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Researchers find a key mechanism in the development of nerve cells

September 29, 2009

Chaos brews in the brains of newborns: the nerve cells are still bound only loosely to each other. Under the leadership of Academy Research Fellow Sari Lauri, a team of researchers at the University of Helsinki has been studying for years how a neural network capable of processing information effectively is created out of chaos.

Artificial intelligence helps diagnose cardiac infections

September 12, 2009

ROCHESTER, Minn. -- Mayo Clinic researchers say that "teachable software" designed to mimic the human brain may help them diagnose cardiac infections without an invasive exam. Those findings are being presented today at the Interscience Conference on Antimicrobial Agents and Chemotherapy (ICAAC) in San Francisco.

Ego City: Cities organized like human brains

September 3, 2009

Troy, N.Y. -- Cities are organized like brains, and the evolution of cities mirrors the evolution of human and animal brains, according to a new study by researchers at Rensselaer Polytechnic Institute.

Strictly ballroom analysis

August 26, 2009

Computer scientists in Taiwan have devised a neural network program that can successfully classify a computerized music file based on its beat and tempo. The system could be a boon for music archivists with large numbers of untagged recordings and for users searching through mislabeled mp3 libraries.

Hebrew U. researchers shed light on the brain mechanism responsible for processing of speech

August 12, 2009

Researchers from the Hebrew University of Jerusalem have succeeded for the first time in devising a model that describes and identifies a basic cellular mechanism that enables networks of neurons to efficiently decode speech in changing conditions.

Blur's noise and distortion reversed

July 10, 2009

Errant pixels and blurry regions in a photo, whether digital or scanned, are the bane of photographers everywhere. Moreover, in vision processing research degraded photos are common and require restoration to a high-quality undegraded state. Research published this month in the International Journal of Signal and Imaging Systems Engineering could provide new insights.

Pitt melanoma researchers present novel findings at ASCO

May 30, 2009

PITTSBURGH, May 30 ? Researchers from the University of Pittsburgh Cancer Institute (UPCI) have identified eight genes that help predict a melanoma patient's response to treatment. The new findings are being presented at the 45th annual meeting of the American Society of Clinical Oncology (ASCO), May 29 to June 2, in Orlando, Fla.

Pitt, Berkeley researchers reconstruct seashells to model nervous system function

April 9, 2009

PITTSBURGH--The enchantingly colored seashells that lend beaches their charm could also provide information about how the brain converts memories and sensory information into action, according to research from the University of California at Berkeley and the University of Pittsburgh published online April 7 in the Proceedings of the National Academy of Sciences (PNAS).

Gaussian adaptation as a model of a brain

December 21, 2007

To see a possible connection between Gaussian adaptation, GA, and a brain we may first look at a 2-dimensional computer simulation of the process according to the figure below. It relies on the assumption that neuron kernels may add, synapses may multiply and axons may delay signal values (in accordance with the theory of digital filters).

Storage limits found on brain's visual hard drive

April 14, 2004

Scientists have discovered the region of the brain responsible for the old adage, "out of sight, out of mind." The amount of information we can remember from a visual scene is extremely limited and the source of that limit may lie in the posterior parietal cortex, a region of the brain involved in visual short-term memory, researchers say. "Visual short-term memory is a key component of many perceptual and cognitive functions and is supported by a broad neural network, but it has a very limited storage capacity."

Researchers mimic fish for new underwater vehicle

April 14, 2003

Researchers have developed an artificial neural network for use with an autonomous underwater vehicle named Fetch. Characteristics of different fish species were compiled using the side scan sonar data. This information was then grouped into test sets used for training artificial neural networks (ANNs). The team combined the use of enhancement algorithms and image processing, in conjunction with the ANNs, to "teach" the computer to recognize the characteristics of various fish species.



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