This Collection is focused on hybrid biological models, bioinformatics, and epidemiological models. It maximizes reader understanding of control, optimization, and applications of complex biological ...
The National Academies will convene a committee to organize a workshop on navigating the benefits and biosecurity risks of communicating studies involving the use of computational modeling and ...
Researchers have reported a sample-prior-based approach to point spread function decoupling that improves system ...
Computational fluorescence microscopy (CFM) requires accurate point spread function (PSF) characterization for high-quality ...
Veronika Koren talks about pursuing a theory of neural coding that doesn’t fit a simple narrative, and the resilience it took to see it through.
Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by poor interpretability, weak generalization, and insufficient physical ...
A new theoretical framework argues that the long-standing split between computational functionalism and biological naturalism misses how real brains actually compute.
Right now, the debate about consciousness often feels frozen between two entrenched positions. On one side sits computational functionalism, which treats cognition as something you can fully explain ...
A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...
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