Researchers are using memristors, electronic microcomponents which imitate natural nerves, as key components to create a blueprint for an artificial brain.
New research shows how police forces might be able to target efforts to reduce violence and raise officer attention to dangerous areas with the help of high-powered computers. Using real police data, researchers were able to demonstrate the promise of computer models for targeting violent areas.
Researchers developed nanomachines which recreate principal activities of proteins. They present the first versatile and modular example of a fully artificial protein-mimetic model system.
In a new study, a small, two-wheeled robot was driven by a male silkmoth to track down the sex pheromone usually given off by a female mate.
Rensselaer becomes the first university of receive a version of IBM's Watson system. Rensselaer hopes to find new uses for Watson and develop its cognitive capabilities, as well as using the system for Big Data research.
Simulating 25,000 generations of evolution within computers, researchers discover why biological networks tend to be organized as modules, a finding that will lead to a deeper understanding of the evolution of complexity.
Researchers found that neurons team up together to sway particular outcomes in the brain and take over the nervous system in the name of their preferred action or behavior.
Researchers attempt to improve robot behavior by means of perception models closer to those of humans. One of the experiments involves a robot simulation in which an agent has to discriminate between what we could call an acne pimple and a bite or lump on the skin.
Proof of concept: Researchers identify principles to support brain simulation models. Blue Brain Project has identified key principles that determine synapse-scale connectivity by virtually reconstructing a cortical microcircuit and comparing it to a mammalian sample. These principles now make it possible to predict the locations of synapses in the neocortex.
Scientists used an electronic prosthetic system to tap into existing circuitry in the brain at the cellular level and record the firing patterns of multiple neurons in the prefrontal cortex, the part of the brain involved in decision-making. They then “played” that recording back to the same brain area to electrically stimulate decision-based neural activity. Not only did it restore function, in some cases, it also improved it.
Researchers decipher the retina's neural code for brain communication to create novel, more effective prosthetic retinal device for blindness.
Neuroscientists report that two major classes of brain cells repress neural activity in specific mathematical ways: One type subtracts from overall activation, while the other divides it.
