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Someday, the understanding of computational processes may be indispensable for people in all occupations.
Another known programming challenge in the literature is students' lack of understanding of computational processes.
Understanding the "translation" of synaptically driven fluctuations of membrane potential to spike events is of key importance to our understanding of computational processes in the brain.
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(For a useful discussion of varieties of computational processes and their classification, see Piccinini 2008).
In turn, this requires a formal understanding of these processes in computational terms.
Dr. Aniko Szabo Division of Biostatistics, Medical College of Wisconsin This is a fascinating paper that combines detailed understanding of biological processes with modern computational solutions.
In this paper, we present a research study with CTSiM (Computational Thinking in Simulation and Modeling)—computational thinking-based learning environment for K-12 science, where students build and simulate computational models to study and gain an understanding of science processes.
Because biology is increasingly computational, her expertise is vital in gaining deeper understanding of cellular processes.
Such simplifying assumptions are common in scientific models due to incomplete understanding of the processes involved, unavailability of analytical solutions or limitations in computational resources.
The integration of computational and laboratory research has the potential to lead to improved understanding of biological processes, mechanisms of disease, and drug development.
By combining the power of computational techniques with psychophysiology studies, researchers can generate far more in-depth data analyses and a greater understanding of the processes underlying behavior.
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