Articles tagged with Learning Processes
Researchers found that local release of dopamine triggers plasticity mechanisms, enabling motor learning by storing new skills for future use. Blocking dopamine results in complete learning cessation.
Three UVA Engineering faculty members, Scott T. Acton, Gustavo Kunde Rohde and Shannon Barker, have been named to the 2025 class of the American Institute for Medical and Biological Engineering (AIMBE) College of Fellows. They are recognized for their contributions to biomedical engineering research, innovation, teaching and leadership.
Researchers have developed a new way to map how individual connections between neurons change across the entire brain during learning. The method, DELTA, provides a brain-wide map of how individual synaptic proteins change over time, allowing scientists to understand how synaptic connections change and pinpoint areas of the brain impor...
A research team has uncovered a fundamental brain circuit that distinguishes between direct and vicarious fear, with the locus coeruleus playing a crucial role in processing fear. The study reveals a lateralized LC-NAergic system that separates personal from socially learned fear, shedding light on empathy and social learning.
Göttingen research team develops infomorphic neurons that learn independently and self-organize among neighboring neurons. This allows the smallest unit in the network to control its own learning, enabling novel machine learning approaches and a deeper understanding of brain function.
A new study from Duke University reveals that dopamine levels in the brains of baby birds increase with every effort they make while practicing their songs, regardless of success. This discovery has implications for understanding human learning and neurological disorders.
The grant aims to develop an electrochemical system capable of recovering uranium from wastewater, improving ecosystem health and addressing uranium security. The project will focus on designing electrode materials for efficient uranium extraction and minimizing toxic waste.
Researchers at ISTA discovered that neural activity patterns during sleep reflect recently learned spatial memories and transform into those seen later upon awakening. This 'representational drift' phenomenon optimizes memory representations for long-term storage, allowing the brain to free up resources for new memories.
Researchers found that male worms fail to learn from experience and prioritize risk-taking over survival. In contrast, female worms quickly learned to avoid a disease-causing bacterium. The study discovered a neural receptor responsible for this difference, also present in humans.
Full Waveform Inversion (FWI) technology provides unprecedented precision in seismic imaging, breaking resolution limitations of traditional methods. It characterizes complex structures within the Earth's interior and offers higher-resolution subsurface models.
Despite severe sleep deficits, insomniac fruit fly mutants exhibit enhanced memory performance through altered PKA signaling in the mushroom body. This finding suggests a complex relationship between sleep and memory functions.
A new study from the University of Chicago suggests that patterns of activity in the brain continually reshape memories, even after learning has occurred. Researchers found that behavioral timescale synaptic plasticity (BTSP) is a key driver of this process, explaining the dynamic shifting of place cells in the hippocampus.
Researchers used brain imaging to study mouse learning, finding that mice can learn quickly but also experiment with new knowledge. The study's findings suggest a distinct neural basis for learning and performance, and have implications for understanding human learning mechanisms.
A new study found that parakeet brains generate patterns seen in humans as they speak, suggesting a similar connection between higher brain activity and sound production. This discovery may help develop new treatments for speech disorders affecting millions of Americans.
Distributed acoustic sensing systems face data processing speed limitations; researchers leverage photonic neural networks to overcome these challenges. The TWM-PNNA system achieves high recognition accuracy above 90% with low power consumption, outperforming electrical GPUs by orders of magnitude.
Researchers from Virginia Tech have published a visionary paper on fusing wireless technologies and AI to create human-like common sense. The team aims to develop a network that can think, plan, and imagine like humans, enabling seamless merging of physical, virtual, and digital dimensions.
Researchers have identified distinct protein degradation patterns in key brain regions for individuals who witnessed trauma, differing from those who experienced it firsthand. Sex-specific differences also emerge, with implications for targeted treatments and a better understanding of PTSD development.
Researchers from Osaka Metropolitan University used a deep learning model to discover new bubble-like structures in the Milky Way galaxy, providing insights into star formation and galaxy evolution. The study also revealed shell-like structures formed by supernova explosions.
Research from the University of Florida found that mutations in the Syngap1 gene can lead to disrupted perceptual learning in mice, affecting their ability to interpret touch-based information. This study provides possible answers for understanding autism, intellectual disability, and other conditions with sensory processing issues.
A recent study on the governance of public policy in the Brazilian state of Amazonas recommends an experimentalist governance system that integrates local efforts and values traditional knowledge. The approach prioritizes the conservation of ecosystems while promoting socio-economic development and attracting investment to the region.
A recent study published in the Journal of Pediatrics found that good parenting can improve cognitive and language skills in children, but only up to a point. Prenatal social disadvantage is associated with lower scores, and supportive parenting behaviors may not be enough to overcome its effects.
A new framework allows users to correct a robot's actions in real-time using intuitive interactions, such as pointing or nudging the arm. The method achieves a success rate of 21% higher than an alternative approach, enabling more efficient and accurate task completion.
Researchers have developed a novel technique to overcome the spurious correlations problem in AI by eliminating a small portion of the training data that contains hard-to-understand features. This approach improves performance even when conventional techniques are ineffective.
A new study suggests that artificial intelligence can effectively detect wildfires in the Amazon rainforest, using satellite imaging and deep learning. The technology achieved a 93% success rate in training models via datasets of images with and without wildfires.
This theme issue explores digital health solutions to address social isolation, health literacy, and cultural influences on aging health. Contributors are encouraged to submit their work by September 30, 2025.
The new AI model leverages hypergraphs to quickly and accurately identify therapeutic gene targets for diseases. HIT outperformed existing models in all tested metrics, demonstrating its accuracy in classifying therapeutic gene targets with great precision.
A nursing study pairs teens and older adults with smartwatches to test monitoring health in under-resourced communities. The results show that 91% of older adults engaged with the smartwatch prompts, highlighting the importance of social engagement for brain health.
Researchers at the University of Kansas are partnering with regional high schools to train about 500 students in AI coding and microelectronics. The program aims to develop a workforce that can specialize in AI and microelectronics, with a focus on community-centered projects and altruistic goals.
Researchers found that GenAI feedback offers timely and personalized feedback, educational benefits as an essay editor and tutor, and social benefits as a supportive environment. However, challenges include limited AI skills, dependency risk, and emotional understanding limitations.
A Northwestern University study discovered a region of the brain processes subtle changes in voice pitch, transforming them into meaningful linguistic information that guides human understanding. The findings challenge long-held assumptions about speech perception and have implications for speech rehabilitation, AI-powered voice assist...
Researchers at Ohio State University developed a social studies curriculum that taught fourth graders 'civic competencies,' including disciplinary thinking and argumentation skills. The results showed significant improvements in students' ability to collaborate, communicate effectively, and consider multiple perspectives.
The article presents guidelines for designing consent materials and procedures for autistic adults and people with intellectual disability, highlighting the importance of multiple modes to deliver content. These guidelines aim to improve accessibility and respectfulness in research with individuals on the autism spectrum.
Researchers discovered a horizontally distributed and modular organization of cortical movement units, with different types of neurons forming functional clusters in distinct regions. The study also found that the brain re-networks and adapts to learn new motor skills.
Researchers created a fiber computer that can be integrated into clothing to track health conditions and physical activity. The technology achieved an average accuracy of 70% when individually operated, but increased to nearly 95% when connected collectively.
Researchers at UniSA found problem-based learning improves engagement, creativity, and academic outcomes for disengaged high school students. The approach links learning to real-life challenges, empowering learners through project-based learning and service to their community.
Camille Bilodeau's project uses AI and molecular simulations to design peptide-covered surfaces for targeted applications, including new medicines, water desalination, and semiconductor manufacturing. Her research group aims to develop a rapid predictive tool to understand surface-water interactions of tethered peptides.
Researchers at Columbia University developed a way for robots to autonomously model their own 3D shapes using a single camera, enabling them to understand and adapt to their movements. This breakthrough allows robots to overcome damage to their bodies, making them more reliable and resilient for various applications.
Researchers argue that a new definition is needed to accurately describe dyslexia and provide specific support. The new definition retains the idea of difficulties with reading and spelling relative to age, ability, or educational expectations.
Researchers developed innovative techniques and optical solutions to overcome long-standing challenges in facial projection mapping. They achieved unprecedented speed in dynamic facial projection mapping while maintaining high accuracy, and proposed methods to simulate video annotations and minimize alignment artifacts.
The Grubhub Community Fund has awarded the American Heart Association a $2 million grant to support food security, technology innovation, and economic resiliency in New York City and Chicago. The funds will be allocated to up to 12 organizations and entrepreneurs focused on improving health equity and expanding access to capital.
Researchers found that large language models use a semantic hub mechanism to process diverse data, integrating information from various modalities. They demonstrated that models can change their outputs by intervening with text in the dominant language, even when processing other languages.
Researchers are using machine learning to enable autonomous control of particle accelerators, opening up new possibilities for commissioning and operating high-power accelerators. The technology has been successfully applied to the CAFe2 superconducting segment, achieving global trajectory adaptive control.
Researchers have developed software tools that analyze student behavior in real-time, assessing how well students develop and use collaborative problem-solving skills. The tools can modify the game to improve learning outcomes by identifying patterns of behavior associated with specific learning outcomes.
A new study found that babies show positive responses to the smell of foods they were exposed to in the womb after birth. Newborns whose mothers had taken carrot powder capsules reacted favourably to the smell of carrot, while those whose mothers had taken kale powder capsules reacted more positively to the scent of kale.
A study published in PLOS Biology found that repeated stress in mice reduces their ability to perceive loud sounds, as measured in the auditory cortex. This altered brain processing is reflected in a behavioral task where stressed mice were more likely to report louder sounds as soft.
Researchers examine how stroke patients develop post-stroke sensory reweighting (PSR) to improve walking and balance. PSR is a critical factor in determining patient outcomes, with those who develop it experiencing better balance and reduced risk of falls.
Researchers at MD Anderson Cancer Center have made significant advancements in treating oligometastatic prostate cancer, advanced urothelial cancer, and triple-negative breast cancer. Personalized risk-based screening is also being explored as a tool to reduce cancer deaths.
Researchers develop new method to study glycosylation in proteins, discovering that gut bacteria can alter molecular signatures in the brain. The study found over 150,000 glycosylated protein forms in brain tissue samples from mice.
Researchers mapped the precise brain mechanisms that enable animals to overcome instinctive fears, revealing two key components in this learning process. The study found that a brain structure called the ventrolateral geniculate nucleus (vLGN) stores learning-induced memories and is triggered by the release of endocannabinoids.
A new study shows Indian students who work in retail markets perform poorly on school-type math problems, while those still enrolled in school do better on marketplace math. This contrast highlights a need to address the skills gap between academic and applied math, with experts suggesting different approaches for each group
Researchers at UCSF have discovered how a unique type of virus called a jumbo phage protects itself inside bacteria. The shield works via a set of secret handshakes that allow only useful proteins to pass through, giving the phage an advantage over regular phages when fighting infections.
A new study found that AI assistance increases worker productivity by 15% in customer service sectors, with significant improvements in speed and quality for less-experienced employees. However, its impact is minimal on higher-skilled workers, while adherence to AI recommendations leads to larger gains in productivity.
Researchers found that training AI agents in a less noisy environment can lead to better performance than traditional methods. The indoor training effect suggests that constructing simulated environments with specific noise levels can improve AI learning.
A University of Oklahoma researcher is exploring alternate strategies for identifying and targeting Alzheimer's and related diseases using a $2.2 million federal grant. The study aims to understand the mechanisms linking aging to cognitive decline, potentially leading to new treatments for dementia.
A new study reveals striking similarities and critical gaps in how three major countries measure healthcare quality, with an emphasis on family medicine and process-focused metrics. The findings underscore the need for a more balanced approach that includes all aspects of medical care, from infrastructure to patient outcomes.
A study found that people with delayed REM sleep have higher levels of toxic proteins amyloid and tau, and lower levels of healthy protein BDNF, which can increase the risk of developing Alzheimer's. Practicing healthy sleep habits may help mitigate this risk.
Researchers suggest that learning different facets of information in each session and retrieving information from memory in various ways can lead to better memory retention. This method involves creating multiple paths to memorized information, which can be used to retrieve the information more effectively.
Researchers analyzed London taxi drivers' route-planning behavior and found they prioritize high-complexity parts of the city space during offline thinking time. This contradicts previous hypotheses about their decision-making process.
A study by Professor Jan Peters at the University of Cologne explores how virtual slot machines' design features trigger dopaminergic effects in the brain's reward system, leading to erroneous beliefs and expectations about control over outcomes and chances of winning. This can lead to continued gambling despite high losses.
The new model, based on a PV-RNN framework, achieves compositionality by combining language with vision, proprioception, working memory, and attention. It requires less computing power than large language models (LLMs) and makes mistakes similar to humans.