Articles tagged with Learning Processes
A National Institutes of Health-funded study found that coordinated brain activation, including 'replay' events, helps rats learn how to navigate toward goals. Reverse replay is crucial for reflecting on past paths, while forward replay supports planning for future choices.
A recent study by Max Planck Institute researchers found that learning to read does not harm the brain's ability to process culturally relevant objects like faces and houses. In fact, reading may even enhance overall visual processing.
A study by neuroscientists from HSE University found that brain signals in the striatum and parietal cortex influence price adjustments in competitive markets. The results provide insight into the brain mechanisms at work when determining prices in such conditions.
Researchers developed a neural network model using machine learning to predict Universe structure formation. The new model is more accurate than existing analytic methods and efficient enough for large-scale simulations.
Researchers found that brain stimulation during short breaks improves recall of learned motor sequences, even after several hours of practice has stopped. The study suggests that pauses between practice sessions solidify learning in the brain, and stimulation can enhance this process.
A team of scientists from UMass Amherst and China has developed a new dynamic, two-step process to break down tetrabromobisphenol A (TBBPA), a persistent global pollutant. The process uses sulfidated nanoscale zerovalent iron (S-nZVI) to degrade TBBPA into harmless carbon dioxide and water.
Researchers found that students who see objects first and then hear the name process inconsistent information better than those who hear the name first. This 'frequency boosting' ability helps learners identify and use the most frequent rule, leading to more consistent learning outcomes.
University of Utah chemists developed an algorithm that analyzes previous chemical reaction data to predict hypothetical reactions, narrowing the range of conditions needed for successful synthesis. The model successfully predicted outcomes for various reactions, offering a time-saving solution for pharmaceutical and materials research.
Researchers developed Deep-CEE, a deep learning technique to speed up finding galaxy clusters. The novel approach uses AI models trained on images to identify galaxy clusters, replacing manual analysis by astronomer George Abell.
Artificial intelligence is being incorporated into a first-year mass communications class at Lehigh University, equipping students with skills to adapt and shape AI. The new approach aims to prepare students to report on AI's impact on journalism and help shape its future.
Researchers have integrated power grid considerations into the model of a newly planned net-zero energy district, enabling expansion of sustainable urban areas. The study found that centralized planning provides a means to proactively ensure reliable electricity service and mitigate daily and seasonal fluctuations.
Data scientists at Pacific Northwest National Laboratory studied three years of discussions on Reddit from January 2015 to January 2018, analyzing the speed and scale of discussion spread related to Bitcoin, Ethereum, and Monero. The findings reveal that Bitcoin discussions grow the fastest, followed by Ethereum and then Monero.
The Hubble Space Telescope's Wide Field Camera 3 has captured a breathtaking image of NGC 7773, a mature barred spiral galaxy. The galaxy features a luminous bar-shaped structure, thought to be a sign of galactic maturity and stellar nursery.
Researchers at Columbia University have developed a new technique using reinforcement learning to train a neural network model to plan synthetic routes to any target molecule. This approach is more successful than existing strategies and can optimize user-specified objectives such as cost, time, and sustainability.
Researchers at Aalto University developed a new method to assess the impact of moving Arctic ice on physical structures. The technique uses numerical experiments to simulate the effects of micro-level changes in ice loads, revealing that thickness is the most important factor in determining the wear and tear of ice on structures.
Researchers identified two proteins in young mouse blood that enhance neuronal connectivity and synaptic function in human neurons. These findings suggest that young blood contains multiple synapse-promoting factors that could contribute to cognitive aging and decline.
Researchers developed an automated system using facial recognition to predict high-risk behavior in ICU patients, such as removing breathing tubes. The tool achieved moderate accuracy and has the potential to continuously monitor patient safety.
Researchers found that transcranial random noise stimulation improved participants' motion integration thresholds, enabling better learning of visual cues. The technique also showed long-term retention of benefits, suggesting a promising approach for overcoming key hurdles in vision therapy.
Researchers at Osaka University developed an automatic diagnosis system using deep learning and MEG, achieving high accuracy in classifying patients with neurological diseases. The system outperformed conventional methods using waveforms, offering a promising approach for clinical practice.
The insular cortex sends warnings to brain areas involved in threat learning, enabling animals and humans to avoid future harm. This process is crucial for survival and involves the encoding of pain in the brain.
Researchers discovered that the right hemisphere plays a crucial role in processing foreign speech sounds at the beginning of language learning. Successful learners showed increased activity in the right hemisphere during sound recognition tasks. The study's findings have the potential to improve instructional methods for adult learners.
A recent study led by IGB demonstrates complex learning behaviour in Atlantic sturgeons. The fish trained to search for food in a sandy environment showed improved feeding behavior and increased formation of the transcription factor neurod1 in their brains.
Research by Laurie Weingart and Matthew Cronin focuses on respect to promote learning and consensus building in science communication. The study highlights the importance of bridging representational gaps, or rGaps, which occur due to fundamental differences in values, perspectives, and knowledge bases.
A recent BYU study used infrared cameras to measure pupil diameter and found that couples who worked together experienced reduced stress levels. The research, published in PLOS ONE, builds on previous landmark studies showing the benefits of relationships for longevity.
A new study at Brown University found that using arbitrary categories can improve the transfer of visual learning to real-life skills. Participants trained on categorizing blurry striped circles showed significant improvement in recognizing patches with the same angle, even when not training specifically on it.
Modern family businesses should prioritize equipping all members for the unexpected, rather than focusing on internal relationships. The study's findings highlight the importance of interactive socialization, where younger family members network with external stakeholders and peers to bring new skills and knowledge into the business.
Researchers at Università di Trento's Center for Mind/Brain Sciences found that preparatory, unconscious eye movements can be a window into the learning process. By analyzing these eye movements, scientists can infer what people know before responding to external stimuli, potentially advancing our understanding of learning and attention.
Researchers at UC Berkeley have developed an ambidextrous approach that enables robots to grasp various objects without training, paving the way for faster and more efficient e-commerce fulfillment. The system uses a common reward function for different gripper types, allowing it to rapidly decide which gripper to use for each situation.
The study reveals four key themes: gravity of losses, logistics of care, personal versus professional conflicts, and increased student cohesion. The school counselors' reflections provide valuable insights into how they navigated crises while balancing their own needs.
A study at the University of Göttingen found that people learn positive associations with words much faster than neutral or negative associations. The researchers used electroencephalography to analyze brain activity, revealing specific neuronal reactions after just 100 milliseconds for words associated with loss.
Researchers at Argonne National Laboratory are using machine learning algorithms to optimize engine simulations, significantly reducing design time and increasing accuracy. The project aims to create a more efficient and emissions-free combustion process, with potential applications in the automotive industry.
Researchers at Mainz University Medical Center have developed a new approach to treating anxiety disorders by anchoring positive experiences in the brain's memory. The study, published in Nature Communications, found that administering a commercially available drug that increases dopamine levels can reinforce fear extinction memories a...
Researchers at Scripps Research have discovered the physiological mechanism behind memory formation and forgetting in fruit flies. A single dopamine neuron is responsible for driving both learning and forgetting processes, reversing cellular changes made during learning to degrade older memories.
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.
This study examines the relationship between peer reactions, peer behavior, student attitudes, and student deviance in Japan and the US. It finds that peer reactions more strongly predict student attitudes toward deviance in both countries, while peer deviance predicts student deviance in the US more strongly than in Japan.
Researchers discovered that the brain's 'posture cells' can predict an animal's position in three-dimensional space. These neurons, found in the posterior parietal cortex (PPC) and frontal motor cortex (M2), encode body posture and spatial awareness in mice.
A study published in Nature reveals that the RNA modification m6A facilitates learning and memory in mice by promoting translation through the Ythdf1 reader protein. The researchers found that knockout mice showed significant deficits in spatial learning and fear memory, but these deficits were reversible upon re-expression of Ythdf1.
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.
Researchers at Stanford University have created two frameworks, RoboTurk and SURREAL, that enable humans to teach robots basic skills more efficiently. The systems allow people to direct robot arms to perform tasks like picking up objects in real-time using a smartphone and browser.
Researchers developed a new dynamic model that quantitatively incorporates group behavior into individual decision-making, predicting the sensitivity of individuals to persuasion and deception. The model uses non-integer derivatives to compress the influence of groups into a single parameter.
RIT researchers are building an automatic speech recognition application using deep learning to document and transcribe the traditional Seneca language. The project aims to support other rare or vanishing languages as well. The team has collected over 50 hours of recorded material and achieved promising results.
A study by Cameron Buckner using deep neural networks suggests that human knowledge stems from sensory experience, a school of thought known as empiricism. The networks demonstrate how abstract knowledge is acquired and can be used to understand complex tasks in neuroscience and psychology.
Researchers recommend creating simple formats with limited answer options to enhance learning and recall. The study also advises engaging 'real-world' cognitive processes in test questions and avoiding 'none of the above' and 'all of the above' answer choices.
Researchers found that testing students throughout a lecture enhances learning by facilitating association between old and new information. However, excessive questioning or easy questions may have detrimental effects.
University of Pittsburgh professors Samuel Dickerson and Renee Clark are using computer-aided simulations to promote reflective and metacognitive thinking among engineering students. They aim to improve learning and development by encouraging frequent use of reflection and metacognition.
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.
Researchers at McGill University found that aging brains retain neuroplasticity but experience dysregulation leading to unstable learning. Increasing GABA levels in older rats prolonged the effects of audio tone exposure, suggesting a potential strategy for improving retention in the aging brain.
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.
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.