Articles tagged with Human Brain
Researchers have demonstrated the existence of grid-like activity in the human brain using electrophysiological evidence. Grid cells encode spatial positions evenly distributed across space, creating a honeycomb pattern that tiles the environment.
Researchers transplanted human brain cells into mice brains to study the development and function of these cells in a natural environment. The study found that brain cells from individuals with Down syndrome were less coordinated but more stable than those without the condition.
Researchers at DGIST developed an artificial synaptic device that simulates the human brain's memory function. The device uses tantalum oxide to mimic synapses and has overcome durability limitations of current devices. It can store multiple values, reducing power consumption by over one-thousandth compared to digital signals.
Researchers discover a new type of human brain cell that has never been seen in mice and other laboratory animals. These 'rosehip neurons' may play a role in fine-level control between regions of the human brain, and their absence in rodents suggests difficulties in modeling human brain diseases.
Researchers at Wyss Institute create brain organ chip model, called BBB-Brain Chip system, to study the effects of drugs like methamphetamine on the brain and its blood vessels. The system, which includes linked chips with microfluidic channels, reacts like human brain tissue and shows how cells interact to regulate function.
The Virtual Brain platform will be integrated into the Human Brain Project, enabling researchers to better understand the brain and develop personalized diagnostic and treatment options. This collaboration aims to accelerate adoption of TVB among European researchers and advance brain health throughout lifetimes.
A study led by LMU researchers confirms the presence of magnetic particles in human brains, with striking asymmetry in their distribution. The particles were primarily found in the cerebellum and brainstem, but their chemical nature remains unknown.
Researchers developed an artificial synapse inspired by the human brain, which efficiently processes information and demonstrates excellent energy efficiency. This breakthrough could lead to the development of energy-efficient neuromorphic computing, revolutionizing AI devices and transforming industries.
The Virtual Brain neuroinformatics platform is integrating into the EU's Flagship Human Brain Project to promote efficiency and reproducibility in research. The platform will enable researchers to refine computer models, develop efficient simulation technology, and improve study reproducibility.
A new brain-inspired computer called SpiNNaker has been developed to mimic the human brain's neural networks. It produces results similar to the best brain-simulation supercomputer software currently used for neural-signaling research, advancing our knowledge of neural processing in the brain.
Neuroscientists from Caltech have discovered neurons in the human brain that respond when targets are spotted, revealing insights into how we perform visual searches. The study found two distinct populations of neurons in the medial temporal lobe, one recognizing objects based on appearance and another focusing on goal-directed relevance.
A set of three new genes involved in nerve cell generation may have contributed to the rapid evolution of the large human brain. These genes, which emerged around 3.5 million years ago, offer clues about what separates humans from chimpanzees.
Researchers found that people who generalize from negative events, such as pain or loss, report a greater experience of anxious feelings and intrusive thoughts. The study suggests that analyzing complex behavioral processes can help tailor treatments more effectively for people with anxiety.
A team of scientists has developed a novel tissue clearing solution, OPTIClear, to visualize microscopic structures in the human brain. This breakthrough enables high-resolution imaging of neuronal circuitries and could accelerate research on brain diseases such as Alzheimer's and Parkinson's.
Researchers used mathematical models to re-enact brain development in humans, monkeys, and mice, finding that the human brain requires fewer initial cells to grow. The study suggests that humans may have adopted a different developmental program to produce neurons efficiently within a longer gestational period.
Researchers created a genetically engineered ferret with a mutation linked to abnormally small human brain size, revealing an evolutionary mechanism governing cerebral cortical size. The study suggests that genes responsible for centriole function played a crucial role in the expansion of human brains over time.
Research at Goethe University Frankfurt reveals that the human brain prepares for dawn and dusk by reducing resting activity in the visual cortex, allowing it to process weak visual stimuli more effectively during these times. This mechanism may have provided an evolutionary advantage in the pre-industrial era.
A bioinformatics professor and his colleague used GitHub as their writing platform to collaborate on a paper about deep learning in biology and medicine. The paper has been massively rewritten and revised by online collaborators, resulting in over 40 co-authors.
Researchers are using artificial networks to enhance their understanding of the human brain's complex systems. By parsing out contextual clues in image recognition, they can gain insights into how humans perceive and process information.
Researchers found that the right hemisphere equivalent of Broca's area processes musical non-local dependencies, and that this processing is integrated with working memory to determine grammatical rules. The study uses a novel 'genre' of music to tease apart contributions of local and non-local dependencies.
Researchers at Carnegie Mellon University have created a conversational agent, Evorus, that can answer a wide range of questions using a human/machine hybrid system. The system, which combines crowd workers and AI, allows the agent to learn and improve over time, making it more accurate and effective in its responses.
Researchers found that the modern human brain shape developed gradually within the species, with fossils showing a transition from elongated to globular shapes between 100,000 and 35,000 years ago. This evolution was independent of brain size and was accompanied by changes in early brain development.
Researchers found that jazz pianists' brains plan movements differently than classical pianists, with a focus on improvisation and flexibility. Classical pianists, on the other hand, prioritize technique and expression, leading to differences in brain activity when playing the same piece.
UCLA researchers have developed a map of gene regulation in human neurogenesis, identifying factors that govern brain growth and set the stage for brain disorders. The study reveals key genes involved in neurogenesis and their roles in human cognition.
Researchers found that real objects exert a stronger influence on attention and manual responses compared to computerized images of the same objects. This effect was observed even when stimuli were out of reach or behind a barrier, suggesting that the potential for action plays a key role in attention allocation.
Researchers have developed a more detailed map of the human brain's cellular diversity, identifying 35 subtypes of neurons and glial cells linked to various brain disorders. The study provides insights into genetic risk factors for diseases like Alzheimer's, Parkinson's, schizophrenia, and bipolar disorder.
Researchers found that pigeons process space and time in ways similar to humans and other primates, using a common neural coding mechanism. This suggests that abstract concepts are not processed separately and that lower-order animal species can exhibit high-level decision-making abilities.
A study published in eLife reveals that certain mammalian neurons have shapes and electrical properties well-suited for deep learning. The algorithm simulates how these neurons collaborate to achieve deep learning, offering a more biologically realistic approach.
Researchers found that language learners prefer word orders with shorter dependencies, which are easier to process, suggesting a causal link between human cognition and language structure. This discovery provides new insights into the role of human information processing in shaping linguistic universals.
Researchers at Kent State University analyzed primate brains to identify differences in dopamine-related gene expression, finding that humans have more tyrosine hydroxylase interneurons than other species. This discovery suggests that the neurotransmitter dopamine plays a crucial role in defining human brain function and evolution.
A new study of chimpanzee brain scans reveals a unique human brain structure, with the left hemisphere longer than the right. This asymmetry may hold the key to understanding how humans developed language ability.
A study published in the Journal of Human Evolution found that humans do not have uniquely expensive brains, challenging a major dogma in human evolution studies. Researchers measured the cross-sectional area of cranial arteries and brain glucose uptake to compare brain costs across 22 species.
The NIH BRAIN Initiative is expanding its efforts to develop new tools and technologies to understand neural circuit function and capture a dynamic view of the brain in action. Researchers are making rapid progress in visualizing the brain in action, identifying thousands of brain cells at a time, and developing innovative brain scanners.
A new investigation reveals that human brains are less impaired than skeletal muscles when experiencing extreme physical and mental exertion. The 'selfish brain' hypothesis suggests that the brain prioritizes its own energy needs over peripheral organs, potentially contributing to human evolution's trade-offs.
Researchers from University of Leicester and KU Leuven found that information flow accounts for emergence of small-world networks in complex systems. These structures arise spontaneously in neuronal and social networks, and are characterized by short-cuts and hierarchical organization.
Researchers developed improved mini brain organoids from stem cells, closely mimicking human brain structure. They found critical similarities between the organoids and real brain tissue and identified effective drugs to block Zika's entry into the brain, offering new avenues for studying neurological disorders
Researchers at UC Berkeley are building a new MRI brain scanner with improved resolution, allowing them to image functional regions in the cortex and connect individual neurons. The new scanner will enable studies of human brain function and circuitry on a finer scale.
The CSAIL team developed a VR system that lets users teleoperate robots using an Oculus Rift headset. The system mimics the user's movements to complete various tasks, making it feel like they are inside the robot's head. This technology could enable blue-collar workers to telecommute and benefit from the IT revolution.
Researchers created photonic computer chips mimicking human brain's synapses, enabling speeds a thousand times faster than the human brain. The breakthrough paves the way for new age of computing where machines work and think like the human brain.
Lim's work impacts public through real-world applications, including neural fiber mapping and Human Connectome Project. He received multiple awards for his research on tensors, hypermatrices, and computational geometry/topology.
A new study published in Neuron confirms that lab-grown astrocytes mature at the same rate as human brains, providing a valuable technique to investigate their role in brain development and disease. The findings have significant implications for understanding the roots of neurological disorders such as schizophrenia and autism.
Researchers created high-fidelity maps of neural brain connections, revealing unique features of each individual's brain. These findings may help diagnose and treat neurological diseases such as migraines, Alzheimer's, and brain injuries.
Researchers created an artificial synapse that can simulate inhibitory and stimulatory signals, expanding the capabilities of artificial intelligence systems. The new device is flexible and versatile, enabling it to switch between excitatory and inhibitory signals based on voltages applied at the input terminal.
Researchers have demonstrated a causal connection between deep sleep and learning efficiency in the human brain. By manipulating deep sleep in targeted brain regions, they found that learning efficiency was blocked when synapses remained maximally excited without recovery.
Researchers have identified multipotent stem cells in the human brain following a stroke, which can differentiate into neurons and help repair damage. These cells, called iSCs, express multiple stem cell markers and demonstrate high proliferative potential.
Researchers developed organoids that resemble human brain structure, investigating rare congenital brain defect Miller-Dieker syndrome. The study reveals disrupted stem cell division leading to poor organization and early differentiation of nerve cells.
Researchers have characterized cerebral organoids, showing they recapitulate human brain developmental processes and involve forebrain organizing centers. These findings advance our understanding of normal organoid development and are essential for modeling human developmental diseases.
A new mathematical model predicts how human brains should grow based on ecological, social, and cultural factors. Early results counter prevailing thought that social influences are required for large brain sizes.
According to Professor Ole G. Mouritsen, seaweeds were a crucial source of essential nutrients for early Homo sapiens brain development. These nutrients include taurine, magnesium, zinc, vitamin B12, iodine, and poly-unsaturated fatty-acids (PUFAs), which are also healthy for modern humans.
Researchers analyzed prefrontal cortex lipids in humans and monkeys to identify key differences. They found that human brains had a greater range of lipid concentrations during the first year of life, with many changes occurring after childhood.
Researchers developed an artificial neural network using spintronic devices, demonstrating associative memory operation with learning ability, similar to human brain. The technology enables fast-processing capabilities and ultralow-power consumption, opening new horizons in AI technology.
Researchers traced neural activity patterns in mice, revealing synchronized and symmetric activity coursing around the brain. This discovery connects to enigmatic signals detected in 'resting-state' fMRI, offering new insights into brain-wide neural activity.
A novel analysis in mice reveals that dopamine neuron activity plays a key role in judgment of time, slowing down the internal clock. The study found that transient activation or inhibition of dopamine neurons was sufficient to slow down or speed up time estimation.
Researchers at UC Berkeley discovered that humans use visual cues to quickly determine if something is lifelike or not. In real life, this allows us to navigate social situations and avoid confusion, while in the lab, participants accurately rated groups of images as more or less lifelike even when shown for just 250 milliseconds.
A study found that a gene regulating bone growth is highly active in the brains of humans and nonhuman primates, but not in mice. The researchers believe this gene may play a role in brain maturation and cognitive function.
Research from Newcastle University found that aging brains lose their youthful folding pattern due to decreasing cortical tension. The study provides a new method for measuring brain folding and could help diagnose Alzheimer's disease.
Researchers are developing novel approaches to process and store data in energy-efficient ways, using nanoscale devices and innovative architectures. The goal is to create computers that can learn from data and operate like the human brain.
Columbia scientists have developed a mathematical model that explains how the human brain lays down new memories without wiping out old ones. The model, which describes synapses as systems with multiple dials, increases storage capacity by an enormous factor and provides a framework for future studies of memory.
The Baby Connectome Project will investigate how the human brain develops from birth to early childhood, using non-invasive MRI scans of 500 children. The study aims to uncover factors contributing to healthy brain development and provide a comprehensive picture of brain connectivity.
Researchers at IBS developed a two-terminal tunnelling random access memory (TRAM) with highly reliable performance, long retention time, and flexibility. The device stores data by keeping electrons on its graphene layer, enabling flexible and stretchable applications for wearable smartphones, eye cameras, and biomedical devices.