AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Functional digital twins found that when and whether a surround facilitates or suppresses the optimal center feature depends on how congruent the surround is given that feature under natural scene statistics, consistent with hierarchical Bayesian inference.
It is found that the method alone can change the apparent structure of the network as much as real biological differences do, and practical recommendations for parameter selection, reporting, and cross-method validation in MEA-based network neuroscience are provided.
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