Next-generation neural computations
Next-generation neural computations
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Probabilistic models of the low-level visual system: the role of prediction in detecting motion
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Diffraction monochromatique, spectre audiographique
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Project
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Models of low-level vision: linking probabilistic models and neural masses
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Reading out the dynamics of lateral interactions in the primary visual cortex from VSD data
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Peut-on parler d'intelligence mécanique?
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Control of the temporal interplay between excitation and inhibition by the statistics of visual input
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Decoding low-level neural information to track visual motion
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Decoding the population dynamics underlying ocular following response using a probabilistic framework
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From neural activity to behavior: computational neuroscience as a synthetic approach for understanding the neural code.
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Modeling of spikes, sparseness and adaptation in the primary visual cortex: applications to imaging
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What efficient code for adaptive spiking representations?
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Neural Codes for Adaptive Sparse Representations of Natural Images
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Input-output transformation in the visuo-oculomotor loop: modeling the ocular following response to center-surround stimulation in a probabilistic framework
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