Submitted by lorio on Wed, 2010-09-15 07:00
When it comes to making choices, say Caltech's Antonio Rangel and his colleagues, much depends on which items catch—and keep—your eye. "We're interested in how the brain makes simple choices, like which item to pick from a buffet table," says Rangel, professor of neuroscience and economics. "Why is it that when we look at the buffet table, our gaze shifts back and forth between the items in order to make a choice? What is the role of visual attention in all this?"
Submitted by lorio on Tue, 2010-09-07 23:00
We've all heard the predictions: e-commerce is going to be the death of traditional commerce; online shopping spells the end of the neighborhood brick-and-mortar store. While it's true that online commerce has had an impact on all types of retail stores, it's not time to bring out the wrecking ball quite yet, says a team of researchers from Caltech.
Submitted by ksvitil on Wed, 2010-05-26 16:00
The process of learning requires the sophisticated ability to constantly update our expectations of future rewards so we may make accurate predictions about those rewards in the face of a changing environment. Although exactly how the brain orchestrates this process remains unclear, a new study by researchers at the California Institute of Technology (Caltech) suggests that a combination of two distinct learning strategies guides our behavior.
Submitted by Anonymous (not verified) on Thu, 2010-05-13 07:00
Burton H. Klein, professor of economics, emeritus, at the California Institute of Technology (Caltech) passed away on February 12 at a retirement home in Santa Barbara, California. He was 92.
Submitted by lorio on Tue, 2010-04-20 07:00
Parents pursuing adoption within the United States have strong preferences regarding the types of babies they will apply for, tending to choose non-African-American girls, and favoring babies who are close to being born as opposed to those who have already been born or who are early in gestation. These preferences are significant and can be quantified in terms of the amount of money the potential adoptive parents are willing to pay in finalizing their adoption.
Submitted by Anonymous (not verified) on Wed, 2010-02-24 08:00
Research in genomic sciences, astronomy, seismology, and neuroeconomics are some of the many projects being funded at the California Institute of Technology (Caltech) by the American Recovery and Reinvestment Act (ARRA).
Submitted by lorio on Wed, 2010-02-24 08:00
The human brain is a big believer in equality—and a team of scientists from the California Institute of Technology (Caltech) and Trinity College in Dublin, Ireland, has become the first to gather the images to prove it. Specifically, the team found that the reward centers in the human brain respond more strongly when a poor person receives a financial reward than when a rich person does.
Submitted by ksvitil on Mon, 2010-02-22 20:00
A collaborative team of neuroscientists at Caltech, the University of Iowa, the University of Southern California, and the Autonomous University of Madrid have mapped the brain structures that affect general intelligence. The study, published the week of February 22 in the early edition of the Proceedings of the National Academy of Sciences, adds new insight to a highly controversial question: What is intelligence, and how can we measure it?
Submitted by ksvitil on Mon, 2010-02-08 20:01
Caltech neuroscientists and their colleagues have tied the human aversion to losing money to a specific structure in the brain—the amygdala. The finding, described in the latest online issue of the Proceedings of the National Academy of Sciences, offers insight into economic behavior, and also into the role of the amygdala, which registers rapid emotional reactions and is implicated in depression, anxiety, and autism.
Submitted by lorio on Thu, 2009-09-10 18:00
Economists and neuroscientists from Caltech have shown that they can use information obtained through fMRI measurements of whole-brain activity to create feasible, efficient, and fair solutions to one of the stickiest dilemmas in economics, the public goods free-rider problem—long thought to be unsolvable. This is one of the first-ever applications of neurotechnology to real-life economic problems, the researchers note.