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Learning is essential. It allows animals to change circumstances, deal with new situations and adapt to environments. Here, we argue that learning, at behavioral and neural levels, involves efficiency, reflected in metabolic cost reductions. Behaviourally, although multiple solutions to a novel problem may be available, all solutions are not learnt - it is too costly. Furthermore, once a strategy has been selected, it is reinforced producing an efficiency that leads to a maximisation of performance and metabolic cost reductions. Learning can be represented in the brain through many mechanisms; however, if learning is truly efficient, then, all such mechanisms should also be accompanied by a reduction in measurable metabolic costs. By thinking about learning in terms of efficiency, not simply as a descriptive term but rather in terms of metabolic costs, it allows learning to be examined more carefully and provides predictions that can be easily tested (and indeed refuted).
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http://dx.doi.org/10.1515/revneuro-2017-0050 | DOI Listing |
PLoS One
September 2025
Department of Neurology, Hospital Universitario Miguel Servet, Zaragoza, Spain.
Background: Stroke is a leading cause of death and disability globally, with frequent cognitive sequelae affecting up to 60% of stroke survivors. Despite the high prevalence of post-stroke cognitive impairment (PSCI), early detection remains underemphasized in clinical practice, with limited focus on broader neuropsychological and affective symptoms. Stroke elevates dementia risk and may act as a trigger for progressive neurodegenerative diseases.
View Article and Find Full Text PDFAm J Med Genet A
September 2025
Down Syndrome Program, Division of Medical Genetics and Metabolism, Department of Pediatrics, Massachusetts General Hospital, Boston, Massachusetts, USA.
To study the use of a dementia screening tool in our clinic cohort of adults with Down syndrome. To evaluate the functionality of the NTG-EDSD for Dementia as part of a dementia screening protocol for adults with Down syndrome, we conducted a cohort analysis of patients aged 40 and older followed at the Massachusetts General Hospital Down Syndrome Program, noting any clinical interpretation of dementia or mild cognitive impairment (MCI). From September 2023 to September 2024, 54 NTG-EDSD responses were collected.
View Article and Find Full Text PDFJDS Commun
September 2025
Department of Food Science, University of Wisconsin-Madison, Madison, WI 53706.
There is a need for sustainable food production and processing that reduces resource use and increases the availability of nutritious, innovative, and sustainable food. A coordinated, multisectoral approach across the food supply chain is essential to address global food and nutrition insecurity. The dairy industry produces abundant bioactive compound streams that can be examined for their valuable functionalities.
View Article and Find Full Text PDFJ Obes Metab Syndr
September 2025
Department of Medicine, College of Medicine, Kyung Hee University, Seoul, Korea.
Although the prevalence of obesity is increasing worldwide, related treatment remains a complex challenge that requires multidimensional approaches. Recent advancements in artificial intelligence (AI) have led to the development of multimodal methods capable of integrating diverse types of data. These AI approaches utilize both multimodal data integration and multidimensional feature representations, enabling personalized, data-driven strategies for obesity management.
View Article and Find Full Text PDFExpert Rev Gastroenterol Hepatol
September 2025
Department of Interdisciplinary Medicine, University of Bari "Aldo Moro", Bari, Italy.
Introduction: Metabolic dysfunction-associated steatotic liver disease (MASLD) encompasses a spectrum of conditions from simple steatosis to advanced fibrosis that may represent the cradle for hepatocellular carcinoma. Thus, an accurate assessment of fibrosis is critical for patient management. Noninvasive tools, including serum biomarkers and imaging techniques, have emerged as practical alternatives to liver biopsy, which presents limitations for invasiveness, cost, and sampling variability.
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