Princeton neuroscientists crack the code of how we make decisions
Peer-Reviewed Publication
Updates every hour. Last Updated: 29-Jun-2025 01:10 ET (29-Jun-2025 05:10 GMT/UTC)
A new mathematical model sheds light on how the brain processes different cues, such as sights and sounds, during decision making. The findings from Princeton neuroscientists may one day improve how brain circuits go awry in neurological disorders, such as Alzheimer’s, and could help artificial brains, like Alexa or self-driving car technology, more helpful.
The continued intensification of global warming has made extreme heat events an increasingly severe threat to crop production. Cotton, as a globally important economic crop and a strategic pillar of China’s textile industry, faces significant challenges from frequent extreme high-temperature events during the summer. The high overlap between extreme heat and the blooming and boll-setting stages of cotton leads to issues such as pollen inactivation, anther non-dehiscence, and bud and boll shedding, severely affecting cotton yield and quality. This has become a critical bottleneck restricting the high-quality development of the cotton industry. Therefore, breeding heat-tolerant cotton capable of withstanding high-temperature stress has become an urgent need in the field of crop breeding.
Incorporating trace amounts of Cu atoms into n-type Bi2(Te, Se)3 simultaneously realizes lattice plainification and band structure engineering, thus substantially facilitating thermoelectric transport and leading to excellent device efficiencies.
Kyoto, Japan -- Imagine you're cooking. You're trying to develop a unique flavor by mixing spices you've never combined before. Predicting how this will turn out could be tricky. You want to create something delicious, but it could end up tasting awful: a waste of time and ingredients.
But what if you had a machine that could tell you exactly how your concoctions will turn out? That's the kind of technology that researchers at Kyoto University have developed for the band gap of semiconductor materials.
New such materials are constantly sought after in the development of new devices and improved performance. The most important factor in determining the properties of semiconductors is the band gap, so accurate predictions are essential.
A new study has unveiled a new strategy to enhance lithium-organic batteries by optimizing the active-site density, accessibility, and reactivity in polyimide cathode materials. This innovative approach offers the potential for batteries with higher capacity, faster charge rates, and improved cycling stability—pushing the boundaries of sustainable energy storage technology.