Articles tagged with Observational Learning
Comprehensive exploration of living organisms, biological systems, and life processes across all scales from molecules to ecosystems. Encompasses cutting-edge research in biology, genetics, molecular biology, ecology, biochemistry, microbiology, botany, zoology, evolutionary biology, genomics, and biotechnology. Investigates cellular mechanisms, organism development, genetic inheritance, biodiversity conservation, metabolic processes, protein synthesis, DNA sequencing, CRISPR gene editing, stem cell research, and the fundamental principles governing all forms of life on Earth.
Comprehensive medical research, clinical studies, and healthcare sciences focused on disease prevention, diagnosis, and treatment. Encompasses clinical medicine, public health, pharmacology, epidemiology, medical specialties, disease mechanisms, therapeutic interventions, healthcare innovation, precision medicine, telemedicine, medical devices, drug development, clinical trials, patient care, mental health, nutrition science, health policy, and the application of medical science to improve human health, wellbeing, and quality of life across diverse populations.
Comprehensive investigation of human society, behavior, relationships, and social structures through systematic research and analysis. Encompasses psychology, sociology, anthropology, economics, political science, linguistics, education, demography, communications, and social research methodologies. Examines human cognition, social interactions, cultural phenomena, economic systems, political institutions, language and communication, educational processes, population dynamics, and the complex social, cultural, economic, and political forces shaping human societies, communities, and civilizations throughout history and across the contemporary world.
Fundamental study of the non-living natural world, matter, energy, and physical phenomena governing the universe. Encompasses physics, chemistry, earth sciences, atmospheric sciences, oceanography, materials science, and the investigation of physical laws, chemical reactions, geological processes, climate systems, and planetary dynamics. Explores everything from subatomic particles and quantum mechanics to planetary systems and cosmic phenomena, including energy transformations, molecular interactions, elemental properties, weather patterns, tectonic activity, and the fundamental forces and principles underlying the physical nature of reality.
Practical application of scientific knowledge and engineering principles to solve real-world problems and develop innovative technologies. Encompasses all engineering disciplines, technology development, computer science, artificial intelligence, environmental sciences, agriculture, materials applications, energy systems, and industrial innovation. Bridges theoretical research with tangible solutions for infrastructure, manufacturing, computing, communications, transportation, construction, sustainable development, and emerging technologies that advance human capabilities, improve quality of life, and address societal challenges through scientific innovation and technological progress.
Study of the practice, culture, infrastructure, and social dimensions of science itself. Addresses how science is conducted, organized, communicated, and integrated into society. Encompasses research funding mechanisms, scientific publishing systems, peer review processes, academic ethics, science policy, research institutions, scientific collaboration networks, science education, career development, research programs, scientific methods, science communication, and the sociology of scientific discovery. Examines the human, institutional, and cultural aspects of scientific enterprise, knowledge production, and the translation of research into societal benefit.
Comprehensive study of the universe beyond Earth, encompassing celestial objects, cosmic phenomena, and space exploration. Includes astronomy, astrophysics, planetary science, cosmology, space physics, astrobiology, and space technology. Investigates stars, galaxies, planets, moons, asteroids, comets, black holes, nebulae, exoplanets, dark matter, dark energy, cosmic microwave background, stellar evolution, planetary formation, space weather, solar system dynamics, the search for extraterrestrial life, and humanity's efforts to explore, understand, and unlock the mysteries of the cosmos through observation, theory, and space missions.
Comprehensive examination of tools, techniques, methodologies, and approaches used across scientific disciplines to conduct research, collect data, and analyze results. Encompasses experimental procedures, analytical methods, measurement techniques, instrumentation, imaging technologies, spectroscopic methods, laboratory protocols, observational studies, statistical analysis, computational methods, data visualization, quality control, and methodological innovations. Addresses the practical techniques and theoretical frameworks enabling scientists to investigate phenomena, test hypotheses, gather evidence, ensure reproducibility, and generate reliable knowledge through systematic, rigorous investigation across all areas of scientific inquiry.
Study of abstract structures, patterns, quantities, relationships, and logical reasoning through pure and applied mathematical disciplines. Encompasses algebra, calculus, geometry, topology, number theory, analysis, discrete mathematics, mathematical logic, set theory, probability, statistics, and computational mathematics. Investigates mathematical structures, theorems, proofs, algorithms, functions, equations, and the rigorous logical frameworks underlying quantitative reasoning. Provides the foundational language and tools for all scientific fields, enabling precise description of natural phenomena, modeling of complex systems, and the development of technologies across physics, engineering, computer science, economics, and all quantitative sciences.
Researchers have developed a computer vision system that uses a brain-inspired approach to learn and identify objects in real-world images. The system is trained on a vast amount of data from the internet, allowing it to build a detailed model of objects without external guidance.
Researchers found that the brain recognizes familiar faces more uniformly across the visual field through repeated social interactions. The study suggests that early visual processing is tuned for consistent recognition of personally familiar faces.
A new parser developed by MIT researchers can learn language through observation, mimicking a child's process, to improve human-machine interaction and natural language processing. The parser uses captioned videos to associate words with objects and actions, allowing it to accurately predict sentence meaning without direct context.
A new study by Vanderbilt University researchers found that highly rated principals use 'strategic retention' to keep high-performing teachers and remove low-performing ones. Effective principals focus on teacher observation scores to identify underperformers, using informal methods such as counseling out.
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.
Researchers pinpoint neural interactions that allow us to learn from observing others' experiences. The ACC and BLA regions in the brain are found to be active when we learn by watching others, and a specific circuit is identified that enables this type of learning.
Researchers found that adult listeners can learn to recognize previously unfamiliar speakers from seeing only the motion they produce while talking, even with limited exposure. This discovery has important implications for personal and facial recognition technologies.
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.
Researchers discovered a subset of neurons in bat and rat hippocampi that specifically encode the spatial position of other members of the same species. These findings provide insights into how social animals navigate and interact with each other.
Researchers used a new method to date ancient Mogao Grottoes paintings by analyzing their drawing styles, which were learned through deep learning. The technique successfully dated six paintings and revealed the creation era of other works, reducing uncertainties in dating ancient paintings.
Researchers at UC Berkeley have developed a robotic learning technology called visual foresight, enabling robots to predict and manipulate objects they've never seen before. This breakthrough allows for autonomous learning of complex skills without human supervision or prior knowledge.
A new study demonstrates that babies can learn, remember and use contextual cues in a scene to guide their search for objects of interest. The study found that 6-month-old babies showed steady improvement in finding faces in repeated scenes, but didn't get any quicker or more accurate in finding faces in new scenes.
Researchers at Tel Aviv University have discovered that brief memory reactivations can replace extensive practice and training as a basis of procedural learning. By leveraging this novel approach, individuals can improve their learning with just several brief but highly efficient reactivations of a learned memory.
Researchers at Queen Mary University of London trained bumblebees to roll a mini-ball into a goal, demonstrating unprecedented learning abilities. The study found that bees learned more efficiently when observing a skilled demonstrator, suggesting complex cognitive flexibility.
A Brown University study finds that overlearning visual perception tasks strengthens learning and prevents interference, while a longer break between tasks allows for similar performance on both. The study suggests that a temporary shift in neurotransmitter balance is key to the effect of overlearning.
A new 'deep rendering mixture model' enables computers to learn about the visual world largely on their own, using a semisupervised learning method. The algorithm achieved higher accuracy than previous methods in distinguishing handwritten digits, even with limited training examples.
A new theory of infant language learning suggests that visual experience plays a key role in early word acquisition, with common objects emerging as first words. The study's findings have implications for the treatment of children with language deficits and autism.
A UCLA-Caltech study has pinpointed the individual neurons in the brain that support observational learning, a skill essential for human decision-making. The research team discovered that these neurons fire in response to schadenfreude, the pleasure of seeing someone else make a mistake.
Researchers found that networks based on affiliative behaviors, like preening and sharing food, play a major role in transmitting information among ravens. These social connections, especially between siblings, emphasize the importance of family ties in learning.
Researchers at Brown University used a novel MRI technique to induce people to perceive colors that weren't really there, targeting early visual areas of the brain. The study showed that associations were learned strongly enough to persist for up to five months.
Researchers discovered that people's stereotypes can alter brain activity when viewing faces, making them appear more in line with biased expectations. The study found specific patterns of visual bias and neural activation, confirming stereotypical associations with the US population.
Researchers found that observing a person in pain can lead to nocebo hyperalgesia, while unexplained interventions also elevate pain experience. The study suggests taking these factors into account in medical practice and research to better understand nocebo hyperalgesia.
Researchers found that observing others' risk-taking behavior changes one's own attitude towards risk, with the brain responding to this change in activity levels. The study also found that participants could learn and predict the risk-taking preferences of an observed peer.
A new study published in Frontiers in Psychology suggests that watching online tutorials with prior knowledge of the demonstrator's skill level can lead to improved performance. The researchers found that this approach enables students to better detect technical errors and imitate expert-level shots.
David Freedman, a neuroscientist from the University of Chicago Medical Center, has been awarded the 2016 Troland Research Award for his groundbreaking research on how the brain learns and recognizes visual categories. His work reveals that individual neurons in the parietal and frontal cortices can encode information about categories.
Researchers developed a computer model called Bayesian program learning framework (BPL) that captures humans' unique ability to learn new concepts from a single example. The BPL model achieved human-level performance on challenging concept learning tasks, outperforming recent deep learning approaches.
The study aims to develop machine learning models that mimic the toddlers' ability to recognize objects, leveraging 500 hours of video and 54 million images from over 100 children. The research could lead to more sophisticated digital object-recognition technology.
Researchers found that preverbal infants can learn basic rules through audio-visual pairs only when stimuli match each other's nature. The study suggests that unified sensory input is crucial for effective learning in infancy.
A recent study investigates how blind individuals characterize others by race, revealing a slower and less automatic process than sighted individuals. Blind participants categorized fewer people by race due to the slower pace of assigning race, which typically occurs with extensive interactions rather than casual encounters.
A recent study from Brown University suggests that video gamers excel in visual tasks, not just due to prior practice, but also because of enhanced learning abilities. Gamers outperformed non-gamers on two consecutive visual task learning exercises by an average of 15% and 11%, respectively.
Researchers found that associating foreign-language terms with gestures and images enhances learning outcomes, outperforming methods relying on listening or reading alone. The brain's motor system plays a crucial role in this process.
A new study led by Brown University found that older adults learn and retain visual perception tasks as well as younger people, but struggle to filter out irrelevant information. The researchers suggest this may be due to the brain's tendency to learn more than necessary, leading to a 'plasticity and stability dilemma'.
Researchers found that older individuals take in more irrelevant visual information due to a decline in filtering out non-task relevant details. This suggests a failure of attentional systems to suppress task-irrelevant signals.
A study by Brown University researchers found that older adults exhibit plasticity in their white matter, a different part of the brain than younger learners. This contradicts the long-held assumption that learning becomes more difficult with age.
A study conducted by Bielefeld University and the Palucca University of Dance in Dresden found that dancers who learned a dance sequence by observing it performed better than those who were taught through spoken instructions. The researchers also found that visual learning modality improved retention over time.
New research reveals widespread misconceptions among teachers worldwide about brain function, leading to ineffective teaching practices. The study highlights the importance of collaboration between neuroscientists and educators to improve education.
Virginia Tech researcher Devi Parikh aims to build intelligent machines that can understand the visual world from images and videos. She proposes teaching computers through visual abstractions, such as cartoons, which she believes are easier to illustrate than complex concepts.
Great tits can recall the location of cached food hideaways after one or 24 hours, according to a Swedish study published in Behavioral Ecology and Sociobiology. This observational spatial learning ability may be more crucial for non-hoarders like great tits, as it helps them survive during harsh weather conditions.
New research reveals that sleep plays a crucial role in consolidating visual task learning through specific brain frequencies. Brainwaves of 15 volunteers were measured during sleep and training to demonstrate increased sigma power in the visual cortical area, leading to improved performance on the task.
Researchers found that babies' brains show distinct activation patterns when watching an adult perform a task with different body parts. This somatotopic mapping helps facilitate imitation and could play a role in the baby's ability to copy actions themselves.
A new study by Duke University finds that male song sparrows with larger playlists learn to solve food-finding puzzles more slowly than those singing fewer songs. This unexpected result suggests a trade-off between song learning and spatial memory in birds' brains, with potential implications for human brain development.
The SMU Lyle School of Engineering's 'Innovation Gym' course has drawn attention from the Center For Creative Leadership (CCL) for its effective use of cross-functional teams and agile work processes. The CCL team will study the student techniques to develop new tools and processes that can benefit organizations nationwide.
Researchers discovered that brain connections in the vision-processing center can be strengthened by acetylcholine, allowing animals to associate visual cues with rewards. The study found that nerve cells in the primary visual cortex develop molecular memories, enabling animals to predict rewarding outcomes.
Researchers mapped auto enthusiasts' brain activity and found that their fusiform face area responds to both faces and cars. The study suggests that expertise in one domain can improve performance in another, potentially aiding treatments for individuals with difficulty recognizing faces.
Researchers used decoded fMRI neurofeedback to induce brain activity patterns, improving visual performance and learning in a novel approach. The method worked even when test subjects were not aware of what they were learning.
Researchers found that paper wasps can differentiate between unaltered faces faster and more accurately than geometric patterns or altered facial images. The ability to recognize individuals is crucial for colony stability in species like P. fuscatus.
A study by Binghamton University found that positive observational behavior data increases sales, while negative observations have little impact. This discovery should ease fears for online retailers, who can now display statistics on consumer behavior without discouraging purchases.
Researchers at Ohio State University found that infants develop the ability to transfer knowledge between 8-16 months. At 8 months, they struggle with new information, but by 16 months, they can apply learned knowledge to new situations.
A study published in Neuron has shown that the correlated neural tuning to position and velocity is present in the neural learning elements responsible for motor learning. This finding could lead to the development of rehabilitation protocols that encourage patients to use an affected limb more, potentially improving recovery rates.
A recent report by a team of researchers finds that numerous studies on learning styles fail to satisfy key criteria for scientific validity. As a result, the widespread use of learning-style tests and teaching tools is considered a wasteful use of limited educational resources.
Researchers found that the brain uses local motion signals to learn global motion, contradicting previous assumptions. The study published in Journal of Vision suggests that local motion processes are more important for task-relevant perceptual learning of global motion than previously thought.
Researchers found that dynamic information is critical to learning to segregate objects from backgrounds. After three patients regained sight, their performance improved over time, with success rates increasing to almost normal when objects were in motion.
A study at the University of Exeter found that grey squirrels learn more quickly when rewarded for recognizing a different pot, suggesting they prioritize gathering and storing nuts. The research also shows that squirrels are primed to recognize other squirrels as potential food thieves.
Researchers at the University of Texas Health Science Center at Houston conducted a visual learning study that found viewers can learn about objects in their field of vision without paying attention. This challenges the common belief that attention is necessary for learning from visual stimuli. The study's findings suggest that ignorin...
A University of Pennsylvania psychology study found that individuals who identify as visual learners activate the visual cortex when reading words, while verbal learners convert pictorial information into linguistic representations. The study uses functional magnetic resonance imaging technology to scan the brain.
A new study reveals that reward-induced stimulus pairing can elicit visual learning in adults without conscious awareness of the stimulus presentation or reward contingencies. This suggests that automatic reinforcement mechanisms rather than directed attention drive improvements in sensory skills.
Researchers aim to develop new computational models of visual system learning and uncover mechanisms that explain the learning process in neural circuits. The project seeks to understand the role of feedback connections in the visual cortex during learning.
A study by Dartmouth researchers found that people can acquire motor skills through observation as well as practice. The Action Observation Network in the brain was activated equally when participants observed practiced and unpracticed sequences.
A study by researchers at New York University's Departments of Psychology found that the neural process for acquiring fears through social observation is similar to that of direct experience. The brain's amygdala plays a critical role in both processes, indicating that observing others' emotional states can evoke empathic responses and...
Scientists have successfully traced associative learning to early stages of the visual processing pathway, suggesting a more general property of the brain. By training monkeys to associate objects with specific signals, researchers found that neurons in the middle temporal area responded to both the original stimulus and the associated...