Neuroscience

Using performance modeling for brain tissue simulations

Scientists at the EPFL Blue Brain Project have extended performance modeling techniques to the field of computational brain science. In a paper published in Neuroinformatics, they provide a quantitative appraisal of the performance ...

Medical research

New opportunity for cancer drug development

After years of research on cell surface receptors called Frizzleds, researchers at Karolinska Institutet in Sweden provide the proof-of-principle that these receptors are druggable by small molecules. The results, which are ...

Health

Impaired driving—even once the high wears off

A study by McLean Hospital's Mary Kathryn Dahlgren, Ph.D., Staci Gruber, Ph.D., and their team from McLean's Cognitive and Clinical Neuroimaging Core and the Marijuana Investigations for Neuroscientific Discovery (MIND) program, ...

Medical research

Virtual reality could help flu vaccination rates

Using a virtual reality simulation to show how flu spreads and its impact on others could be a way to encourage more people to get a flu vaccination, according to a study by researchers at the University of Georgia and the ...

Medications

Optimizing the pharmaceutical industry

Research published in the International Journal of Simulation and Process Modelling shows how integrated simulations can be used to optimize a pharmaceutical production line in a way that conventional mathematical modeling ...

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Simulation

Simulation is the imitation of some real thing, state of affairs, or process. The act of simulating something generally entails representing certain key characteristics or behaviours of a selected physical or abstract system.

Simulation is used in many contexts, including the modeling of natural systems or human systems in order to gain insight into their functioning. Other contexts include simulation of technology for performance optimization, safety engineering, testing, training and education. Simulation can be used to show the eventual real effects of alternative conditions and courses of action.

Key issues in simulation include acquisition of valid source information about the relevent selection of key characteristics and behaviours, the use of simplifying approximations and assumptions within the simulation, and fidelity and validity of the simulation outcomes.

This text uses material from Wikipedia, licensed under CC BY-SA