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Neural Computation, 2021 Active inference offers a first principle account of sentient behavior, from which special and important cases—for example, reinforcement learning, active learning, Bayes optimal inference, Bayes optimal design—can be derived. Active inference finesses the exploitation-exploration dilemma in relation to prior preferences by placing information gain on
Friston, K. +4 more
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Evaluating vaccine allocation strategies using simulation-assisted causal modeling
Patterns, 2023 Summary: We develop a model to retrospectively evaluate age-dependent counterfactual vaccine allocation strategies against the coronavirus disease 2019 (COVID-19) pandemic.
Armin Kekić +5 more
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Representation of color, form, and their conjunction across the human ventral visual pathway
NeuroImage, 2022 Despite decades of research, our understanding of the relationship between color and form processing in the primate ventral visual pathway remains incomplete.
JohnMark Taylor, Yaoda Xu
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Proceedings of the National Academy of Sciences, 2020 Significance Most statistical methods rely on certain mathematical conditions, known as regularity assumptions, to ensure their validity. Without these conditions, statistical quantities like P values and confidence intervals might not be valid.
Larry Wasserman +2 more
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Nature Communications, 2023 Epigenetic modifications are dynamic mechanisms involved in the regulation of gene expression. Unlike the DNA sequence, epigenetic patterns vary not only between individuals, but also between different cell types within an individual.
Alex Hawkins-Hooker +5 more
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The impact of wise capital on the balanced performance of small enterprises in Iraq [PDF]
Problems and Perspectives in Management, 2021 This study aims to examine the impact of wise capital on the performance of small enterprises in Iraq. Inference, innovation, social responsibility and independence are considered as wise capital dimensions.
Amel Mahmood Ali AL-Obaidi
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The Quarterly Journal of Economics, 2018 Abstract Policy makers, firms, and researchers often choose among multiple options based on estimates. Sampling error in the estimates used to guide choice leads to a winner’s curse, since we are more likely to select a given option precisely when we overestimate its effectiveness.
Toru Kitagawa +2 more
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A whole-body FDG-PET/CT Dataset with manually annotated Tumor Lesions
Scientific Data, 2022 Measurement(s) tumor lesions Technology Type(s) PET/CT Sample Characteristic - Organism Homo ...
Sergios Gatidis +9 more
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, 2023 Patterns of microcircuitry suggest that the brain has an array of repeated canonical computational units. Yet neural representations are distributed, so the relevant computations may only be related indirectly to single-neuron transformations. It thus remains an open challenge how to define canonical distributed computations. We integrate normative and
Raju, Rajkumar Vasudeva +3 more
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adabmDCA: adaptive Boltzmann machine learning for biological sequences
BMC Bioinformatics, 2021 Background Boltzmann machines are energy-based models that have been shown to provide an accurate statistical description of domains of evolutionary-related protein and RNA families.
Anna Paola Muntoni +3 more
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