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| http://dx.doi.org/10.1523/JNEUROSCI.4151-13.2013 | DOI Listing |
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Adaptive coupling between neurons widens the entrainment range of the suprachiasmatic nucleus.
Phys Rev E
September 2024
Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden 2300RC, Netherlands.
Article Synopsis
- * The suprachiasmatic nucleus (SCN) is the brain's main clock and shows adaptability in its neural connections, which helps it synchronize with the external light-dark cycle, known as entrainment.
- * This study explored how adaptive coupling impacts the SCN's ability to synchronize, finding that stronger light sensitivity, combined with adaptive coupling, can expand the range of light-dark cycles the SCN can effectively entrain to.
Dominance hierarchy regulates social behavior during spatial movement.
Front Neurosci
February 2024
Centro Integrativo de Neurociencias y Departamento de Psiquiatría, Pontificia Universidad Católica de Chile, Santiago, Chile.
Rodents establish dominance hierarchy as a social ranking system in which one subject acts as dominant over all the other subordinate individuals. Dominance hierarchy regulates food access and mating opportunities, but little is known about its significance in other social behaviors, for instance during collective navigation for foraging or migration. Here, we implemented a simplified goal-directed spatial task in mice, in which animals navigated individually or collectively with their littermates foraging for food.
View Article and Find Full Text PDFContribution of speech rhythm to understanding speech in noisy conditions: Further test of a selective entrainment hypothesis.
Atten Percept Psychophys
February 2024
Department of Psychology, Michigan State University, East Lansing, MI, USA.
Previous work by McAuley et al. Attention, Perception, & Psychophysics, 82, 3222-3233, (2020), Attention, Perception & Psychophysics, 83, 2229-2240, (2021) showed that disruption of the natural rhythm of target (attended) speech worsens speech recognition in the presence of competing background speech or noise (a target-rhythm effect), while disruption of background speech rhythm improves target recognition (a background-rhythm effect). While these results were interpreted as support for the role of rhythmic regularities in facilitating target-speech recognition amidst competing backgrounds (in line with a selective entrainment hypothesis), questions remain about the factors that contribute to the target-rhythm effect.
View Article and Find Full Text PDFThe ReadFree tool for the identification of poor readers: a validation study based on a machine learning approach in monolingual and minority-language children.
Ann Dyslexia
October 2023
DISTUM, Department of Humanities, University of Urbino Carlo Bo, Urbino, Italy.
In this study, we validated the "ReadFree tool", a computerised battery of 12 visual and auditory tasks developed to identify poor readers also in minority-language children (MLC). We tested the task-specific discriminant power on 142 Italian-monolingual participants (8-13 years old) divided into monolingual poor readers (N = 37) and good readers (N = 105) according to standardised Italian reading tests. The performances at the discriminant tasks of the "ReadFree tool" were entered into a classification and regression tree (CART) model to identify monolingual poor and good readers.
View Article and Find Full Text PDFModel simulations unveil the structure-function-dynamics relationship of the cerebellar cortical microcircuit.
Commun Biol
November 2022
Department of Brain and Behavioral Sciences, University of Pavia, Via Forlanini 6, 27100, Pavia, Italy.
The cerebellar network is renowned for its regular architecture that has inspired foundational computational theories. However, the relationship between circuit structure, function and dynamics remains elusive. To tackle the issue, we developed an advanced computational modeling framework that allows us to reconstruct and simulate the structure and function of the mouse cerebellar cortex using morphologically realistic multi-compartmental neuron models.
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