The study reveals that top-down information from the higher-order motor cortex to the primary motor cortex is crucial for motor learning, while newly formed synapses in the thalamus store acquired motor memories. This challenge to the widely held view suggests a two-step process for motor skill learning.
The new AI system uses associative learning to detect similarities in datasets, reducing processing time and computational cost. By leveraging optical parallel processing and light signals, the system can identify patterns and associations more efficiently than conventional machine learning algorithms.
A study by Max Planck Institute for Human Development found that children use spontaneous strategy changes and broader attentional focus to achieve better results, similar to adults. This broadens the understanding of learning behavior in children.
A three-year study found that librarian-teacher co-teaching significantly facilitates learner-centered instruction, such as maker learning and inquiry learning, across all levels of schools. School librarians played a crucial role in making these individualized learning opportunities possible by using various instructional methods.
Researchers from North Carolina State University have developed a new approach to federated learning that allows them to develop accurate AI models more quickly and accurately. By reformating updates sent to the centralized server, they can resolve the heterogeneity problem in data, improving model performance.
A UTSA professor will use a five-year $550,000 grant to study natural language processing and develop NLP models tailored to specific population groups. The goal is to improve the accuracy and relevance of these models in everyday applications.
Researchers developed a neural network algorithm that recognizes emotions and engagement from video images of faces, outperforming existing models in accuracy. The system can be integrated into video conferencing tools and online learning systems to analyze participant engagement and emotions.
A new study by University of Missouri found that Black nursing home residents and those under 65 are significantly more likely to experience repeat hospital transfers. This phenomenon can be attributed to various factors including 'full-code' status regarding end-of-life care, comorbidities, and inadequate staffing. The study suggests ...
A recent study has identified an important molecular analogy between the octopus brain and the human brain, specifically with LINE transposons active in both species. This discovery sheds light on the secret of the intelligence of these fascinating organisms, suggesting a convergent evolution of cognitive abilities.
Researchers at the University of Rochester have discovered a novel neural mechanism involved in causal inference that helps the brain detect object motion during self-motion. This discovery may have applications in designing artificial intelligence devices and developing treatments for brain disorders such as autism and schizophrenia.
A team at Portland State University is creating comics to share research findings on transportation and land development. The project aims to bridge the gap between academic research and the general public, addressing barriers such as complex language and storytelling, while showcasing the potential of visual rhetoric.
A new study by the University of Copenhagen found that children who move while learning sounds of letters significantly improve their ability to recognize individual letter sounds. This embodied learning approach can help give beginner readers a good start and may lead to better reading skills in the long run.
A new study suggests that current NHS complaint-handling policies focus too much on validity and not enough on learning from concerns raised. The researchers recommend clarifying roles, reviewing data collection systems, and involving patients in investigations to improve the system.
SourceSAGE·JournalJournal of the Royal Society of Medicine·TypeCase study·DateMay 31, 2022
A study by Ohio State University researchers found that people learn from incidental exposure to new objects, making them ready to learn. Participants who were exposed to unfamiliar creatures earlier on learned the differences between them more quickly during explicit learning than those who received no prior exposure.
Researchers at Simon Fraser University found that experiencing a balance-threatening physical consequence enhances motor learning and improves movement patterns for safer movement. This innovative approach could lead to effective therapies for individuals with neurological impairment.
Researchers at Sainsbury Wellcome Centre found that mice can choose the best escape route after only 10 minutes of exploration, without needing to experience threat. The study suggests that mice use innate heuristics and natural exploration to learn this information.
Research published in eNeuro found that physical consequences, such as slipping, can improve motor learning by refining movement responses to mistakes. Participants who experienced a slip improved their ability to adjust steps to new situations, demonstrating better generalization of learned skills.
The study found that the fragile X protein regulates the opening and closing of the GABA-A receptor in neurons from the brain's memory center, influencing how such neurons process information. This nuanced understanding may hold the key to developing effective therapies for fragile X syndrome.
A team from the University of Missouri is using artificial intelligence to accelerate the discovery process in materials science. By integrating machine learning algorithms and AI into traditional laboratory processes, they aim to reduce time and cost while increasing the rate of material development. Associate Professor Derek T. Ander...
Researchers aim to develop an audio health library to enhance communication during triadic visits. The study will analyze primary care visits and conduct user-design sessions to refine the system.
A UOC study finds that effective feedback requires a two-way dialogue between teachers and students, helping them bridge gaps in knowledge and skills. Students' emotional responses to feedback also play a crucial role, with positive emotions fostering engagement and improvement.
Australian secondary students' math rankings have dropped to 29th place globally, with a new study suggesting hand gestures are crucial for understanding mathematical concepts. Online learning has exacerbated the issue, making it harder for students to grasp math concepts without human motor and sensory skills.
Scientists have developed a machine learning algorithm that can accurately predict the lifetimes of different battery chemistries using as little as a single cycle of experimental data. The technique could reduce costs and accelerate the development of new battery materials, enabling researchers to quickly evaluate and test multiple ma...
The study analyzed over 40,000 words from English texts and found that monosyllabic Middle English words predominantly had long vowels, which were more easily processed by the brain. This suggests that our brains are wired to learn and prefer frequent sound patterns, leading to gradual language changes.
Researchers from Bar-Ilan University discovered that brain learning occurs mainly in dendritic trees, where the trunk and branches modify their strength. This finding paves the way for a new type of AI hardware and algorithms with comparable success rates to existing parallel GPUs.
Researchers have developed a novel image reconstruction method using Vision Transformer (ViT) architecture to overcome limitations of conventional methods. The proposed algorithm enables the acquisition of high-quality images in a short computing time, suitable for real-time capture and various applications.
A new study found that symbolic counting skills are strongly related to young children's fair sharing behavior. Researchers developed a counting intervention that improved sharing behavior in preschoolers, suggesting that learning to count may be a key factor in developing this social skill.
Scientists at the University of Oxford have developed an 'optomemristor' device that facilitates three-factor learning and emulation of biological computations, making it possible to perform complex machine learning tasks. The device uses both light and electrical signals to interact and consume very little energy.
The University of Kentucky is part of a five-year, $10 million NSF initiative led by CU Boulder to develop new cyberinfrastructure support services. The project aims to transform the way researchers use NSF-funded cyberinfrastructure, leveraging existing tools and expertise.
Researchers at UCF create brain-like devices that enable AI to function independently, allowing technology like robots and voice assistants to operate in remote areas or space. The devices use parallelism and in-memory computing, similar to the brain, for AI and unsupervised learning.
Research finds that brain circuit strength is linked to a child's ability to understand numbers. A four-week number sense training program targeting the intraparietal sulcus (IPS) and hippocampus improved learning outcomes for elementary school-aged children across abilities.
A multidisciplinary systematic review of 58 studies found that feedback, brain stimulation, and tools like gaze-guiding can help learn and retain complex skills. Minor refresher interventions, such as observing videos or practicing practical exercises, also have an impact on retaining knowledge.
A new study from St John's College, University of Cambridge suggests that robots can help produce solar fuels, accelerating the world's transition to green renewables. The 'cyber-leaf' concept uses AI and robots to create sustainable syngas, reducing reliance on fossil fuels.
The study found that while some students felt a sense of loss due to limited access, others saw the challenge as an opportunity to problem-solve and build flexibility. The researchers emphasize the importance of interpersonal relationships and instructors' resources in enhancing educational experiences.
A new study finds that the brain estimates controllability through competition between two parallel learning processes: the actor and the spectator. High levels of stress and anxiety impair people's sense of control, making them believe their actions don't matter.
Adversarially robust models capture aspects of human peripheral processing, with results showing similarity in image transformations and perception alignment. The study's findings shed light on the goals of peripheral processing in humans and could help improve machine learning models.
Researchers found that the primary somatosensory cortex, traditionally thought to be a basic sensory center, plays a deeper role in decision-making and facilitates flexible behavior with experience. The study suggests an expanded role for this brain area in adaptive strategies.
Researchers explored pigeons' categorization strategies using computer-generated stimuli and machine learning analysis. The study found that pigeons attach importance to specific characteristics of stimuli, leading to individualized categorization preferences.
Researchers use environmental DNA to monitor aquatic species near hydropower facilities, while also developing a novel method for printing full-strength steel components using additive manufacturing. These advancements could lead to more efficient and cost-effective monitoring and renewable energy production.
Researchers found that moderate aerobic cycling improved auditory verbal learning and processing speed, as well as increased volumes of the hippocampus and cerebellar cortex. The study suggests exercise interventions may be an attractive option for improving cognitive function in individuals with traumatic brain injury.
Research suggests that guided play can be just as effective as traditional instruction in developing key skills such as literacy, numeracy, and social skills. Guided play may even improve math skills and cognitive ability in younger children.
A recent study by UC Berkeley and Missouri State University scientists found that East African sunbirds have retained their songs for over 500,000 years, with some changes occurring in pulses. This discovery suggests that environmental stability may constrain the evolution of social signals like song.
The study's findings provide a foundation for developing efficient protein isolation techniques from insect powders, which could help address global hunger and malnutrition issues. Insect-based protein sources are rich in essential amino acids and offer a sustainable alternative to traditional farming methods.
The European Research Council has awarded €1.5 million in grants to three Saarbrücken-based researchers. Their projects focus on artificial intelligence and cybersecurity, with aims to develop fairer machine learning algorithms and secure computing methods.
A study by researchers at JAIST found that adding score-based incentives for quick answers led to higher learning gains, while varying difficulty levels boosted the thrill factor. Gamification strategies improved classroom activity, but exceeded a certain threshold, students felt disengaged.
Over 30,000 farms worldwide participate in On-Farm Experimentation (OFE), fostering locally-relevant knowledge and innovation. OFE's six guiding principles prioritize pragmatic collaboration between farmers, researchers, and industry partners to create directly applicable knowledge.
Researchers at Lawrence Berkeley National Laboratory developed a method to stabilize graphene nanoribbons and directly measure their unique magnetic properties. By substituting nitrogen atoms along the zigzag edges, they can discretely tune the local electronic structure without disrupting the magnetic properties.
A team of researchers demonstrates an adaptive optimization protocol that can engineer arbitrary high-dimensional quantum states, overcoming limitations due to noise and experimental imperfections. The protocol uses measured agreement between produced and target state to tune experimental parameters.
A team of researchers at Duke University found that surprise can disrupt the stability of patterns in the hippocampus, leading to more false memories. This study has implications for understanding learning and memory, as well as how people recall events and faces.
Researchers at the Max Planck Institute for Polymer Research have developed an organic neuromorphic circuit that allows a robot to learn and navigate a maze. The robot uses sensory signals to make decisions, receiving corrective stimuli when it makes wrong turns, and gradually learns to avoid them.
A new study reveals that orangutan mothers are proactively involved in teaching their young, tailoring behavior to match age and abilities. They adjust tolerance levels during feeding interactions, facilitating learning opportunities and enabling immatures to acquire complex foraging skills.
A new study reveals that mother bats teach their pups to navigate by carrying and dropping them off at specific trees, allowing the pup to learn through repetition. The study found that pups gradually expand their navigation circles, learning to fly independently and finding food sources on their own.
A new study by Ritsumeikan University reveals that whole-body dynamic balance training increases brain connectivity and improves motor learning. The research found significant changes in brain activity associated with offline learning, opening up new avenues for studying neural networks during natural tasks.
The insular cortex processes both positive and negative emotions and receives information from the body, including heart rate and breathing. In mice, the brain uses bodily signals to regulate fear, keeping it within a healthy range.
Researchers developed EDS-HAT, an AI-powered system combining machine learning and whole genome sequencing to detect clusters of similar infections in real-time. The system identified 99 clusters of infections and prevented potential transmissions in 65.7% of cases, saving the hospital $692,500.
A new study on mice finds that cognitive training designed to focus on what's important while ignoring distractions can enhance the brain's information processing. The research suggests that this type of training can lead to improved learning and memory, particularly in novel tasks. By analyzing neural activity in the hippocampus durin...
A new study improves AI diagnoses by penalizing algorithms for false negatives, which can be more urgent than accuracy. Researchers achieved significant improvements in precision and recall for chronic kidney disease and other conditions using cost sensitivity techniques.
A new study by Hungarian researchers finds that dogs use complex computations and brain regions similar to humans to learn word boundaries in speech. Dogs can recognize syllable patterning, such as frequent words with consistent syllables, and use this information to extract words from continuous speech.
Scientists studied rats in a virtual reality maze to gain a deeper understanding of the hippocampus' circuit-level functions. They discovered that hippocampal neurons encoded multiple aspects of an animal's location, including distance traveled and body direction.
A new study reveals that non-mammalian vertebrates may have an efficient way of deciphering between color and greyscale information. Zebrafish were found to use four types of cone-photoreceptors, which respond to different wavelengths, to distinguish color in a simpler manner than humans.