Articles tagged with Human Brain Models
A new computer model, Recursive Cortical Network (RCN), has been developed that can solve CAPTCHA and identify handwritten digits with comparable accuracy to state-of-the-art deep learning approaches but using significantly less training data.
Researchers propose a stochastic differential equation model to simulate musical performance synchronization. The model accounts for internal tempo preservation, noise distraction, and phase correction.
A team of researchers has developed an open software platform to simulate a complete model of the adult fruit fly brain for the first time. The platform will enable global collaboration and accelerate model development, providing insights into diseases such as Alzheimer's and motor neurone disease.
Researchers have developed a nearly complete human brain model, engineered from adult human skin cells, with an identifiable structure and containing 99% of the genes present in the human fetal brain. The lab-grown brain has the potential to accelerate studies of genetic and environmental causes of central nervous system disorders.
A QUT researcher has developed a new navigation system for robots using computer algorithms that mimic the human eye and rat brain. This technology could improve robotic navigation in complex environments and even help researchers understand spatial memory loss in diseases like Alzheimer's.
Researchers at Emory University have confirmed their methods and results by replicating a previous study involving 13 dogs. The experiment showed that most dogs exhibited a positive response in the caudate region when given a hand signal indicating a treat, suggesting similarities with human brain function.
Researchers have developed a model of the pig brain to study human cognitive development, characterizing normal brain growth trajectory from neonatal period to sexual maturity. The model provides unique insights into brain structure and function, including effects of prenatal infections and early-life nutrition on brain development.
Scientists at RIKEN Brain Science Institute discovered mechanisms that enable the brain to focus by efficiently routing relevant information. The study found that sensory signals with high contrast evoke large sensory responses, disrupting focus.
The human brain operates in a self-organized critical state, characterized by optimal memory and information-processing capacity. Researchers used brain imaging techniques to measure synchronization between brain regions, finding dynamic changes consistent with critical dynamics.
A new computer model developed at the McGovern Institute for Brain Research at MIT has been shown to perform as well as humans on rapid visual categorization tasks, even making similar errors. The model follows the organization of the brain's visual system and can help neuroscientists explore brain mechanisms involved in human visual p...