Results 81 to 90 of about 43,537 (268)

Bridging the Gap Between Second Language Acquisition Research and Memory Science: The Case of Foreign Language Attrition

Frontiers in Human Neuroscience, 2019
The field of second language acquisition (SLA) is by nature of its subject a highly interdisciplinary area of research. Learning a (foreign) language, for example, involves encoding new words, consolidating and committing them to long-term memory, and ...
Anne Mickan, Anne Mickan, James M. McQueen, James M. McQueen, Kristin Lemhöfer   +4 more
doaj   +1 more source

Neuromorphic Devices and Computing for Sensing, Memory, and Control

Advanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu, Nicholas Schaffer, Xiao Yang   +2 more
wiley   +1 more source

Analog Synaptic Plasticity in 2D Layered Material Iontronic Memtransistors for Brain‐Inspired Computing

Advanced Science, EarlyView.
In this work, we demonstrated a robust 2D MoS2 based iontronic memtransistor of planar architecture operated under the influence of an electrical double layer with versatile performance and applications, including pinched hysteresis nature of transfer curve, analogue channel conductance tuning, low‐voltage operation, logic‐gate operation, classical ...
Puranjay Saha, Saptarshi Bej, Bikas C. Das   +2 more
wiley   +1 more source

Developmental sequence of young children's understanding of “knowing,” “forgetting,” and “remembering”

Frontiers in Psychology
This study focused on examining young native Japanese children's linguistic understanding of words associated with awareness of one's memory, such as “know,” “forget,” and “remember,” to explore the early developmental process of metamemory.
Izumi Uehara, Izumi Uehara
doaj   +1 more source

Improving Memory Inhibition: A Study of Retrieval Induced Forgetting, Executive Control, and Chronic Aerobic Exercise

Frontiers in Behavioral Neuroscience, 2018
Chronic aerobic exercise is being established as a way to enhance executive functions and prevent cognitive decline. In the current study, we are aiming to investigate whether chronic aerobic exercise would also modulate long-term memory retrieval under ...
Concepción Padilla, Concepción Padilla, Pilar Andres, Pilar Andres, Teresa Bajo   +4 more
doaj   +1 more source

Organic Electrochemical Transistors for Neuromorphic Bioelectronics: Materials and Manufacturing Technologies

Advanced Science, EarlyView.
Organic electrochemical transistors bridge biological ionic signaling and neuromorphic computation through volumetric electrochemical gating. This review connects Organic mixed ionic–electronic conductor materials, device architectures, and manufacturing technologies to show how geometry, ion transport, and fabrication strategies program plasticity ...
Hyunjin Lee, Jihyang Park, Xinyi Wang, Yueqi Deng, Jiashu Ren, Tao Zhou   +5 more
wiley   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Abissology: Traumatic Memory in Esther Kinsky’s Novel Rombo (2022)

Interlitteraria
In her book Rombo (2022) Esther Kinsky traces the devastating earthquakes in north-east Italy in 1976 on the basis of natural and cultural observations and the memories of those affected.
Marko Pajević
doaj   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Temporal dynamics of categorization: Forgetting as the basis of abstraction and generalization

Frontiers in Psychology, 2014
Historically, models of categorization have focused on how learners track frequencies and co-occurrence information to abstract relevant category features for generalization.
Haley eVlach, Charles eKalish
doaj   +1 more source