Results 71 to 80 of about 139,691 (264)

Learning and brain plasticity in mental disorders

Restorative Neurology and Neuroscience, 2014
This special issue assembles studies that show the importance of learning and brain plasticity processes for the understanding of mental disorders. Most approaches to mental illness have examined the molecular or psychosocial factors underlying these disorders but have not focused on specific mechanisms such as learning or memory processes or brain ...
Herta, Flor, Andreas, Meyer-Lindenberg
openaire   +3 more sources

Microstructure Evolution of a VMnFeCoNi High‐Entropy Alloy After Synthesis, Swaging, and Annealing

Advanced Engineering Materials, EarlyView.
The synthesis and processing (rotary swaging and annealing) of the novel VMnFeCoNi alloy is investigated, alongside the estimation of the grain size effect on hardness. Analysis of a wide grain size range of recrystallized microstructures (12–210 µm) reveals a low annealing twin density.
Aditya Srinivasan Tirunilai, Zeki Ayrildi, Buse Şen, Maik Rajkowski, Mathias Redondo Garcia, Markus Stricker, Guillaume Laplanche   +6 more
wiley   +1 more source

Confronting trauma as a team: therapists’ experience with providing intensive trauma-focused treatment, within a framework of therapist rotation

BMC Health Services Research
Background Therapists report that working in a framework of therapist rotation decreases their fear of providing trauma-focused treatment, lessens avoidance behaviour and reduces therapists` drift from treatment protocol. In the present study we ask: How
Kristin Stotesbury, Hilde Einarsdatter Danielsen, Anders Lillevik Thorsen, Ottar Ness, Marius Veseth   +4 more
doaj   +1 more source

Optimization of the Production of Rubber Compounds Using Mathematical Models

Advanced Engineering Materials, EarlyView.
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann   +7 more
wiley   +1 more source

RM-SORN: A Reward-Modulated Self-Organizing Recurrent Neural Network

Frontiers in Computational Neuroscience, 2015
Neural plasticity plays an important role in learning and memory. Reward-modulation of plasticity offers an explanation for the ability of the brain to adapt its neural activity to achieve a rewarded goal.
Witali eAswolinskiy, Gordon ePipa
doaj   +1 more source

Modeling Dislocation Cutting of γ′ Precipitates in Ni‐Base Superalloys: Linking Atomistic and Dislocation Dynamics Simulations

Advanced Engineering Materials, EarlyView.
Dislocation cutting of γ′ precipitates in Ni‐based superalloys is investigated by linking atomistic simulations with discrete dislocation dynamics. The critical cutting stress is shown to be governed by the antiphase boundary energy, while line tension effects promote edge‐preferred cutting.
Frédéric Houllé, Siwen Gao, Marc Fivel, Anxin Ma, Daria Smirnova, Sriram Anand, Arun Prakash, Julien Guénolé, Alexander Hartmaier, Erik Bitzek   +9 more
wiley   +1 more source

Extrusion‐Based Additive Manufacturing of Advanced Ceramics: Strengthening Mechanisms and Process Optimization Review

Advanced Engineering Materials, EarlyView.
This review comprehensively evaluates extrusion‐based additive manufacturing for advanced ceramics, detailing feedstock options and key process parameters. By critically addressing defect mechanisms like porosity and cracking, the work highlights optimization strategies through machine learning and advanced postprocessing.
Meisam Bakhtiari, Mohammad Hadi Sheikh‐Ansari, Avinash Borgaonkar, Mehran Dadkhah, Abdollah Saboori   +4 more
wiley   +1 more source

Reward-optimizing learning using stochastic release plasticity

Frontiers in Neural Circuits
Synaptic plasticity underlies adaptive learning in neural systems, offering a biologically plausible framework for reward-driven learning. However, a question remains: how can plasticity rules achieve robustness and effectiveness comparable to error ...
Yuhao Sun, Yuhao Sun, Wantong Liao, Wantong Liao, Jinhao Li, Jinhao Li, Xinche Zhang, Xinche Zhang, Guan Wang, Guan Wang, Zhiyuan Ma, Zhiyuan Ma, Zhiyuan Ma, Sen Song, Sen Song   +14 more
doaj   +1 more source

Interaction of plasticity and circuit organization during the acquisition of cerebellum-dependent motor learning

eLife, 2013
Motor learning occurs through interactions between the cerebellar circuit and cellular plasticity at different sites. Previous work has established plasticity in brain slices and suggested plausible sites of behavioral learning.
Yan Yang, Stephen G Lisberger
doaj   +1 more source

Stretching the Printability Metric in Direct‐Ink Writing with Highly Extensible Yield‐Stress Fluids

Advanced Functional Materials, EarlyView.
This study introduces “drawability” as a new metric for assessing printability in direct‐ink writing, focusing on gap‐spanning performance and speed robustness. By designing yield‐stress fluids with high extensibility, we demonstrate that extensional strain‐to‐break significantly enhances printability.
Chaimongkol Saengow, Samya Sen, Joaquin Yus, Eliza E. Lovrich, Amanda G. Hoika, Kelly M. Chang, Arielle A. Pfeil, Nellie Haug, Amy J. Wagoner Johnson, Randy H. Ewoldt   +9 more
wiley   +1 more source