Results 191 to 200 of about 124,073 (226)

Creating true and false memories from forgotten information in Drosophila. [PDF]

Nat Neurosci
Yang W, Zattera B, Pavão-Delgado M, Warnecke C, Schweizer JA, Ricciuti A, Çoban B, Felsenberg J.   +7 more
europepmc   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Memory in the Palm of Your Hand: Smartphone-based Methods for Measuring Memory in the Wild. [PDF]

J Cogn Neurosci
Goldfarb EV, Davachi L, Barense MD.
europepmc   +1 more source

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

Advanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar, Haider Abbas, Muhammad Rabeel, Honggyun Kim, Ghulam Dastgeer, Muhammad Nasim, Furqan Zahoor, Yawar Abbas, Waqas Ahmad, Deok‐kee Kim   +9 more
wiley   +1 more source

Cortisol suppression impairs retrieval of emotional memory and changes its neural correlates immediately and four days post-treatment. [PDF]

Neuropsychopharmacology
Antypa D, Vuilleumier P, Rimmele U.
europepmc   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source

Neural correlates of learning speed reveal developmental differences in memory. [PDF]

Dev Cogn Neurosci
Forest TA, Schlichting ML, Finn AS.
europepmc   +1 more source

Electrically Induced Phase Transition and Synaptic Functionality in MoTe2/Graphene Memristors

Advanced Functional Materials, EarlyView.
An electrically induced reversible 2H ↔ 1T′ phase transition is demonstrated in a vertical Au/Ti/MoTe2/graphene memristor with a laterally contacted graphene electrode. Resistive switching proceeds through a compositionally invariant amorphous/2H ↔ amorphous/1T′ transformation, in which a self‐formed amorphous MoTe2 interfacial region is proposed to ...
Chien‐Hua Wang, Mu‐Pai Lee, Jhen‐Dong Tsai, Liang‐Ying Hsieh, Jui‐Yuan Chen, Chun‐Wei Huang, Yen‐Fu Lin, Wen‐Wei Wu   +7 more
wiley   +1 more source

Remembering the "when": Hebbian memory models for the time of past events. [PDF]

PLoS Comput Biol
Brea J, Modirshanechi A, Iatropoulos G, Gerstner W.   +3 more
europepmc   +1 more source

Upcycling Keratin‐Based Textile Waste Into High‐Performance Hybrid Fibers Via Tuning the Interfacial Interactions

Advanced Functional Materials, EarlyView.
Keratin recovered from animal‐hair textile waste is fractionated and blended with cellulose to produce continuously spun hybrid fibers. Selecting the high‐molecular‐weight keratin fraction enables 30 wt.% keratin incorporation while maintaining high strength in dry and wet states.
Mian Zhai, Daniel Van Opdenbosch, Inge Schlapp‐Hackl, Teemu Välisalmi, Markus Linder, Michael Hummel, Wenwen Fang   +6 more
wiley   +1 more source