Results 51 to 60 of about 4,703,918 (382)
Leptin signaling and leptin resistance
Medical Review, 2022 With the prevalence of obesity and associated comorbidities, studies aimed at revealing mechanisms that regulate energy homeostasis have gained increasing interest. In 1994, the cloning of leptin was a milestone in metabolic research. As an adipocytokine,
Liu Jiarui +3 more
doaj +1 more source
Regulation of Neural Circuitry under General Anesthesia: New Methods and Findings
Biomolecules, 2022 General anesthesia has been widely utilized since the 1840s, but its underlying neural circuits remain to be completely understood. Since both general anesthesia and sleep are reversible losses of consciousness, studies on the neural-circuit mechanisms ...
Kai Zhang, Jiacheng Pan, Yonghao Yu
doaj +1 more source
A Data-Driven Approach for Discovering the Most Probable Transition Pathway for a Stochastic Carbon Cycle System [PDF]
, 2022 Many natural systems exhibit tipping points where changing environmental conditions spark a sudden shift to a new and sometimes quite different state. Global climate change is often associated with the stability of marine carbon stocks. We consider a stochastic carbonate system of the upper ocean to capture such transition phenomena.
arxiv +1 more source
Transcriptomics reveal an integrative role for maternal thyroid hormones during zebrafish embryogenesis [PDF]
, 2017 Thyroid hormones (THs) are essential for embryonic brain development but the genetic mechanisms involved in the action of maternal THs (MTHs) are still largely unknown.
A Tallafuss +63 more
core +2 more sources
Journal of neuroendocrinology, 2019 Much progress has been made during the past 30 years with respect to elucidating the neural and endocrine pathways by which bodily needs for water and energy are brought to conscious awareness through the generation of thirst and hunger.
M. McKinley +5 more
semanticscholar +1 more source
A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network [PDF]
Healthcare, 2021 In this paper, we present a fully automatic brain tumor segmentation and classification model using a Deep Convolutional Neural Network that includes a multiscale approach.
F. Pernas +3 more
semanticscholar +1 more source
On Model Explanations with Transferable Neural Pathways [PDF]
arXiv, 2023 Neural pathways as model explanations consist of a sparse set of neurons that provide the same level of prediction performance as the whole model. Existing methods primarily focus on accuracy and sparsity but the generated pathways may offer limited interpretability thus fall short in explaining the model behavior.
arxiv
SciMedicine Journal, 2019 The voluminous daily output of autism research has become increasingly disconnected, existing largely within highly specific subspecialty areas, and lacking cross-disciplinary linkages of context, theory, and findings to inform a unified body of ...
Adam Swierczynski
doaj +1 more source
Neural Response Interpretation through the Lens of Critical Pathways [PDF]
arXiv, 2021 Is critical input information encoded in specific sparse pathways within the neural network? In this work, we discuss the problem of identifying these critical pathways and subsequently leverage them for interpreting the network's response to an input.
arxiv
A Connectomic Analysis of the Human Basal Ganglia Network
Frontiers in Neuroanatomy, 2017 The current model of basal ganglia circuits has been introduced almost two decades ago and has settled the basis for our understanding of basal ganglia physiology and movement disorders.
Alberto Cacciola +11 more
doaj +1 more source