Results 191 to 200 of about 3,038,976 (302)

Visual-manual response selection produces dual-task interference in auditory-verbal memory encoding. [PDF]

Psychol Res
Hensen S, Koch I, Hirsch P.
europepmc   +1 more source

Coherent Control of Nitrogen Nuclear Spins via the VB−${\rm V}_B^-$‐Center in Hexagonal Boron Nitride

Advanced Functional Materials, EarlyView.
This study demonstrates coherent control of 15N nuclear spins coupled to VB−${\text{V}}_{\text{B}}^{-}$ centers in isotope‐enriched hexagonal boron nitride. Selective addressing via spin‐state mixing enables Rabi driving, quantum gates, and coherence times exceeding 10 μs$\umu{\rm s}$.
Adalbert Tibiássy, Charlie J. Patrickson, Thomas Poirier, James H. Edgar, Bruno Lopez‐Rodriguez, Viktor Ivády, Isaac J. Luxmoore   +6 more
wiley   +1 more source

Digital Actuation Control of Soft Robotic Origami With Self‐Folding Liquid Crystal Elastomer Hinges

Advanced Functional Materials, EarlyView.
Self‐folding soft‐rigid hybrid robotic origami is enabled by liquid crystal elastomer actuators with embedded Joule heating and closed‐loop digital control. Digitally addressable hinges provide reversible and programmable transitions between distinct folded states while maintaining actuation performance at high cycle counts (over 1500).
David C. Bershadsky, Tuo Zhao, Glaucio H. Paulino, Emily C. Davidson   +3 more
wiley   +1 more source

PKMζ-KIBRA interactions, molecular turnover, and memory. [PDF]

Mol Brain
Hsieh C, Cano DA, Tsokas P, Cottrell JE, Fenton AA, Shouval H, Sacktor TC.   +6 more
europepmc   +1 more source

Conductance‐Dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing

Advanced Functional Materials, EarlyView.
A nanoscale SrTiO3 memristor is shown to exhibit dynamic synaptic behavior through the interaction of local electrical and global optical signals. Its photoresponse depends quantitatively on the conductance state, which evolves and decays over tunable timescales, enabling ultralow‐power, biorealistic learning mechanisms for advanced in‐memory and ...
Christoph Weilenmann, Hanglin He, Marko Mladenović, Till Zellweger, Kevin Portner, Klemens Bauer, Guillaume Bellec, Mathieu Luisier, Alexandros Emboras   +8 more
wiley   +1 more source

Visual memory. [PDF]

Atten Percept Psychophys
Woodman GF, Polyn SM.
europepmc   +1 more source

Trap‐Assisted Transport and Neuromorphic Plasticity in Lead‐Free 2D Perovskites PEA2SnI4

Advanced Functional Materials, EarlyView.
An artificial retina built from lead‐free layered perovskite (PEA)2SnI4 converts light input into a persistent photocurrent and sums successive flashes over time. Micro/nanocrystals integrated on electrodes act as synapse‐like pixels that perform temporal integration directly in hardware. This in‐sensor preprocessing merges detection and computation on
Ofelia Durante, Valeria Demontis, Karl Jonas Riisnaes, Lam Hoi Tung, Sebastiano De Stefano, Daniela Marongiu, Adolfo Mazzotti, Aditya Bhardwaj, Francesco Mattana, Elisa Pili, Selene Matta, Federico Paolucci, Michele Saba, Andrea Mura, Giovanni Bongiovanni, Monica F Craciun, Saverio Russo, Antonio Di Bartolomeo   +17 more
wiley   +1 more source

Repeated extrinsic rewards following retrieval practice facilitate later memory. [PDF]

Psychon Bull Rev
Smith DE, Smith AM, Buras HR, Long NM.
europepmc   +1 more source

Mapping Nanoscale Buckling in Atomically Thin Cr2Ge2Te6

Advanced Functional Materials, EarlyView.
Atomic‐resolution STEM is used to resolve nanoscale buckling in monolayer Cr2Ge2Te₆. A noise‐robust image analysis reconstructs three‐dimensional lattice distortions from single plan‐view images, revealing pronounced defect‐driven nm‐scale out‐of‐plane buckling.
Amy Carl, Nicholas Clark, David G. Hopkinson, Matthew Hamer, Matthew Watson, Laxman Nagireddy, James E. Nunn, Alexei Barinov, Yichao Zou, William Thornley, Casey Cheung, Wendong Wang, Sam Sullivan‐Allsop, Xiao Li, Astrid Weston, Eli G. Castanon, Andrey V Kretinin, Cephise Cacho, Neil R. Wilson, Sarah J. Haigh, Roman Gorbachev   +20 more
wiley   +1 more source

Adaptive Knowledge Tracing with Dynamic Memory and Reinforcement Learning. [PDF]

Sensors (Basel)
Li L, Duan Z, Zhou Z, Liu L.
europepmc   +1 more source