Model Constrained by Visual Hierarchy Improves Prediction of Neural Responses to Natural Scenes.

ABSTRACT: Accurate estimation of neuronal receptive fields is essential for understanding sensory processing in the early visual system. Yet a full characterization of receptive fields is still incomplete, especially with regard to natural visual stimuli and in complete populations of cortical neurons. While previous work has incorporated known structural properties of the early visual system, such as lateral connectivity, or imposing simple-cell-like receptive field structure, no study has exploited the fact that nearby V1 neurons share common feed-forward input from thalamus and other upstream cortical neurons. We introduce a new method for estimating receptive fields simultaneously for a population of V1 neurons, using a model-based analysis incorporating knowledge of the feed-forward visual hier

SUBMITTER: Antolik J 

PROVIDER: S-EPMC4922657 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature