Articles tagged with Memory Processes
A Mass General Brigham study found that taxi and ambulance drivers had lower rates of death from Alzheimer's disease compared to other professions, possibly due to real-time spatial and navigational processing. The study analyzed data from nearly 9 million people across various occupations.
A new study sheds light on how age-related changes affect financial skills, finding that verbal representations and language processing play a crucial role. Individuals with better language skills and higher household income are more likely to excel in financial tasks.
Researchers Fernanda Morales-Calva and Stephanie Leal explored the three Ws of memory - what, where, and when - to understand why people remember certain things. They found that emotional content, personal significance, repetition, and attention can influence memory retention. The study highlights the importance of considering individu...
A new study reveals that concussions impact aperiodic brain activity in high school football players, leading to slowed cognitive function and worse post-concussion symptoms. The research highlights the importance of protective measures in contact sports and may lead to new treatments for concussion recovery.
Researchers discovered that NMDA receptors set the baseline level for neural network activity, helping maintain stable brain function. The study's findings suggest potential innovative treatments for diseases linked to disrupted neural stability.
Research finds that adults outperform children in learning new motor skills, with older individuals improving faster and retaining skills longer. Better sleep appears to benefit children's learning and memory more, but other factors like sleep deprivation may also play a role.
University of Delaware professor Benjamin Jungfleisch receives a five-year $798,000 grant to develop low-energy computing using magnetic nanostructures. The project aims to improve AI processing power and reduce energy consumption.
Researchers discovered brain cells that map an animal's position in behavioural coordinates, helping understand how the brain generates complex behaviors. The findings may be useful in understanding psychiatric conditions such as schizophrenia.
Researchers at Seoul National University have developed ultra-low power neuromorphic hardware capable of performing AI computations with significant accuracy and efficiency. The technology relies on hybrid organic-inorganic materials and enables uniform ion movement across the surface, leading to high-performance neuromorphic devices.
A new training algorithm called ternarized gradient BNN (TGBNN) enables learning capabilities for binarized neural networks (BNNs) on IoT edge devices. The proposed MRAM-based CiM architecture achieves faster convergence and matching accuracy with regular BNNs.
A new study from UT Arlington found that setting reminders can significantly reduce age-related declines in memory, particularly in prospective memory. The study suggests that reminders help counteract cognitive strain by making memory retrieval less reliant on internal processes.
Researchers developed a new memristive device capable of self-compliance, multilevel operation, and crossbar array formation for neural networks. The device demonstrated consistent switching characteristics and reliable multilevel operation with low power consumption, achieving high accuracy in image classification tasks.
Researchers from Pitt, UC Santa Barbara, University of Cagliari, and Institute of Science Tokyo have developed a new method for photonic in-memory computing that combines non-volatility, multibit storage, high switching speed, low switching energy, and high endurance in a single platform.
Virginia Tech researchers publish real-time data to better understand what happens when people lose their balance. The study uses wrist-worn voice recorders to capture immediate, self-reported data from participants, providing a more reliable understanding of the circumstances surrounding balance loss among older adults.
A landmark study found specific types of brain cells fired in a way that mirrored the order and structure of a person's experience. The brain retains these unique firing patterns after the experience is concluded and can rapidly replay them while at rest.
Aging brains struggle to clear out outdated information, leading to slower processing and more frequent forgetfulness. Beta-band neural oscillations play a crucial role in regulating working memory, with older adults showing a stronger link between these oscillations and their ability to delete irrelevant information.
Researchers at Indian Institute of Science develop a neuromorphic platform that stores and processes data in 16,500 conductance states, cutting energy consumption by a huge margin. This breakthrough could enable complex AI tasks on personal devices, transforming the development of AI tools.
Research from Texas A&M University School of Public Health suggests that older adults with mild cognitive impairment who engage in high levels of activities such as word games and hobbies have better memory, working memory, attention and processing speed than those who do not. The study found that six million people in the US have deme...
A new study from Aarhus University reveals that older individuals' brains work harder to compensate for age-related changes in memory function when listening to familiar music. The study uses classical music by Johann Sebastian Bach to map brain activity and identify potential biomarkers for dementia.
Researchers at ETH Zurich have developed ultra-flexible tentacle electrodes that can precisely record brain activity over extended periods, enabling detailed analysis of neural activity. The technology has the potential to diagnose and treat neurological disorders such as epilepsy, depression, and schizophrenia.
Researchers Dr. Marx and Prof. Gilon propose a novel tripartite mechanism of neural memory based on metal-centered complexes within the nECM/PNN, enabling the encoding of emotive states through biochemical interactions. This new understanding underscores the need for a more holistic approach to grasp brain function and mental processes.
Researchers created a virtual game environment and connected it to hydrogels, which improved their accuracy over time. The hydrogels used 'memory' to learn from previous patterns and improve their gameplay, with an improvement rate of up to 10%.
Researchers developed a new two-photon fluorescence microscope that captures high-speed images of neural activity at cellular resolution, providing insights into brain function and neurological diseases. The microscope uses an adaptive sampling scheme to image neurons in real time, reducing damage to brain tissue.
A team of researchers has demonstrated a novel way of storing and releasing X-ray pulses at the single photon level, enabling future X-ray quantum technologies. This breakthrough uses nuclear ensembles to create long-lived quantum memories with improved coherence times.
Researchers at Pohang University of Science & Technology have developed a novel analog hardware using ECRAM devices that maximizes AI computational performance. Their technique, which uses a three-terminal structure with separate paths for reading and writing data, demonstrates excellent electrical and switching characteristics.
A novel study finds that monitoring cortical microstructural change in the brain using diffusion weighted MRI scans may help identify individuals at risk for cognitive decline and Alzheimer's disease. Tracking these changes over time could provide precious time for disease-modifying treatments.
Viji Santhakumar, a UCR professor, has been awarded a $3.5 million NIH grant to study brain circuit function and its impact on memory formation and cognitive deficits in diseases like epilepsy and Alzheimer's disease.
Researchers have discovered aluminum scandium nitride (AlScN) films that remain stable and maintain their ferroelectric properties at temperatures up to 600°C, making them promising candidates for next-generation ferroelectric memory devices. The films exhibit a high remnant polarization value and only a slight increase in coercive fie...
Wanja Wiese's research focuses on ruling out deception by conscious AI systems and understanding the prerequisites for consciousness in artificial systems. He draws on Karl Friston's free energy principle, suggesting that computers can simulate consciousness but may require additional conditions to replicate conscious experience.
Researchers have identified a cellular mechanism that detects when the brain needs an extra energy boost to support its activity. This discovery could lead to new therapies for maintaining brain health and longevity by targeting impaired brain energy metabolism, a process accelerated in ageing and neurodegenerative diseases.
Research reveals that pregnancy-related brain impairment affects live-bearing fish, particularly in decision-making and sensory reception. Unlike mammals, pregnant fish show decreased cell proliferation in olfactory regions, compromising scent interpretation.
Researchers discovered that young adults with higher levels of inflammation were more likely to experience reduced cognitive function in midlife. Higher inflammation was associated with lower performance on skills testing and differences in executive functioning.
A study from Aarhus University and the University of Oxford reveals that listening to music sets off a complex chain reaction in the brain, involving areas for sound, emotions, and memory. This understanding could lead to new interventions for improving cognitive function in individuals with neurological conditions.
A new study uses a closed-loop auditory stimulation approach to selectively modulate brain alpha oscillations in humans. The technique has been shown to interfere with sleep onset dynamics, highlighting its potential as a tool for neuroscientific research.
A new artificial intelligence chip has been developed to improve energy efficiency, with the potential to reduce global energy consumption by half a percent by 2027. The chip uses a novel material platform that mimics biological neural networks, allowing for efficient data processing and storage.
Two studies from University of Michigan reveal that sleep helps form and update memories, including spatial awareness. Sleep deprivation impairs memory by reducing neuron reactivation and replay, leading to long-term detrimental effects on memory consolidation.
A new study published in JAMA Network Open found that depressive symptoms are linked to subsequent memory decline in older people, and conversely, poorer memory is associated with an increase in depressive symptoms. The researchers suggest that addressing depressive symptoms may help slow down memory decline.
Researchers found that exercise increased neuron growth in the hippocampus, rewiring neural circuits to help mice forget strong, traumatic memories. This approach may offer new treatments for PTSD and drug addiction.
New research reveals exercise reverts aged microglia gene expression patterns to those of young microglia, supporting the formation of new neurons in the hippocampus. Exercise also reduces T cell accumulation in the brain, a common feature of aging.
Salk scientists develop new method to quantify synaptic features, revealing high precision of plasticity and up to 10 times more storage capacity. The technique uses information theory to analyze synapse pairs from a rat hippocampus, offering a scalable approach for studying brain function.
Researchers developed a device controlling tiny magnetic states in ultrathin magnets using tunneling currents, enabling probabilistic computing. This breakthrough could lead to advanced memory devices and entirely new types of computers solving complex problems efficiently.
Researchers developed nanodots with single ferroelectric and ferromagnetic domains using multiferroic material BFCO, enabling energy-efficient writing and reading operations. The smaller nanodot showed a single-domain structure, while the larger one exhibited multi-domain vortex structures, demonstrating strong magnetoelectric coupling.
A new study found that better heart health in middle-aged Black women is linked to reduced cognitive decline and preserved brain function. However, this benefit was not observed among white women. The study suggests that taking care of one's heart may have a positive impact on brain function and overall well-being.
Beta bursts regulate neuron activity to implement cognitive control, enabling flexible but controlled patterns of neural activity for intentional thought. Studying these bursts could aid in diagnosing and treating cognitive disorders, including ADHD, schizophrenia, and Alzheimer's disease.
A study published in Cell Reports found that environmental factors play a significant role in shaping metacognitive abilities, including mentalizing. The researchers used twin studies to investigate the interplay between genetics and environment on cognitive processing.
Researchers at RIKEN Center for Brain Science discovered neural circuitry in the spinal cord that enables brain-independent motor learning and recall. The study found two critical groups of neurons: one necessary for new adaptive learning and another for recalling adaptations once learned.
Researchers argue that middle age marks a shift in brain aging and should be a focus for more research. The study identified changes in the brain's structure, function, and gene expression during this period.
Researchers at Ohio State University found that eating fatty food before surgery triggers an inflammatory response in the brain, leading to impaired memory function. The study also showed that taking a DHA omega-3 fatty acid supplement can prevent these effects.
Researchers from Tokyo University of Science developed a flexible paper-based sensor that operates like the human brain, enabling low-power and efficient health monitoring. The device can distinguish 4-bit input optical pulses and generate currents in response to time-series optical input, with rapid response times.
Research suggests that magnetite particles, found in air pollution, can induce signs and symptoms of Alzheimer's disease. The study exposed mice to fine particles of iron, magnetite, and diesel hydrocarbons, finding that magnetite induced Alzheimer's disease pathologies, including neuronal cell loss and amyloid plaque formation.
Researchers found that individuals with mild cognitive impairment (aMCI) struggle with ambiguous sentences, indicating a key deficit in processing complex language. This deficit is independent of memory loss and may serve as an additional 'cognitive biomarker' for early detection.
A study found that exposure to emotion category words affects how brains process others' facial expressions, with culturally diverse groups showing different neural responses. The findings suggest that AI tools designed to read emotions from faces must account for cultural variation to avoid misinterpretation.
Research reveals oxytocin neurons in mouse brain modulate object recognition memory, with activation boosting long-term memory and implicating Alzheimer's disease. Oxytocin's role in social memory also highlighted, suggesting a potential link to loneliness or limited social engagement.
Researchers have developed a novel optical neural network architecture that achieves nonlinear optical computation by precisely controlling ultrashort pulse propagation in multimode fibers. This approach streamlines the need for energy-intensive digital processes, achieving comparable accuracy with significantly reduced parameters.
Researchers have discovered a blood test that diagnoses Alzheimer's disease with an accuracy of over 90%, comparable to traditional cerebrospinal fluid biomarkers. The test uses a phosphorylated TAU 217 protein biomarker, which offers precision in detecting longitudinal changes and reducing the need for additional confirmations.
A KAIST research team has developed a technique called SynapShot, which allows for the real-time observation of synapse formation, extinction, and alterations. This breakthrough technique uses fluorescent proteins to track changes in synapses, offering new insights into brain function and potentially revolutionizing neurological research.
Researchers at Tokyo University of Science develop an edge computing device that processes signals in real time using physical reservoir technology, achieving faster data processing and lower computation costs. The device demonstrates enhanced learning capabilities, making it promising for applications in edge computing.
Researchers investigated the neural mechanisms of verbal working memory processing in healthy aging adults using magnetoencephalography. Age-related increases in theta activity were detected during encoding, and alpha and beta oscillations were stronger in older participants during maintenance and retrieval phases.
Researchers investigated cognitive fatigue across multiple sclerosis, traumatic brain injury, and controls using two tasks, finding that fatigue was consistent across participants regardless of task. Cognitive fatigue correlated with longer response times and activation in the caudate nucleus and thalamus.
Researchers developed a synaptic transistor capable of higher-level thinking and performing associative learning, categorizing data, and retaining information at room temperature. The device operates fast, consumes low energy, and is ideal for real-world applications.