Results 131 to 140 of about 206,384 (310)

Neural Information Processing and Time‐Series Prediction with Only Two Dynamical Memristors

Advanced Electronic Materials, EarlyView.
The present study demonstrates how simple circuits with only two memristive devices are utilized to perform high complexity temporal information processing tasks, like neural spike detection in noisy environment, or time‐series prediction. This circuit simplicity is enabled by the dynamical complexity of the memristive devices, i.e.
Dániel Molnár, Tímea Nóra Török, János Volk, Roland Kövecs, László Pósa, Péter Balázs, György Molnár, Nadia Jimenez Olalla, Zoltán Balogh, János Volk, Juerg Leuthold, Miklós Csontos, András Halbritter   +12 more
wiley   +1 more source

Episodic memory training with emphasis on categorization for older adults without dementia and depression / Treino de memória episódica com ênfase em categorização para idosos sem demência e depressão

Psicologia: Reflexão e Crítica, 2010
Aging may lead to cognitive changes, especially in memory. Yet, research suggests that older adults may improve memory performance after training. The present study aimed at evaluating the effects of episodic memory training offered to healthy Brazilian ...
Fabiana Castillo Roda Carvalho, Anita Liberalesso Neri, Mônica Sanches Yassuda   +2 more
doaj  

A SEMantic and EPisodic Memory Test (SEMEP) Developed within the Embodied Cognition Framework: Application to Normal Aging, Alzheimer's Disease and Semantic Dementia

Frontiers in Psychology, 2017
Embodiment has highlighted the importance of sensory-motor components in cognition. Perception and memory are thus very tightly bound together, and episodic and semantic memories should rely on the same grounded memory traces.
Guillaume T. Vallet, Guillaume T. Vallet, Guillaume T. Vallet, Carol Hudon, Carol Hudon, Nathalie Bier, Nathalie Bier, Joël Macoir, Joël Macoir, Rémy Versace, Martine Simard, Martine Simard   +11 more
doaj   +1 more source

Reversible and Controllable Transition Between Filamentary and Interfacial Resistive Switching in HfO2‐Based Memristors

Advanced Electronic Materials, EarlyView.
5 nm HfO2 memristors exhibit a fully reversible, voltage‐controlled transition between filamentary and interfacial switching within the same device. At high voltages, a filament forms and dominates the conduction, whereas at lower voltages the device reversibly returns to interfacial mode without defect accumulation, implying a new reversible ...
Cuo Wu, Hao Shen, Richard Schroedter, Chong Peng, Hampus Hoffman, Stefan Slesazeck, Ronald Tetzlaff, Thomas Mikolajick, Benjamin Max   +8 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Electropermanent Magnetic Muscles: Power‐Efficient, Low‐Voltage, Compact Magnetic Actuators to Power Wearables and Untethered Robots

Advanced Intelligent Systems, EarlyView.
This work presents compact, low‐voltage actuators based on electropermanent magnetic interactions. The actuators show good overall performance across key metrics and are implemented in wearable devices and untethered robots. Their ability to operate in different configurations and hold positions without energy input highlights their potential for ...
Arturo Castillo Ugalde, Carina Carrasco, Brijesh Chavda, Thileepan Stalin, Pablo Valdivia y Alvarado   +4 more
wiley   +1 more source

Across the Boundary: The Formalization of the Interface Between Episodic Memory and Narrow Syntax Computation of Human Language

Biolinguistics
A growing number of studies indicate that the hippocampus plays an essential role in language processing as well as episodic memory. However, there is no consensus on how it is engaged in both domains and how it connects the two domains.
Edward Ruoyang Shi
doaj   +1 more source

Activity of human hippocampal and amygdala neurons during retrieval of declarative memories [PDF]

, 2008
Episodic memories allow us to remember not only that we have seen an item before but also where and when we have seen it (context). Sometimes, we can confidently report that we have seen something (familiarity) but cannot recollect where or when it was ...
Mamelak, Adam N., Rutishauser, Ueli, Schuman, Erin M.   +2 more
core  

A functional magnetic resonance imaging study mapping the episodic memory encoding network in temporal lobe epilepsy [PDF]

, 2013
Meneka K. Sidhu, Jason Stretton, Gavin P. Winston, Silvia Bonelli, María Centeno, Christian Vollmar, Mark R. Symms, Pamela J. Thompson, Matthias J. Koepp, John S. Duncan   +9 more
openalex   +1 more source