Articles tagged with Neural Networks
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Researchers at Max Planck Florida Institute for Neuroscience used electrophysiological and optical approaches to visualize and manipulate neuronal activity in individual neurons of the somatosensory cortex. They found that the formation of functional microcircuits was determined by specific settings and the number of neurons stimulated...
A new study suggests that specific brain network alignment influences whether altruism stems from empathy or reciprocity. Researchers found distinct patterns in brain connectivity between individuals exhibiting different levels of altruism.
A UCLA-led collaboration has identified a specific gene network and pattern of expression that promotes repair in the peripheral nervous system. This network does not exist in the central nervous system, but researchers have found a drug that can enhance nerve regeneration there.
Researchers at Virginia Tech Carilion Research Institute found that brain cells change through experiences like learning and emotions, forming functional networks.
Researchers at MIT have developed a new chip called Eyeriss that can enable mobile devices to run powerful artificial-intelligence algorithms locally. This could improve performance, reduce latency and allow for more efficient processing of data without relying on Wi-Fi connections.
Fruit flies develop complex nervous systems through a set of genetic control switches that interact early in development to generate dozens of types of olfactory neurons. The same gene network also plays a role in programming taste neurons, suggesting the same basic mechanism could be at work in other animals.
Researchers found that early nerve cell development creates brain circuit templates, which are then disrupted by trauma, leading to delayed effects on thoughts and memories.
Researchers found that HIV protein Tat alters networked neuron activity and leads to adaptations that improve survival but impair function. The study suggests that targeting these adaptations could facilitate therapeutic intervention for seizure disorders and other neurological symptoms in HIV-infected patients.
Researchers from Russia and Italy develop neural network based on polymeric memristors, enabling machine vision and intelligent control systems. The networks can learn and perform logical operations, offering a promising alternative to traditional computing methods.
Lab-grown neural networks can replace damaged axon tracks in patients with severe head injuries, strokes, or neurodegenerative diseases. The micro-TENNS, made of mature cerebral cortical neurons and long axonal projections, integrate into existing brain structures and reconstitute missing pathways.
Researchers discovered that 70% of brain information passes through only 20% of neurons in cortical regions, suggesting a vital role in communication and learning. This high-traffic network is also more vulnerable to disruption, which could impact brain health.
Researchers have developed a human in vitro cellular model of Cockayne syndrome, a devastating neurodegenerative condition. The model reveals key aspects of the disease, including altered electrophysiological activity and impaired neuronal function.
Researchers at Case Western Reserve University created a complete model to describe serotonin's role in brain development and structure. The study supports the importance of serotonin for normal functioning of neurons, synapses, and networks in the cortex.
Darwin is a neuromorphic hardware co-processor developed by Chinese researchers that enables efficient execution of Spiking Neural Networks in resource-constrained embedded systems. It supports flexible configuration and has potential applications in intelligent hardware systems, robotics, brain-computer interfaces, and more.
Researchers found that humans can recognize objects even when only a small portion is visible, and validated an algorithm to explain human learning. The algorithm can be used for machine learning, data analysis, and computer vision to improve performance.
Research reveals LSD reduces connectivity within brain networks, disrupting synchronization of neural firing patterns. This change affects the underlying thought and behavior processes in humans.
Researchers found joiner neurons that can be pre-positioned for rapid recruitment into memories, changing how brain networks adjust to build memories. This discovery has implications for understanding memory formation and developing new strategies for brain injury recovery.
A national network of neurotechnology centers is proposed to accelerate the BRAIN Initiative, a decade-long scientific project with over $300 Million budget. The centers would tackle critical areas like Connectomics, Nanotechnology, and Optical Imaging, providing an alternative STEM career path for postdocs and graduate students.
Leading US neuroscientists advocate for a coordinated national network of neurotechnology centers to accelerate the BRAIN Initiative. The proposed brain observatories would unite and synergize hundreds of individual laboratories, enabling rapid progress in key areas like connectomics and neural nanoprobe systems.
Researchers discovered two major types of cortical neurons providing separate mechanisms for stimulus-specific adaptation in the brain. This phenomenon helps the brain distinguish between expected and unexpected sounds, enhancing sensitivity to rare sounds. The findings provide new insights into the neural basis of key hearing phenomena.
Rice University researchers are combining experiments and computational analysis to learn how the brain organizes itself after injury. They aim to direct the growth of new neurons to treat stroke and neurodegenerative diseases.
Researchers have identified kisspeptin neurons as the key players in generating episodic hormone pulses crucial to normal reproductive functioning. These findings hold promise for developing new fertility treatments targeting brain circuitry disorders, which contribute to up to one-third of all infertility cases.
University of Oregon scientists have identified a crucial network of neurons in fruit fly larvae that mirrors the human nervous system. This discovery may lead to innovative treatments for motor disorders and more efficient robotic systems.
The study found that neurons in the ventral premotor cortex retain information about objects and generate unique grip patterns. This advances brain-computer interfaces, enabling people with severe paralysis to control robotic arms and hands using their thoughts.
Researchers developed an algorithm inspired by brain pruning, which eliminates unneeded connections in early childhood. The neuroscience-based approach created more efficient and robust networks than traditional engineering methods.
Researchers at Johns Hopkins Medicine discovered that the mammalian brain likely reconstructs memories in a way more like jumping across stepping stones than walking across a bridge. The study used electrode implants to track nerve cells firing in rats' brains as they planned their next move, revealing gaps between discrete memories.
Researchers developed a computer model to simulate the biological processes of neural network development in the visual cortex. The results show that newborns possess specialized nerve cells but lack systematic connections, which are refined through experience, leading to improved perception.
Scientists have isolated the smallest unit of sleep, discovering that it originates from small neural networks. The research, published in European Journal of Neuroscience, allows for the independent isolation of sleep for research without physiological factors.
Researchers have developed mini cultured 3-D structures that grow and function like the outer mantle of the brain, allowing for modeling and understanding of mental illnesses. The new 'human cortical spheroids' buzz with neuronal network activity, providing a potential breakthrough in personalized medicine.
Scientists developed a novel adaptive-control approach to mimic synapses in the human brain. This method uses memristors, which display resistance dependent on past states, enabling anti-synchronisation phenomena and improving system stability.
Researchers at MIT have created a system that can label visual scenes according to type and also detect particular objects. The system uses deep learning and achieved an accuracy of 50% in labeling scenes, outperforming human performance in some cases.
Researchers created detailed 3D models of rodent brain's sensory cortex, showing interconnected networks across cortical columns. The study found that neurons in different cell types project to multiple columns, with non-uniform axon projection patterns, and these pathways can encode complex sensory information.
A massive data compilation of 40 years' worth of research on rat brains reveals local networks of neurons, similar to the Internet, governing various functions such as vision, learning, and bodily concerns. This discovery opens a new avenue for connecting human brain studies with animal models, potentially leading to breakthroughs in n...
Researchers created the first 3D neuronal culture with functioning neurons and astrocytes, using a sponge-like elastomeric scaffold. The technique allowed for direct comparison between 2D and 3D cultures, showing that 3D cultures have improved functional complexity and organization.
Researchers mapped how neurons fired in the brain of a sea slug while it moved, revealing large groups of co-active neurons that can be dramatically simplified and interpreted. This approach may help understand how brain networks change in disease states and how drugs act to restore normal brain function.
The new self-learning welding system is controlled by a neural network program that tracks multiple variables, such as bevel angle, thermal profile, and weld form to detect and correct errors in real-time. This technology has the potential to bring significant savings to the welding industry by eliminating post-welding checks and repairs.
Researchers at the Max Planck Florida Institute for Neuroscience will investigate a newly discovered circuit in the visual cortex using novel imaging technologies. The project aims to understand how this circuit processes visual information and interacts with other neural circuits.
Researchers studied a simple three-cell network within the roundworm brain and found that the collective state of the neurons determines the likelihood of movement towards an odor. The study suggests that nervous systems have internal patterns of activity that are as important as external signals in generating behaviors.
Researchers have discovered how light disrupts biological clocks and propose a two-day recovery time for jet lag. They found that weakening synchronization among neurons governed by circadian patterns enables rapid adaptation to new time zones.
Researchers at NYU have developed a method to identify functional groupings of neurons based on co-fluctuation of their responses, revealing that prefrontal cortex neurons are organized into spatially contiguous maps.
Neurons in the brain form a complex network of connections, with most links being weak. However, those that connect similar cells are strongly coupled, influencing activity and potentially aiding learning and adaptation.
A research team at McGill University has identified a complex of neurons in the lateral prefrontal cortex that interact to filter visual information while ignoring distractions. The discovery has far-reaching implications for understanding diseases such as autism, ADHD, and schizophrenia.
Researchers found that newer generation of deep neural networks can identify visual objects as accurately as the primate brain. The success suggests neuroscientists have a fairly accurate grasp of how object recognition works, which could lead to better artificial intelligence and new ways to repair visual dysfunction.
Researchers found glial cells transmit information to neurons through a specific protein fragment, influencing neural cross-talk. Disruption of this flow affects learning and sensory input processing, leading to behavioral changes.
A team of scientists at Johannes Gutenberg University Mainz uncovered a new signal pathway in the brain that plays a crucial role in learning and sensory input processing. Glial cells release a specific protein fragment that influences neuronal cross-talk, leading to changes in neural networks.
Researchers aimed to control harmful signals in strokes by understanding neural excitation pulses. The study found that non-local couplings can produce various spatio-temporal patterns, including acceleration, deceleration, and suppression of pulses.
Researchers at Imperial College London have discovered the mechanisms behind 'Mexican waves' in the brain, which play a key role in cognitive function. The study sheds light on how inhibitory neurons use different communication processes to excitatory neurons.
Researchers created a three-dimensional model of a single neuron to study its electrical properties. The study found that changes in cell morphology affect hyper-excitability, highlighting a new relationship between cellular dysfunction and structural integrity.
Researchers created a microtube platform to study neuron growth and repair, providing insights into treatments for degenerative neurological conditions. The microtubes accelerate nerve cell growth up to 20 times faster than across gaps.
A UMD-led research team will investigate how large networks of neurons process sensory information, focusing on the auditory cortex. The goal is to identify key groups of neurons that change over time and develop new imaging technologies and data analysis techniques.
New Tel Aviv University research reveals a single-neuron 'hub' orchestrates the activity of an entire brain circuit. The study finds that timely activation of cells is fundamental for proper operation of hub neurons, which orchestrate entire network dynamics.
A researcher will investigate multifunctional and specialized spinal cord nerve cells that control leg movements. The goal is to understand the organization of normal spinal cord circuits for different types of limb movements.
Virtual reality interface devices reorganize brain neural networks in patients with chronic stroke and cerebral palsy, improving hand function and balance. This application enhances the quality of life for individuals with neurological diseases.
Researchers develop a protein that facilitates control of nerve cells by light, increasing sensitivity and enabling precise activation of selected cells. This technology, called optogenetics, holds promise for studying diseases like epilepsy and Parkinson's.
Researchers found that the circadian clock network in fruit flies consists of many independent clocks, each driving activity rhythms. This organization may also apply to mammals, with implications for alleviating adverse effects associated with circadian disorders.
Researchers developed a new technique using spatial light interference microscopy (SLIM) to measure human neural networks, showing how neurons grow, organize, and transport materials. The study provides insights into the formation of neural networks and could lead to advancements in understanding diseases like Alzheimer's.
Researchers developed a mouse whole-brain atlas that maps hundreds of neuronal pathways in the cerebral cortex, revealing a highly organized network consisting of eight subnetworks. This study provides an invaluable resource for researchers studying cortical networks and their role in regulating thoughts, emotions, and behaviors.
A study published in Neuron reveals a connection between genes controlling neuronal excitability and working memory, psychiatric disease, and brain activity. The researchers identified a network of genes that plays a crucial role in human brain function, highlighting the importance of understanding its dysfunction in schizophrenia.
A study published in the Journal of Neuroscience found that monkeys fed a diet high in omega-3 fatty acids had brains with highly connected and well-organized neural networks. This similarity is remarkable, especially when compared to human brains using the same imaging techniques.
A new study published in PNAS found that recording the activity of just 50 neurons can accurately capture the behavior of larger neural networks. This challenges decades-long research on response time and accumulator models in psychology and neuroscience.