

Adaptation to stimulus orientation in mouse primary visual cortex

King

Crowder

2018

Eur J of Neuroscience

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Information processing in the visual system is shaped by recent stimulus history, such that prolonged viewing of an adapting stimulus can alter the perception of subsequently presented test stimuli. In the tilt-after-effect, the perceived orientation of a grating is often repelled away from the orientation of a previously viewed adapting grating. A possible neural correlate for the tilt-after-effect has been described in cat and macaque primary visual cortex (V1), where adaptation produces repulsive shifts in the orientation tuning curves of V1 neurons. We investigated adaptation to stimulus orientation in mouse V1 to determine whether known species differences in orientation processing, notably V1 functional architecture and proportion of tightly tuned cells, are important for these repulsive shifts. Unlike the consistent repulsion reported in other species, we found that repulsion was only about twice as common as attraction in our mouse data. Furthermore, adapted responses were attenuated across all orientations. A simple model that captured key physiological findings reported in cats and mice indicated that the greater proportion of broadly tuned neurons in mice may explain the observed species differences in adaptation.

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Section: Resultsmentioning

confidence: 99%

Adaptation to stimulus orientation in mouse primary visual cortex

King

Crowder

2018

Eur J of Neuroscience

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“…We focus specifically on orientation adaptation effects in V1. Other factors such as spatial and temporal frequency are also known to influence adaptation (e.g., King, Lowe, & Crowder, 2015 ; Ledue, King, Stover, & Crowder, 2013 ; Saul & Cynader, 1989 ) but are beyond the scope of our current modeling effort, which is based on a population of oriented RFs. We also focus on effects confined to the classical RF of V1 neurons.…”

Section: Introductionmentioning

confidence: 99%

Specificity and timescales of cortical adaptation as inferences about natural movie statistics

2016

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Adaptation is a phenomenological umbrella term under which a variety of temporal contextual effects are grouped. Previous models have shown that some aspects of visual adaptation reflect optimal processing of dynamic visual inputs, suggesting that adaptation should be tuned to the properties of natural visual inputs. However, the link between natural dynamic inputs and adaptation is poorly understood. Here, we extend a previously developed Bayesian modeling framework for spatial contextual effects to the temporal domain. The model learns temporal statistical regularities of natural movies and links these statistics to adaptation in primary visual cortex via divisive normalization, a ubiquitous neural computation. In particular, the model divisively normalizes the present visual input by the past visual inputs only to the degree that these are inferred to be statistically dependent. We show that this flexible form of normalization reproduces classical findings on how brief adaptation affects neuronal selectivity. Furthermore, prior knowledge acquired by the Bayesian model from natural movies can be modified by prolonged exposure to novel visual stimuli. We show that this updating can explain classical results on contrast adaptation. We also simulate the recent finding that adaptation maintains population homeostasis, namely, a balanced level of activity across a population of neurons with different orientation preferences. Consistent with previous disparate observations, our work further clarifies the influence of stimulus-specific and neuronal-specific normalization signals in adaptation.

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“…The mouse has emerged to be an important animal model to examine the relationship between neural activity and behaviour 23 . Although V1 neurons in mouse have low spatial resolution, they are highly selective to stimulus features such as orientation, spatial frequency, temporal frequency, and contrast 3 24 25 26 27 . A variety of behavioural methods and task designs have been developed to probe mouse vision.…”

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Contrast-dependent orientation discrimination in the mouse

Minghai

Jiang

Liu

et al. 2015

Sci Rep

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As an important animal model to study the relationship between behaviour and neural activity, the mouse is able to perform a variety of visual tasks, such as orientation discrimination and contrast detection. However, it is not clear how stimulus contrast influences the performance of orientation discrimination in mice. In this study, we used two task designs, two-alternative forced choice (2AFC) and go/no-go, to examine the performance of mice to discriminate two orthogonal orientations at different contrasts. We found that the performance tended to increase with contrast, and the performance at high contrast was better when the stimulus set contained a single contrast than multiple contrasts. Physiological experiments in V1 showed that neural discriminability of two orthogonal orientations increased with contrast. Furthermore, orientation discriminability of V1 neurons at high contrast was higher in the single than in the multiple contrast condition, largely due to smaller response variance in the single contrast condition. Thus, the performance of mice to discriminate orientations at high contrast is adapted to the contrast range in the stimuli, partly attributed to the contrast-range dependent capacity of V1 neurons to discriminate orientations.

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Spatiotemporal specificity of contrast adaptation in mouse primary visual cortex

Cited by 8 publications

References 59 publications

Adaptation to stimulus orientation in mouse primary visual cortex

Adaptation to stimulus orientation in mouse primary visual cortex

Specificity and timescales of cortical adaptation as inferences about natural movie statistics

Contrast-dependent orientation discrimination in the mouse

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