Articles tagged with Learning Processes
Human metacognitive behavior is distinct from AI's reward-punishment system, with humans adjusting memory retention in response to gain and learning speed in response to loss. This asymmetric property may provide insights into the neural mechanisms underlying human metacognition.
Researchers at Georgetown University Medical Center have discovered a new location for the brain's spoken word lexicon, which is located in the front of the primary auditory cortex. This finding has significant implications for recovery and rehabilitation following a stroke or other brain injury.
Researchers demonstrate that AI language models like ChatGPT can generate high-quality fraudulent medical articles with standard sections and references. The study highlights the need for increased vigilance and enhanced detection methods to combat potential misuse of AI in scientific research.
Researchers found that migrant male orangutan males use 'peering' behavior to observe local individuals and learn about new ecological knowledge, including how to process difficult-to-eat foods. This ability provides a survival advantage and is likely ancestral in the hominin lineage.
A soft robotics glove with integrated sensors and AI can aid patients in relearning daily tasks after neurotrauma, including playing music. The glove provides hand guidance, amplifying dexterity and motor skills.
Researchers found that deaf mice have nearly normal neural activity in the auditory system for two weeks after birth, suggesting a molecular mechanism for improved outcomes with early cochlear implants. This spontaneous activity helps train the brain to process sound before the ear canal opens.
Researchers discovered that a diet rich in the bacteria Lactobacillus reuteri can maintain associative learning ability in older nematodes. This finding suggests potential ways to use diet to reduce age-related cognitive decline in other animals, including humans.
A Virginia Tech study found that hellbender fathers are more likely to eat their eggs in deforested areas, leading to a drastic increase in filial cannibalism. The research suggests that protecting and re-establishing forest cover around streams is crucial for the species' survival.
A new rapid viral plaque detection system enabled by holography and deep learning can help accelerate vaccine and drug development. The system reduces the detection time of traditional viral plaque assays by up to 48 hours, eliminating chemical staining and manual counting.
Leading researchers discuss challenges associated with return to school for children and adolescents with TBI, highlighting the need for improved educator training and communication. Strategies for improving quality of life and outcomes are recommended by experts in this themed issue.
Researchers developed Precious1GPT, a multimodal transformer-based approach for aging clock development and feature importance analysis. The model utilizes methylation and transcriptomic data to predict biological age and identify disease-related genes, providing a pathway for therapeutic drug discovery.
A new machine learning algorithm analyzed high-resolution digital images of herbarium specimens, revealing that factors other than climate have a strong effect on leaf size within a plant species. The study also demonstrates how AI can be used to transform static specimen collections and quickly document climate change effects.
A study by Swansea University found that teaching mental health literacy in schools significantly improves pupils' knowledge, behaviours, and intentions to seek help. The Guide Cymru programme, developed with Action for Children, demonstrates a positive impact on young people's wellbeing.
A new research paper challenges the idea that unlimited trials are needed to learn safe actions in unfamiliar environments. The team presents a fresh approach that ensures learning safe actions with complete confidence while managing tradeoffs between optimality and exposure to unsafe events.
A group of educators is urging caution when using artificial intelligence (AI) in special education, highlighting its potential to benefit students with disabilities. The authors emphasize the need for careful consideration of AI's uses and limitations, including information literacy, consent, and critical thinking.
A recent study has found that microbes play a crucial role in storing carbon in the soil, with a four-fold greater importance than other processes. This breakthrough could lead to improved soil health and increased food security through targeted farm management practices.
A citizen science project in Italy involved 500 Italian students in trapping and identifying ambrosia beetles, resulting in new geographical records for two quarantine pest species. The students gained a greater understanding of the negative effects of invasive alien species and increased awareness of biological invasions.
A new study found that neurons in a key brain region have different functions based on their genetic identity, which could lead to better understanding of the brain's computational flexibility and memory capacity. The diversity of neurons in the CA1 region of the hippocampus was previously unknown and is crucial for memory development.
The Critical Online Reasoning in Higher Education (CORE) research group explores how students work with online sources and information for learning. The study will analyze students' processes in solving tasks, including search terms and source selection.
Researchers propose a four-step process for guiding the use of ChatGPT in education, identifying desired outcomes, determining automation levels, ensuring ethical considerations, and evaluating effectiveness. The study finds that ChatGPT can improve teaching models, assessment systems, and student learning experiences.
Global experts have developed a new checklist called iCHECK-DH to standardize the quality of reporting and improve implementation standards for digital health technologies. The 20-item checklist aims to aid researchers and practitioners in ensuring complete, accurate, and consistent reports.
Researchers have developed an automated calling algorithm for determining B and T cell clonality from NGS data with greater sensitivity than previous models. The new model increases the assay's sensitivity in detecting clonality, allowing for more accurate diagnosis and monitoring of lymphoproliferative disorders.
A new study by Emory University neuroscientists reveals that oxytocin plays a key role in male zebra finches' learning to sing by imitating their elders. The hormone influences young birds' preference for certain 'voice coaches', shedding light on the neural underpinnings of social vocal learning.
Researchers developed an AI-powered tool to identify and measure coral reef halos globally, providing a new method for monitoring ecosystem health. The tool enables efficient tracking of reef ecosystems' function at large scales, improving understanding and management of coral reefs.
Researchers used AI to study how the hippocampus produces varied replay types efficiently and their purpose. The model showed that sequences are prioritized stochastically according to familiarity and reward positions.
Researchers develop a new online learning algorithm that enables the training of larger spiking neural networks with six million neurons. This allows for faster and more efficient processing of tasks such as speech recognition and object detection.
Researchers have developed a system that uses generative diffusion to create new proteins, advancing the field of generative biology. The system, called ProteinSGM, learns from image representations to generate fully new proteins, which are biophysically real and functional.
Researchers at the University of Missouri identified occludin protein as a mediator for cell-to-cell transmission of coronavirus. The study found that damaged occludin protein enables virus replication and spread to neighboring cells, worsening symptoms.
Researchers at Bar-Ilan University have discovered that efficient learning on artificial shallow architectures can achieve the same classification success rates as deep learning architectures, but with less computational complexity. This breakthrough has significant implications for the development of unique hardware and advanced GPU t...
A recent study found that learning multiple new tasks improves cognition in older adults, with scores increasing by two to three times. The study, which had six and 27 participants aged 66 and 69, showed that cognitive abilities continued to grow over time, reaching levels similar to those of undergraduates.
Researchers developed a new framework for modeling task-switching, mimicking human behavior. The framework revealed two regions of the model's 'brain' doing each task, explaining the switch cost and potential benefits of splitting tasks.
West Virginia University is launching an innovative in-school mental health program to address a critical provider shortage and youth mental health crisis. The program, called the Mountaineer School-Based Mental Health Fellows Program, will place six advanced counseling graduate students in Harrison County schools each year.
Researchers at UTHealth Houston identified two brain networks involved in reading, working together to integrate word meanings. The study used electroencephalography recordings from patients with epilepsy to measure neural activity while reading complex sentences.
A new study by NYU researchers found that students' brainwaves in sync with their classmates and teacher are more likely to learn better. The study used EEG to track brain activity during lectures, finding that synchrony between brainwaves predicted higher post-lecture test scores.
A new deep learning-based model estimates breast density with high precision, correlating it to cancer risk. The model's performance is comparable to that of human experts, but it can be trained faster and on smaller datasets.
A study found that bilingual readers process Latin and Chinese characters in different ways due to the formation of specialized cortical areas within the Visual Word Form Area (VWFA). In English-Chinese bilinguals, areas were only stimulated by recognition of Chinese logograms, while English-French bilinguals showed equal activation fo...
A new study finds that clear and accurate information about the cause of death, provided in multiple formats, can influence family members' decisions to seek follow-up screening for inherited heart conditions. The study suggests that communication from death investigators and health care professionals is crucial in addressing families'...
Researchers call for integration of creative science courses into curricula, emphasizing improvisational discussions and questioning existing assumptions to drive transformative science. This approach aims to reduce misconceptions among the public about the scientific process.
Researchers debunk rock'n'roll myth, finding narcotics have no effect on inspiration. Instead, complex training programs, meditation, and cultural exposure boost creativity. Training that highlights mental techniques has long-term impacts, while mindfulness activities like meditation also improve imagination in the short term.
The HOPE Note Toolkit is being adopted by primary care clinics in the US to improve whole person integrative health visits. The toolkit assesses patients' physical, environmental, lifestyle, social, emotional, mental, and spiritual experiences with healthcare teams.
Researchers at Cornell University have discovered that female giant African pouched rats can undergo 'unusual' reproductive organ transformations. The study, published in Current Biology, explores how traits once considered fixed in adult animals may become variable under specific pressures.
New research highlights the need for extra support from professionals like teachers, youth workers, and speech therapists for children with disabilities when using the internet. The study found that these professionals often fail to provide adequate guidance on managing online risks, exacerbating existing digital inequalities.
A team of researchers developed a dynamical model that explains how animals learn over time, contradicting previous theories. The multi-dimensional model shows that learned associations are not mediated solely by strength but by multiple nearly independent pathways.
The study found that oral transmission has profound effects on music evolution, shaping vocal music towards structures that are easier to learn and transmit. Human transmission biases also play a significant role in evolving musical systems.
Two early-career cognitive neuroscientists, Anna Schapiro and Freek van Ede, have been awarded the prestigious Young Investigator Award by the Cognitive Neuroscience Society. Their research focuses on understanding human learning and working memory.
A new national US study suggests that young children who are taught by a teacher of the same ethnicity as themselves develop better learning and problem-solving skills by the age of seven. The effect was most pronounced in Black and Latinx children, with improved working memory and reading achievement scores.
A new study found that loss of Menin in the hypothalamus drives physiological aging in mice, including cognitive decline and reduced lifespan. However, supplementation with the amino acid D-serine reversed these age-related changes, improving skin thickness and bone mass.
Research reveals that individuals with OCD exhibit lower-than-normal learning rates when rewards are less than expected, while those with problem gambling display boosted learning from high rewards and blunted learning from low rewards. This study highlights the benefits of using neurocomputational approaches to understand psychiatric ...
A Dartmouth study found that COVID-19 can cause 'prosopagnosia,' or face blindness, and impairments in navigational abilities. Researchers worked with a patient who experienced difficulty recognizing faces and navigating, leading to dissociation between face recognition and cognitive map representation.
Researchers developed a new AI-driven method to detect and predict defects in 3D printed metals, enabling rapid improvements in additive manufacturing. The method uses X-ray imaging and machine learning to identify pore generation in real-time with near-perfect accuracy.
A novel deep learning-based forecasting model predicts uncertain parameters related to renewable energy sources, their energy demand, and market prices. The model demonstrates improved prediction accuracy and efficiency compared to existing methods.
Bielefeld University researchers developed an AI method using Capsule Networks to analyze genotype profiles of 3,000 ALS patients, achieving 87% accuracy in predicting whether or not people will develop ALS. The study reveals over 900 genes that play a role in identifying the disease.
A study by University of Essex found that negative emotions such as anxiety and anger can fuel success, but are linked to poor health and lack of strategic thinking. Positive perceptions and feelings of control, on the other hand, lead to enjoyment of learning and desire for success.
The University of Minnesota Medical School has received $1.4 million in funding to develop methods and risk management processes for clinical artificial intelligence and machine learning to optimize patient safety. The team will focus on understanding the performance of clinical AI at the individual patient level.
Researchers at Kyoto University found distinct patterns of gazing and brain activity in patients with kleptomania when shown relevant environmental cues. These results suggest a similar mechanism to drug addiction, potentially leading to the development of therapeutic treatments.
A study found that dog puppies but not kittens and wolf pups spontaneously imitate human actions, even when unrewarded. The researchers believe this can inform novel training methods less dependent on food rewards.
Researchers found pronounced delays in brainstem responses to sounds among newborns later diagnosed with autism spectrum disorder. This delay may be linked to limited access to sound frequencies and difficulties integrating sensory streams, ultimately affecting social interactions and communication.
Researchers found that calibrating rates of information delivery to match individual brainwave cycles speeds up cognitive skill improvement. This technique, called entrainment, increases capacity to absorb and adapt new information.
A study with human subjects found that varying training conditions led to better generalization of task performance, even in the presence of irrelevant stimuli. This suggests that more variability in training can lead to improved learning outcomes by enabling the brain to create invariant representations.
Researchers at Bar-Ilan University have developed a new type of artificial neural network that outperforms traditional deep learning architectures. By using tree architecture with single routes to output units, they achieve better classification success rates, paving the way for efficient and biologically-inspired AI hardware.