Tag Archives: computational model

Subconscious mental categories help brain sort through everyday experiences

Your brain knows it’s time to cook when the stove is on, and the food and pots are out. When you rush away to calm a crying child, though, cooking is over and it’s time to be a parent. Your brain processes and responds to these occurrences as distinct, unrelated events.

But it remains unclear exactly how the brain breaks such experiences into “events,” or the related groups that help us mentally organize the day’s many situations. A dominant concept of event-perception known as prediction error says that our brain draws a line between the end of one event and the start of another when things take an unexpected turn (such as a suddenly distraught child). (more…)

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A Boost for Analyzing Biological Sequences

UA computer scientists John Kececioglu and Dan DeBlasio are developing improved software that provides biologists with much more accurate results when analyzing sequence data.

Imagine trying to construct a brick building with fewer than the requisite number of bricks and without a detailed blueprint.

Welcome to the world of computational biologists.

When biologists study proteins, DNA, or other biological molecules that are represented in the computer as sequences, they rely on known information but also must predict missing data. Given that reality, major challenges exist to having accurate results. (more…)

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