Articles tagged with Learning Processes
Researchers found that the cardiac cycle modulates neural responses to external information in humans and rabbits, with improved learning rates observed during the resting phase of the cardiac cycle. This suggests a potential link between bodily rhythms and learning, warranting further investigation.
The Exploratorium has launched its new Global Climate Change Explorer website, offering a platform for the public to engage with climate data and scientific research. The site features five areas of exploration, including Atmosphere, Oceans and Water, Ice, Land and Living Systems, and Looking Ahead.
Scientists have uncovered how mice ignore their own footsteps, offering insights into human speech and music learning. The study shows that mice develop an adjustable sensory filter to suppress movement-related sounds, improving sound detection in their environment.
The project aims to develop tools to learn experientially about the harmful effects of transmitted collective traumas and their impact on hatreds and vengeance. Local events will be organized to test experiential learning tools, bringing together students, teachers, and community members.
Researchers from UPNA won a second-place award at a scientific meeting for their work on modifying the machine learning process with Choquet integral, improving deep neural network performance in classification problems. The collaboration involved researchers from Brazil and institutions in Navarre.
A new study found that the brains of professional beatboxers and guitarists respond uniquely to their respective sounds, with increased activity in areas associated with movement and language. The research suggests that experience of producing music can shape brain responses and perception.
Researchers discovered that vesicle and scaffold proteins arrive at nascent synapses as preformed functional units, enabling instantaneous neurotransmitter release. The findings may aid in designing better nerve-regenerating therapies and accelerating synapse formation after injuries.
Billi London-Gray, a UTA art lecturer, has won a Puffin Grant for her ongoing project, The Loop and Saw Choir. She collaborates with volunteers of all ages and abilities to create music using unique instruments such as musical saws and analog synthesizers.
Zebra finches learn to distinguish between birdsongs using trial and error or observation. Trial-and-error methods are more robust for generalization, while observation is faster but less effective.
A new 3D-printed optical deep learning network called Diffractive Deep Neural Network (D2NN) has been developed by Xing Lin and colleagues. This system processes information through layers of optically diffractive surfaces that work together to recognize handwritten digits with high accuracy.
ER patients often want more than just a diagnosis; they seek reassurance, symptom management guidance, and navigation of the healthcare system. Research reveals that addressing these concrete needs can improve patient care outcomes.
Researchers discovered that mice can learn to plan ahead and avoid future regret by skipping bad deals and taking extra time to make informed decisions. Over time, the mice's strategies changed from immediately going for the best option to planning ahead to prevent regret.
The ancient Rapa Nui people used a parbuckling technique to transport massive stone hats (pukao) onto statues, weighing up to 12 metric tons. The analysis of pukao shapes reveals physical constraints associated with transport, supporting the idea that Rapa Nui people were ingenious in their use of resources.
A single molecule expressed in the brain affects how we learn new tasks and acquire new memories. Mice with a mutated Arc protein showed cognitive inflexibility, highlighting the importance of proteins being switched on and off at the correct times.
The brain processes pattern learning in a distinct way compared to probabilistic learning, with different parts of the brain being activated. Participants showed increased activity in the hippocampus and ventromedial prefrontal cortex when figuring out patterns, indicating a sense of reward and improved learning speed.
A Drexel University study found that new parts of the brain become active when students learn physics, suggesting that learning is an imaginative process. The study used fMRI to measure blood flow in the brain and found increased activity in areas linked to problem-solving and memory.
Fuentes asserts that humans are distinctive, yet share similarities with apes. He proposes that human ability to alter ecosystems is our most distinguishing feature, enabling creative cooperation, technological innovations, and artistic expression.
The study found that the brain uses a two-step process to learn and categorize visual and auditory stimuli, allowing for easy building on previous content to learn novel information. This discovery could lead to the development of new methods to restore sensory deficits in individuals with disabilities.
A new study found that faster mice run, the faster they learn. Researchers used mutant mice with reduced running speed to demonstrate the causal link between running speed and enhanced learning. They also showed that once learned, performance still depended on running speed.
Cognitive deficits affect 40-65% of MS patients, impacting daily living and employment status. Cognitive abilities decline when patients convert from RRMS to SPMS, particularly in learning new information and mental processing speed.
The study found that more proficient boys showed increased activation in parts of the brain associated with grammatical rules, while girls used a wider range of language information, including speech sounds and meaning of words and sentences. This discovery may help optimize teaching methods for both genders.
Scientists at Bar-Ilan University discovered that learning in the brain occurs in dendrites, not just synapses. This new finding suggests a faster and more efficient learning process, with implications for current treatments and machine learning algorithms.
Researchers modelled molecular basis of learning in cerebellum, a brain region coordinating voluntary movements. The study reveals communication must occur in both directions across synapses to control learning, with an automatic off-switch allowing the system to return to its resting state.
Researchers found that when memory demands are high, signals in the brain correlate to reinforcement learning become stronger, suggesting a cooperative interaction between the two systems. When participants can hold information in mind, signals associated with reinforcement learning weaken, indicating an increased role for working memory.
Researchers found that mosquitoes can learn and remember human smells and associate them with defensive behaviors, leading them to avoid hosts who swat at them. This aversive learning is mediated by dopamine and can be exploited for mosquito control.
Barbara Dosher, UCI Distinguished Professor, receives the Atkinson Prize for her work on human memory, attention, and learning, while Etel Solingen is awarded the William & Katherine Estes Award for trailblazing research on nuclear proliferation.
Researchers at the University of Michigan have created a new type of neural network made with memristors that can dramatically improve the efficiency of teaching machines to think like humans. The system, called reservoir computing, uses fewer nodes and requires less training time than traditional neural networks.
A Dartmouth-led study found that humans rely on feature-based learning to reduce the complexity of choices and adapt quickly to new environments. Feature-based learning allows participants to selectively learn informative features without compromising precision.
Researchers at EPFL have developed a method to prevent AI from learning to circumvent human commands, allowing for safe and controlled operation of autonomous systems. By introducing 'forgetting' mechanisms into the learning algorithms, they can ensure that interruptions do not affect the way machines learn.
Researchers found that language learners prefer word orders with shorter dependencies, which are easier to process, suggesting a causal link between human cognition and language structure. This discovery provides new insights into the role of human information processing in shaping linguistic universals.
Grade school children from low-income homes have significantly smaller vocabularies compared to their peers, with a 10% difference in word learning, leading to long-term academic implications. The study suggests that increasing vocabulary through oral methods and visualizing sentence relationships can be effective interventions.
Researchers found that reduced levels of Staufen2 are associated with a specific impairment of memory in rats. The study shows that Staufen2 plays a crucial role in conveying messenger RNAs to synapses, which is essential for learning and memory formation.
Finches learn to adjust their songs depending on the situation they are in, with two distinct brain regions involved in this process: one for generalizable rules and another that can override them. This study provides insights into how humans learn complex behaviors like language and movement disorders.
Researchers at Numenta propose a new theory for how the brain learns models of objects through movement, pairing sensory input with location signals. The theory predicts that even the first levels of processing in the brain are learning and recognizing complete objects.
A study of 90 participants found that neural stimulation synchronized or desynchronized low-frequency brain waves between frontal cortex areas, corresponding to behavioral changes in control and learning. The findings have potential implications for the treatment of mental health disorders.
A study reveals that lab researchers should engage with industry counterparts to better understand the needs and challenges of real-world applications. This approach helped researchers adjust their focus and develop a potentially more useful set of applications for their work. By bridging the gap between research and commercialization,...
Research shows that people confuse faces with different expressions, even when they are clearly from the same person. Facial recognition is hindered by expressive faces until familiarity increases.
A long-term study at the University of Kansas investigates how to restore native prairie ecosystems on abandoned farmland. Excess nitrogen has been shown to lead to a loss in plant diversity and simplify the system, favoring only a few species. The research aims to speed up restoration processes and re-establish original biodiversity.
A study published in Scientific Reports found that consistent lead-in motions enable faster learning of new techniques, with participants perfecting their skills twice as quickly when executing consistent movements. The research has implications for skill learning and movement rehabilitation following neurological conditions.
A new study reveals that dietary restriction improves learning in worms by depleting a specific amino acid metabolite. The researchers used the nematode worm Caenorhabditis elegans to test how food deprivation affected learning and found that restricted access to food increased learning by reducing kynurenic acid levels.
Researchers developed a deep learning model to remove noise from computer-generated images, enabling production-quality rendering at higher speeds. The technology, tested with millions of examples from films like Finding Dory and Cars 3, successfully preserved detail in scenes while removing unwanted artifacts.
Researchers argue that synaptic plasticity and intrinsic plasticity are crucial in forming physical memory traces in the brain. Intrinsic plasticity plays an important role in adapting to new information and experiences, often without changes to connections between neurons.
Researchers found that Japanese children's handwriting development involves distinct temporal patterns of movement, which differentiate subtle features of each symbol. This process is linked to an air writing phenomenon in Chinese character-based cultures, suggesting a unique approach to learning the hiragana script.
A study from UT Southwestern Medical Center reveals a network of neurons vital for learning vocalizations in songbirds, which may hold clues to addressing speech disorders in humans. The discovery complements ongoing research into the brain's role in vocal learning and its potential applications for treating neurodevelopmental conditions.
A process-oriented teaching approach to improvisation in music is proposed, focusing on developing cognitive processes that enhance creativity. This approach encourages students to think about their creative processes and self-assess their experiences, leading to improved improvisational skills.
Researchers have developed a method for autonomous learning in self-taught systems, allowing them to evolve and adapt over time. This approach, which incorporates delayed dynamics and feedback loops, has been successfully applied to neural networks and phase oscillators, yielding robust performance with minimal external control.
Researchers at Queen Mary University of London used transcranial direct current stimulation to enhance creative problem-solving ability by suppressing a key brain area. Participants who received the intervention showed improved ability to think outside the box and solve complex problems.
The Howard Hughes Medical Institute's Inclusive Excellence initiative has selected 24 schools to improve their institutions' capacity for inclusion in STEM fields. These schools aim to address barriers and create a more inclusive climate through curriculum changes, faculty training, and student engagement programs.
Researchers at UC Berkeley created a robot called DexNet 2.0 that can pick up and move unfamiliar objects with high accuracy, using deep learning to learn grasps for 6.7 million 3D shapes.
Researchers at the University of Michigan have developed a new memristor chip that can process complex data, such as images, much faster and with less power than traditional systems. Inspired by how mammals see, the chip uses pattern recognition to shortcut energy-intensive processes.
Researchers found that bilingual people's reading strategies are affected by the languages they speak, leading to a different pattern of reading than monolingual speakers. This discovery has implications for clinical and education practice, including diagnosing dyslexia and developing tailored reading strategies.
Researchers at UT Dallas are investigating a technique to accelerate language learning by stimulating the vagus nerve during specific tasks. The goal is to improve the brain's natural ability to learn and potentially benefit individuals with learning impairments or conditions such as autism.
A team of researchers observed an American badger burying a 50-pound calf carcass over five days, marking the first known instance of such behavior. The finding suggests that badgers may play a significant role in sequestering large carcasses, benefiting cattle ranchers by reducing disease vectors and attracting larger predators.
Researchers at Kyoto University discovered that nanocages facilitate the fast folding and stability of G-quadruplexes, a type of biomolecule. This breakthrough has potential applications in understanding diseases, cancers, and allergies, as well as developing new drug treatments.
Researchers explore how to cultivate innovative thinking in students by focusing on characteristics like abstract thinking, motivation, and creativity. The authors argue that education can improve individuals' ability to utilize existing traits rather than trying to create new ones.
AVN-322 is a highly selective 5-HT6R antagonist that displays high binding affinity to the receptor and potency in blocking functional cell responses. In preclinical studies, AVN-322 showed improved cognition-enhancing effects and demonstrated antipsychotic potential.
Researchers improve methods to study Earth's history by addressing bias in data from old rocks. New technique reduces errors, providing more accurate paleointensity measurements.
Researchers developed a novel neural network method that can categorize complex datasets without prior knowledge. By using an 'act as if' principle, they trained networks to mimic human intuition, allowing them to identify boundaries in data. This method has potential applications in physics analysis, machine learning, and data mining.
NASA scientist William Zhang has developed a technique to manufacture lightweight, high-resolution X-ray mirrors using single-crystal silicon, reducing costs and improving resolution. The new technology addresses performance goals that have long been unmet in the field of X-ray optics.
Researchers studied how people learn to prioritize information in real-life situations, finding that selective attention determines the value of options and shapes learning through unexpected events. The study contributes to improved teaching, learning, and treatment of mental disorders.