Dataset Information

Pattern and Component Motion Responses in Mouse Visual Cortical Areas.

ABSTRACT: Spanning about 9 mm(2) of the posterior cortex surface, the mouse's small but organized visual cortex has recently gained attention for its surprising sophistication and experimental tractability. Though it lacks the highly ordered orientation columns of primates, mouse visual cortex is organized retinotopically and contains at least ten extrastriate areas that likely integrate more complex visual features via dorsal and ventral streams of processing. Extending our understanding of visual perception to the mouse model is justified by the evolving ability to interrogate specific neural circuits using genetic and molecular techniques. In order to probe the functional properties of the putative mouse dorsal stream, we used moving plaids, which demonstrate differences between cells that identify local motion (component cells) and those that integrate global motion of the plaid (pattern cells; Figure 1A;). In primates, there are sparse pattern cell responses in primate V1, but many more in higher-order regions; 25%-30% of cells in MT and 40%-60% in MST are pattern direction selective. We present evidence that mice have small numbers of pattern cells in areas LM and RL, while V1, AL, and AM are largely component-like. Although the proportion of pattern cells is smaller in mouse visual cortex than in primate MT, this study provides evidence that the organization of the mouse visual system shares important similarities to that of primates and opens the possibility of using mice to probe motion computation mechanisms.

SUBMITTER: Juavinett AL

PROVIDER: S-EPMC4489988 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature

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Pattern and Component Motion Responses in Mouse Visual Cortical Areas.

Juavinett Ashley L AL Callaway Edward M EM

Current biology : CB 20150611 13

Spanning about 9 mm(2) of the posterior cortex surface, the mouse's small but organized visual cortex has recently gained attention for its surprising sophistication and experimental tractability. Though it lacks the highly ordered orientation columns of primates, mouse visual cortex is organized retinotopically and contains at least ten extrastriate areas that likely integrate more complex visual features via dorsal and ventral streams of processing. Extending our understanding of visual percep ...[more]

PMID: 26073133

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Project description:Neurons in sensory areas of neocortex exhibit responses tuned to specific features of the environment. In visual cortex, information about features such as edges or textures with particular orientations must be integrated to recognize a visual scene or object. Connectivity studies in rodent cortex have revealed that neurons make specific connections within sub-networks sharing common input tuning. In principle, this sub-network architecture enables local cortical circuits to integrate sensory information. However, whether feature integration indeed occurs locally in rodent primary sensory areas has not been examined directly. We studied local integration of sensory features in primary visual cortex (V1) of the mouse by presenting drifting grating and plaid stimuli, while recording the activity of neuronal populations with two-photon calcium imaging. Using a Bayesian model-based analysis framework, we classified single-cell responses as being selective for either individual grating components or for moving plaid patterns. Rather than relying on trial-averaged responses, our model-based framework takes into account single-trial responses and can easily be extended to consider any number of arbitrary predictive models. Our analysis method was able to successfully classify significantly more responses than traditional partial correlation (PC) analysis, and provides a rigorous statistical framework to rank any number of models and reject poorly performing models. We also found a large proportion of cells that respond strongly to only one stimulus class. In addition, a quarter of selectively responding neurons had more complex responses that could not be explained by any simple integration model. Our results show that a broad range of pattern integration processes already take place at the level of V1. This diversity of integration is consistent with processing of visual inputs by local sub-networks within V1 that are tuned to combinations of sensory features.

Dataset Information

Pattern and Component Motion Responses in Mouse Visual Cortical Areas.

Publications

Pattern and Component Motion Responses in Mouse Visual Cortical Areas.

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