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Encarni Marcos

Researcher at Sapienza University of Rome

Publications -  30
Citations -  539

Encarni Marcos is an academic researcher from Sapienza University of Rome. The author has contributed to research in topics: Prefrontal cortex & Cognitive architecture. The author has an hindex of 11, co-authored 28 publications receiving 417 citations. Previous affiliations of Encarni Marcos include Universidad Miguel Hernández de Elche & Pompeu Fabra University.

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Low-dimensional dynamics for working memory and time encoding.

TL;DR: This work develops analyses to parcellate neural activity into computationally distinct dynamical regimes and finds that low-dimensional trajectories provide a mechanism for the brain to solve the problem of storing information across time while simultaneously retaining the timing information necessary for anticipating events and coordinating behavior.
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Neural variability in premotor cortex is modulated by trial history and predicts behavioral performance.

TL;DR: This study studies the influence of recent experience on motor decision making by analyzing the activity of neurons in the dorsal premotor area of two monkeys performing a countermanding arm task and reveals that the across-trial variability of the neural response strongly correlates with trial history-dependent changes in reaction time.
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Evidence against perfect integration of sensory information during perceptual decision-making

TL;DR: This work presented subjects with a variant of the classic constant-coherence motion discrimination (CMD) task in which brief motion pulses were inserted and examined the effect of these pulses on reaction times in two conditions: when the CMD trials were blocked and subjects responded quickly and when the same CMD Trials were interleaved among trials of a variable-motion coherence task that motivated slower decisions.
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Motor cost influences perceptual decisions

TL;DR: A psychophysical experiment in which human subjects were presented with a random dot motion discrimination task and asked to report the perceived motion direction using movements of different biomechanical cost found that the pattern of decisions exhibited a significant bias towards the movement of lower cost, even when this bias reduced performance accuracy.
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An embodied biologically constrained model of foraging

TL;DR: DAC-X is proposed, a novel cognitive architecture that unifies the theoretical principles of DAC with biologically constrained computational models of several areas of the mammalian brain and supports complex foraging strategies through the progressive acquisition, retention and expression of task-dependent information.