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Second Order Dimensionality Reduction Using Minimum and Maximum Mutual Information Models
Conventional methods used to characterize multidimensional neural feature selectivity, such as spike-triggered covariance (STC) or maximally informative dimensions (MID), are limited to GaussianExpand
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Analyzing multicomponent receptive fields from neural responses to natural stimuli
The challenge of building increasingly better models of neural responses to natural stimuli is to accurately estimate the multiple stimulus features that may jointly affect the neural spikeExpand
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Cross-orientation suppression in visual area V2
Object recognition relies on a series of transformations among which only the first cortical stage is relatively well understood. Already at the second stage, the visual area V2, the complexity ofExpand
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Characterizing Responses of Translation-Invariant Neurons to Natural Stimuli: Maximally Informative Invariant Dimensions
The human visual system is capable of recognizing complex objects even when their appearances change drastically under various viewing conditions. Especially in the higher cortical areas, the sensoryExpand
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Characterizing neural responses to natural stimuli
The sensory nervous system converts external stimuli into electrical signals that are used to process and transmit information about the stimuli. An ongoing goal of systems neuroscience is toExpand