Publications by authors named "Ramon Nogueira"

Goal-directed tasks involve acquiring an internal model, known as a predictive map, of relevant stimuli and associated outcomes to guide behavior. Here, we identified neural signatures of a predictive map of task behavior in perirhinal cortex (Prh). Mice learned to perform a tactile working memory task by classifying sequential whisker stimuli over multiple training stages.

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Social preference, the decision to interact with one member of the same species over another, is critical to optimize social interactions. Thus, adult rodents favor interacting with novel conspecifics over familiar ones, but whether this social preference stems from neural circuits facilitating interactions with novel individuals or suppressing interactions with familiar ones remains unknown. Here, we identify neurons in the infra-limbic area (ILA) of the mouse prefrontal cortex that express the neuropeptide corticotropin-releasing hormone (CRH) and project to the dorsal region of the rostral lateral septum (rLS).

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Goal-directed tasks involve acquiring an internal model, known as a predictive map, of relevant stimuli and associated outcomes to guide behavior. Here, we identified neural signatures of a predictive map of task behavior in perirhinal cortex (Prh). Mice learned to perform a tactile working memory task by classifying sequential whisker stimuli over multiple training stages.

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Article Synopsis
  • Researchers examined how neurons in the somatosensory cortex of mice encode information while the mice touch objects with their whiskers, revealing complex non-linear functions rather than simple linear responses.
  • High-speed videos showed that mice could solve the task of curving detection by integrating information from multiple whisker contacts over time.
  • Despite seemingly chaotic neural responses, a structured representational geometry was discovered, enabling linear mechanisms to effectively manage a variety of complex tasks while adapting to new challenges.
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Article Synopsis
  • Humans and animals use active touch to identify objects, which involves coordinating movement and sensory feedback based on their goals.
  • * Researchers created a task for mice to distinguish between concave and convex shapes, finding that behavior varied based on whether the task was shape discrimination or detection.
  • * Recordings from the barrel cortex revealed that neurons encoded information differently depending on the task, emphasizing the importance of relevant whiskers during shape discrimination, suggesting sensory processing is tailored to specific behavioral needs.
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Ketamine is a dissociative anesthetic drug, which has more recently emerged as a rapid-acting antidepressant. When acutely administered at subanesthetic doses, ketamine causes cognitive deficits like those observed in patients with schizophrenia, including impaired working memory. Although these effects have been linked to ketamine's action as an N-methyl-D-aspartate receptor antagonist, it is unclear how synaptic alterations translate into changes in brain microcircuit function that ultimately influence cognition.

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How is information distributed across large neuronal populations within a given brain area? Information may be distributed roughly evenly across neuronal populations, so that total information scales linearly with the number of recorded neurons. Alternatively, the neural code might be highly redundant, meaning that total information saturates. Here we investigate how sensory information about the direction of a moving visual stimulus is distributed across hundreds of simultaneously recorded neurons in mouse primary visual cortex.

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Shared neuronal variability has been shown to modulate cognitive processing. However, the relationship between shared variability and behavioral performance is heterogeneous and complex in frontal areas such as the orbitofrontal cortex (OFC). Mounting evidence shows that single-units in OFC encode a detailed cognitive map of task-space events, but the existence of a robust neuronal ensemble coding for the predictability of choice outcome is less established.

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Identifying the features of population responses that are relevant to the amount of information encoded by neuronal populations is a crucial step toward understanding population coding. Statistical features, such as tuning properties, individual and shared response variability, and global activity modulations, could all affect the amount of information encoded and modulate behavioral performance. We show that two features in particular affect information: the modulation of population responses across conditions (population signal) and the inverse population covariability along the modulation axis (projected precision).

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Characterizing how network state modulates cortical dynamics and information processing is an important step for understanding the neural code. In 2010, Churchland et al. reported wide experimental evidence showing that spontaneous and stimulus-evoked conditions are two distinct states, as indicated by a marked reduction of neuronal variability after stimulus onset.

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Nowadays, it is possible to record the activity of hundreds of cells at the same time in behaving animals. However, these data are often treated and analyzed as if they consisted of many independently recorded neurons. How can neuronal populations be uniquely used to learn about cognition? We describe recent work that shows that populations of simultaneously recorded neurons are fundamental to understand the basis of decision-making, including processes such as ongoing deliberations and decision confidence, which generally fall outside the reach of single-cell analysis.

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Adaptive behavior requires integrating prior with current information to anticipate upcoming events. Brain structures related to this computation should bring relevant signals from the recent past into the present. Here we report that rats can integrate the most recent prior information with sensory information, thereby improving behavior on a perceptual decision-making task with outcome-dependent past trial history.

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Unlabelled: The wcd system is an open source tool for clustering expressed sequence tags (EST) and other DNA and RNA sequences. wcd allows efficient all-versus-all comparison of ESTs using either the d(2) distance function or edit distance, improving existing implementations of d(2). It supports merging, refinement and reclustering of clusters.

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Using phylogenetic analysis and pairwise comparison of 670 complete hepatitis B virus (HBV) genomes, we demonstrated that nucleotide divergence greater than 7.5% can be used to separate strains into genotypes A-H. Strains can be separated into subgenotypes when two criteria are met: nucleotide divergence of about 4% but less than 7.

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Background: Lansoprazole, a new proton pump inhibitor, is now available in Mexico. It has been tested elsewhere with excellent results.

Aim: To study its safety and efficacy in Mexican patients.

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