Results 91 to 100 of about 139,691 (264)
Ferroelectric tunnel junction devices based on epitaxial undoped ferroelectric HfO2 films demonstrate stable switching endurance of over 106 switching cycles, low write voltages of ±3 V, 16 measured resistance states, and neuromorphic capability.
Markus Hellenbrand +13 more
wiley +1 more source
Non-sensory Influences on Auditory Learning and Plasticity. [PDF]
Caras ML +8 more
europepmc +1 more source
Advances in Sustainable and Wearable Textile Based Soft Robotics
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
wiley +1 more source
Novelty selectively permits learning-associated plasticity in ventral tegmental-hippocampal-prefrontal circuitry. [PDF]
Park AJ.
europepmc +1 more source
Implantable Ionic Memristors Based on Natural Polymer Heterojunctions
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee +6 more
wiley +1 more source
The Sensory-Cognitive Interplay: Insights into Neural Mechanisms and Circuits
Elisa Magosso, Mauro Ursino
doaj +1 more source
Adult Camk2a gene reinstatement restores the learning and plasticity deficits of Camk2a knockout mice. [PDF]
Rigter PMF +7 more
europepmc +1 more source
Versatile Pneumatic Twisted Coiled Actuators Enabled by Fiber‐Polymer Composite Fabrication
This work reports composite Pneumatic Twisted Coiled Actuators with embedded Kevlar fibers that convert pneumatic or hydraulic pressure into powerful linear motion. A novel precise manufacturing technique is used to systematically explore how design variables influence actuator mechanics and dynamics.
William J. Townsend +5 more
wiley +1 more source
Theoretical neuroscientists and machine learning researchers have proposed a variety of learning rules to enable artificial neural networks to effectively perform both supervised and unsupervised learning tasks. It is not always clear, however, how these
Toviah Moldwin +2 more
doaj +1 more source
Interactions between circuit architecture and plasticity in a closed-loop cerebellar system
Determining the sites and directions of plasticity underlying changes in neural activity and behavior is critical for understanding mechanisms of learning. Identifying such plasticity from neural recording data can be challenging due to feedback pathways
Hannah L Payne +2 more
doaj +1 more source

