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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Researchers Suggest A Proximate Cause of Cancer

AUSTIN, TX — Researchers from The University of Texas at Austin’s Department of Chemical Engineering are the first to show that mechanical property changes in cells may be responsible for cancer progression — a discovery that could pave the way for new approaches to predict, treat and prevent cancer.

Postdoctoral student Parag Katira and his adviser, Roger T. Bonnecaze, department chair in the Cockrell School of Engineering and T. Brockett Hudson Professor, worked with Muhammad Zaman of Boston University to devise a 3-D cancer model that shows the softening of cells and changes in cell binding cause cancerous behavior in cells. These mechanical property changes cause cells to divide uncontrollably — making them less likely to die and resulting in malignant tumor growth. The findings present a unique physics-based perspective on understanding cancer progression and were published recently in the American Physical Society’s journal Physical Review Letters. (more…)

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Computer Modeling of Swimming Fish Could Lead To New Robots and Prosthetics

Image credit: University of Maryland

COLLEGE PARK, Md — Scientists at the University of Maryland and Tulane University have developed a computational model of a swimming fish that is the first to address the interaction of both internal and external forces on locomotion. The interdisciplinary research team simulated how the fish’s flexible body bends, depending on both the forces from the fluid moving around it as well as the muscles inside. Understanding these interactions, even in fish, will help design medical prosthetics for humans that work with the body’s natural mechanics, rather than against them. This research is published in the October 18, 2010 online early edition of the Proceedings of the National Academy of Sciences. (more…)

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