In studying the brain activity of test subjects as they decided to make either generous or selfish choices in range of circumstances, Caltech researchers found that a simple computational model could explain and understand altruistic behavior.
Researchers from Caltech have isolated a very specific difference in how high-functioning people with autism think about other people, finding that—in actuality—they don’t tend to think about what others think of them at all.
When making decisions based on multiple interdependent factors—such as what combination of stocks and bonds to invest in—humans look at how the factors correlate with each other, according to a new study by researchers from Caltech and University College London.
The sky is gray, but you're not sure if the clouds will clear or rain will pour. Do you grab an umbrella when you go outside? Such decisions are filled with ambiguity, and we're faced with them daily. "Almost every decision has some ambiguity," says Kota Saito, an economist who develops empirical and mathematical models on how people make decisions—insight that can inform socioeconomic policy. This fall, he joins Caltech as an assistant professor and the newest faculty member of the Division of the Humanities and Social Sciences.
Choosing what to have for dinner, it turns out, is a complex neurological exercise. But, according to researchers from the California Institute of Technology (Caltech), it's one that can be influenced by a simple shifting of attention toward the healthy side of life. And that shift may provide strategies to help us all make healthier choices—not just in terms of the foods we eat, but in other areas, like whether or not we pick up a cigarette.
Artificial intelligence has been the inspiration for countless books and movies, as well as the aspiration of countless scientists and engineers. Researchers at Caltech have now taken a major step toward creating artificial intelligence—not in a robot or a silicon chip, but in a test tube. The researchers are the first to have made an artificial neural network out of DNA, creating a circuit of interacting molecules that can recall memories based on incomplete patterns, just as a brain can.
In many ways, life is like a computer. An organism's genome is the software that tells the cellular and molecular machinery—the hardware—what to do. But instead of electronic circuitry, life relies on biochemical circuitry—complex networks of reactions and pathways that enable organisms to function. Now, researchers at Caltech have built the most complex biochemical circuit ever created from scratch, made with DNA-based devices in a test tube that are analogous to the electronic transistors on a computer chip.
When a group of gamblers gather around a roulette table, individual players are likely to have different reasons for betting on certain numbers. Recently, researchers at the California Institute of Technology (Caltech) and Ireland's Trinity College Dublin hedged their bets—and came out winners—when they proposed that a certain region of the brain drives these different types of decision-making behaviors.
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?"
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.
Our belief as to whether we will likely succeed or fail at a given task—and the consequences of winning or losing—directly affects the levels of neural effort put forth in movement-planning circuits in the human cortex, according to a new brain-imaging study by Caltech neuroscientists.