Articles tagged with Neural Adaptation
Researchers developed a hybrid technology combining human learning and machine learning in noninvasive BCIs, producing rapid and sustained gains in motor imagery control. The study demonstrates significant scientific and technological advancement in BCIs, establishing a scalable pathway toward robust neural interfaces.
A new machine-learning method detects sudden changes in fluid behavior, improving simulation capabilities for everyday applications like weather prediction and nuclear reactor safety. This enables faster design testing, real-time adjustments, and reduced computational burden.
New research suggests that ocean turbulence and horizontal stirring will dramatically increase in the Arctic and Southern Oceans due to human-induced Global Warming. The study uses ultra-high-resolution simulations to investigate how mesoscale horizontal stirring (MHS) responds to warming, revealing a pronounced future intensification ...
The Kavli Foundation and NSF have announced new grants to explore how nervous systems respond, resist, or recover from the challenges of a changing world. This research aims to uncover fundamental principles of neurobiology and reveal how animals adapt cognitively and behaviorally to a changing world.
Researchers at UT Health San Antonio are among the first to use adaptive deep brain stimulation technology that adjusts treatment based on a patient's symptoms. This innovative approach offers improved therapy and symptom optimization for patients with Parkinson's disease, dystonia, epilepsy, and essential tremor conditions.
The FDA has approved a new treatment for Parkinson's disease that can adjust to the individual's brain activity, providing precise stimulation. This technology, known as adaptive deep brain stimulation (aDBS), detects patterns of brain activity and delivers tailored electric pulses to reduce symptoms.
A new study from Oregon Health & Science University found that people who receive physical therapy earlier after a concussion tend to have better balance control and reduced reaction times. This can lead to improved outcomes and reduced risk of re-injury. Early intervention may enable the brain to return to a more normal state, compens...
Researchers at Cold Spring Harbor Laboratory have devised a potential solution to the paradox of animal innate abilities using artificial intelligence. The genomic bottleneck algorithm allows for compression levels unseen in AI, enabling faster runtimes and potentially leading to more evolved AI systems.
A new review highlights the differences in brain aging and Alzheimer's disease between humans and non-human primates, revealing that primate brains are more resistant to aging-related damage. The study suggests that tau tangles play a critical role in Alzheimer's progression, challenging the amyloid cascade hypothesis.
Researchers investigate how pollutants affect pollinators' ability to recognize flower scents and how neural circuits adapt to temperature fluctuations in organisms like the roundworm. The study focuses on understanding resilience mechanisms that enable animals to cope with environmental changes.
A University of Maryland study reveals how the brain adapts to different listening situations, with the orbitofrontal cortex playing a central role. The findings may have implications for human health and well-being, particularly in conditions such as autism, dyslexia, or schizophrenia.
A new paper explores the impact of habituation and neural adaptation on male mate choice signals, suggesting that these mechanisms may favor rapid divergence and diversity. The study proposes a more nuanced understanding of female responses to male signals, including the role of sensory adaptation in shaping mate choice.
A new brain stimulation technique called Patterned Low-Intensity Low-Frequency Ultrasound (LILFUS) has been developed by researchers at the Institute for Basic Science. This non-invasive method uses ultrasound to induce long-lasting changes in brain function and has shown promise in treating various neurological disorders.
The UTSA MATRIX AI Consortium has received a $2 million grant to create new AI models that rapidly learn, adapt, and operate in uncertain conditions. The team aims to bridge the gap between human brain processing efficiency and current AI limitations, enabling more efficient and adaptive AI systems.
Developing a technique to create conductive polymer wire connections between electrodes enables artificial neural networks that overcome the limits of traditional computer hardware. The approach allows researchers to control and train the network using small voltage pulses.
Researchers found that temporary blindness caused by occluding one eye for two hours led to increased sensitivity to auditory input when the other eye was monitored. The brain's neural response to sound was selectively enhanced, indicating a high degree of plasticity and interdependence between senses.
A recent study published in NeuroImage found that older adults with improved cognitive performance during dual-task walking had flexible neural resource allocation. This discovery suggests a potential method for tracking brain health and identifying individuals at risk of aging-related cognitive decline.
Researchers studied functional brain connectivity in fighter pilots to understand its relevance to astronauts. They found specific brain connectivity patterns that may aid in training programs for pilots and astronauts.
Researchers studying fruit flies found that brain neurons adapt to help the flies stay awake despite tiredness in dangerous situations, and fall asleep after an intense day. Time-restricted feeding also improved sleep quality in the flies, suggesting a potential therapeutic approach for humans.
Researchers successfully taught human and mouse neurons to play the video game Pong in real-time, showcasing their ability to exhibit sentience and adapt to a changing environment. The study's findings have potential applications in disease modeling, drug discoveries, and expanding our understanding of brain function.
Researchers used AI to analyze seismic signals and predict future fault friction and next failure time with high resolution in laboratory earthquakes. The technique goes beyond previous work by predicting the future state of the fault's physical system.
A study found that increased prism adaptation treatment sessions improve spatial neglect symptoms, while more frequent sessions lead to greater rehabilitation gains. The authors recommend starting PAT early for optimal dosing.
A team of experts encourages further investigation into the benefits of exercise training for managing multiple sclerosis. They argue that available studies are poorly designed and lack measurable neurological damage, suggesting that rigorous trials could provide evidence for neuroprotection.
Researchers developed a low-cost 3D model of the brain to study SARS-CoV-2's neurological effects. The adapted virus replicates 30 times more efficiently in astrocytes than neurons, highlighting the importance of these cells in central nervous system infection.
Researchers discovered a group of neurons in the striatum that encodes information about potential decision-making outcomes, including rewards and penalties. These 'error signals' help the brain adapt to changing circumstances and make impulsive decisions or become paralyzed with indecision.
A team of scientists developed a soft haptic sensor that can accurately estimate contact points and forces using computer vision and deep neural networks. The sensor is sensitive enough to detect even tiny forces and detailed object shapes.
A Tel Aviv University study found a significant link between changes in G-protein-coupled receptors and brain adaptability. Disabling the voltage sensor of these proteins caused uncontrolled brain flexibility, leading to excessive habituation to odors.
Researchers at the University of Göttingen studied how blocking certain enzymes affects brain adaptability in healthy and diseased mice. In healthy mice, inhibiting these enzymes blocked neuronal plasticity, while in stroke-affected mice, it restored lost plasticity.
Researchers at McGill University found that brain signals constantly adapt to synchronize visual and auditory inputs, using temporal recalibration to adjust our sense of time. This dynamic process enables us to perceive sounds and images as simultaneous, despite the different physical velocities and neural processing speeds.
Researchers found that shrews' brains reduce metabolic demands in winter by adapting neural structure and activity, including thinner layer 4 neurons and fewer parvalbumin-positive interneurons. These adaptations may help shrews conserve energy during winter.
The study found that people's brains adapt to align with the rhythm of voices they hear, leading to differences in functional and structural aspects of the speech network. Good synchronizers showed more white matter in pathways connecting speech-perception areas and performed better in learning new words compared to bad synchronizers.
Research at the University of Göttingen found that mice growing up in stimulating environments transmit increased brain plasticity to their offspring, even if the young mice were raised in less enriching conditions. This transgenerational transmission affects primary sensory areas of the cerebral cortex.
A new, fully implanted deep brain stimulation device uses real-time brain signals to fine-tune its signaling, reducing side effects and improving symptom control in Parkinson's patients. The adaptive system was shown to be equally effective as traditional stimulation methods in initial short-term studies.
New techniques harness neural circuitry to control prosthetic limbs and eyes, restoring function and improving motor skills. Brain-machine interfaces enable individuals to adapt and learn from technical challenges.
Researchers at Lobachevsky University are developing a neural network prototype based on memristors that can analyze and classify living cell culture dynamics. The project aims to create compact electronic devices that function as part of bio-like neural networks in conjunction with living biological cultures.
A new study suggests that reduced neural adaptation in people with dyslexia may underlie their difficulty learning to read. This reduced plasticity affects not only reading but also other perceptual tasks, indicating a broader impact on the brain.
Research reveals that individuals with dyslexia have a fundamental brain difference in sensory perception, leading to difficulties in processing speech and written words. Brain activity remains high in both cases, suggesting that they do not adapt as much, while those with better reading skills show greater adaptation levels.
A recent UCI study found the brain adapts quickly to vision loss in low-light conditions, contradicting earlier research. This discovery opens the door to novel treatments and rehabilitation techniques that could help restore vision.
Researchers found that brain pathways adaptively change between detecting and discriminating sensory inputs, such as headlights in the distance. The study used animal models and optical imaging to directly assess how acuity is controlled in the brain.
Researchers at Caltech explored the brains of insects to understand how sensory connections form new and specific memories. They identified a mechanism involving transient synchronization between pairs of connected neurons, known as spike-timing dependent plasticity, which makes connections sensitive to internal rewards.
A new study published in Science has found that a specific gene associated with schizophrenia plays a critical role in adaptive plasticity, the brain's ability to compensate for disruptions. The discovery suggests that impaired adaptive plasticity may contribute to the development or progression of schizophrenia.
The Biophysical Society has awarded eight individuals in recognition of their groundbreaking work in biophysics. Robert Stroud and Stephen H. White were recognized for their pioneering research in transmembrane biology and lipid structure, respectively.
Researchers discovered that monkeys can control a robot arm using only their brain signals, adapting neural structures and expanding capability. The study reveals the remarkable flexibility of the primate brain in incorporating artificial tools into its function.
Adverse experiences in early childhood can lead to changes in brain structure, gene expression, and neurotransmitter function, increasing sensitivity to stress. This increased stress sensitivity is a significant risk factor for mood disorders and medical diseases.
Research suggests that neural connections in the brain can be changed in response to environmental cues, supporting the idea that intelligence is not fixed. This model provides a new understanding of human intelligence and has implications for education and learning outcomes.