The process of inference on networks of spiking neurons is essential to decipher the underlying mechanisms of brain computation and function. In this study, we conduct inference on parameters and dynamics of a mean-field approximation, simplifying the interactions of neurons. Estimating parameters of this class of generative model allows one to predict the system's dynamics and responses under changing inputs and, indeed, changing parameters.
View Article and Find Full Text PDFVirtual brain twins are personalized, generative and adaptive brain models based on data from an individual's brain for scientific and clinical use. After a description of the key elements of virtual brain twins, we present the standard model for personalized whole-brain network models. The personalization is accomplished using a subject's brain imaging data by three means: (1) assemble cortical and subcortical areas in the subject-specific brain space; (2) directly map connectivity into the brain models, which can be generalized to other parameters; and (3) estimate relevant parameters through model inversion, typically using probabilistic machine learning.
View Article and Find Full Text PDFObjectives: To assess the psychometric properties of the Coronavirus Information Overload scale (CovIO) and explore relationships between CovIO, its predictors and several health behaviours related to the COVID-19 pandemic, using Cancer Information Overload (CIO) scale results as a reference for comparison.
Methods: 2003 participants representative of the French adult population answered a self-administered questionnaire over two waves of polling (N= 1003, N= 1000). Respondents were randomized to fill CovIO or CIO scale.
Introduction: The processing of sensory information determines the development and growth of a child's abilities. Dysfunction in the processing of sensory stimuli can affect a child's behavior and can disrupt development. Sensory Regulation Disorders are frequently associated with Autism Spectrum Disorder (ASD), with the DSM-5 even including it as a diagnostic criterion.
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