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Valerio Mante

Researcher at University of Zurich

Publications -  30
Citations -  3715

Valerio Mante is an academic researcher from University of Zurich. The author has contributed to research in topics: Population & Prefrontal cortex. The author has an hindex of 10, co-authored 23 publications receiving 3129 citations. Previous affiliations of Valerio Mante include Howard Hughes Medical Institute & Center for Neural Science.

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Context-dependent computation by recurrent dynamics in prefrontal cortex

TL;DR: This work studies prefrontal cortex activity in macaque monkeys trained to flexibly select and integrate noisy sensory inputs towards a choice, and finds that the observed complexity and functional roles of single neurons are readily understood in the framework of a dynamical process unfolding at the level of the population.
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Do we know what the early visual system does

TL;DR: Research is progressing with the goals of defining a single “standard model” for each stage of the visual pathway and testing the predictive power of these models on the responses to movies of natural scenes, which would be an invaluable guide for understanding the underlying biophysical and anatomical mechanisms and relating neural responses to visual perception.
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How MT cells analyze the motion of visual patterns

TL;DR: This work shows that the responses of MT cells can be captured by a linear-nonlinear model that operates not on the visual stimulus, but on the afferent responses of a population of nonlinear V1 cells, and robustly predicts the separately measured responses to gratings and plaids.
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Independence of luminance and contrast in natural scenes and in the early visual system

TL;DR: The adaptive mechanisms for luminance and contrast operate independently, reflecting the very independence encountered in natural images.
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The suppressive field of neurons in lateral geniculate nucleus.

TL;DR: The suppressive field is characterized and found that it is similar in size to the surround of the classical receptive field, it is not selective for stimulus orientation, and it responds to a wide range of frequencies, including very low spatial frequencies and high temporal frequencies.