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http://dx.doi.org/10.1093/jalm/jfac115 | DOI Listing |
Neural Comput
January 2025
Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200437, China
Spiking neural networks (SNNs) have attracted significant interest in the development of brain-inspired computing systems due to their energy efficiency and similarities to biological information processing. In contrast to continuous-valued artificial neural networks, which produce results in a single step, SNNs require multiple steps during inference to achieve a desired accuracy level, resulting in a burden in real-time response and energy efficiency. Inspired by the tradeoff between speed and accuracy in human and animal decision-making processes, which exhibit correlations among reaction times, task complexity, and decision confidence, an inquiry emerges regarding how an SNN model can benefit by implementing these attributes.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.
Our choices are typically accompanied by a feeling of confidence-an internal estimate that they are correct. Correctness, however, depends on our goals. For example, exploration-exploitation problems entail a tension between short- and long-term goals: finding out about the value of one option could mean foregoing another option that is apparently more rewarding.
View Article and Find Full Text PDFAllergol Immunopathol (Madr)
January 2025
Department of Biological Sciences, University of Extremadura, Spain.
Objective: Asthma is an inflammatory airway condition and the most common chronic disease in children. However, there is a lack of biological markers for asthma, especially in children. This study aimed to analyze the changes in periostin levels in children with uncontrolled asthma after 12 months of optimized management.
View Article and Find Full Text PDFBioinformatics
January 2025
Department of Biological Sciences, University of Illinois at Chicago, Illinois 60607, United States.
Motivation: Recent advancements in parallel sequencing methods have precipitated a surge in publicly available short-read sequence data. This has encouraged the development of novel computational tools for the de novo assembly of transcriptomes from RNA-seq data. Despite the availability of these tools, performing an end-to-end transcriptome assembly remains a programmatically involved task necessitating familiarity with best practices.
View Article and Find Full Text PDFDuring early development, embryos coordinate the growth of different tissues to ensure that they reach the correct proportions. A new paper in Development shows that tissue scaling occurs in the tail of the post-gastrulation zebrafish embryo. The study suggests that this scaling is underpinned by multi-tissue tectonics, a mechanism whereby the deformation of one growing tissue can impact the dynamics of a neighbouring tissue.
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