Neurobiology research combining laser scanning and electron microscopy, novel neuroimaging techniques and neural network modeling is providing new insight into how real neural circuits may behave.
Simplifying cyborg circuitry using human blood Could electronic components made from human blood be the key to creating cyborg interfaces?...
Molecular soup exhibits brainlike behavior Artificial intelligence has been the inspiration for countless books and movies, as well as the...
Max Planck scientists develop new analytical tools for the fast and accurate reconstruction of neural networks. The human brain is...
Scientists model brain structure to help computers recognize objects An essential question confronting neuroscientists and computer vision researchers alike is...
Quite early in its development, the mammalian brain has all the raw materials on hand to forge complex neural networks....
Scientists have discovered proof that the evolution of intelligence and larger brain sizes can be driven by cooperation and teamwork,...
Nanotechnology scientists and memory researchers at the Kiel University redesigned a mental learning process using electronic circuits. The bell rings...
Roke Manor Research Ltd has developed the world's first threat monitoring system for autonomous vehicles that emulates a mammal's conditioned fear-response mechanism.
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.
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.
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.
