Results 181 to 190 of about 195,623 (300)

Modelling synaptic dysfunction in childhood dementia using human iPSC-derived cortical networks. [PDF]

open access: yesNat Commun
Mazzachi P   +19 more
europepmc   +1 more source

Quasi‐digital memristor with self‐rectifying and synaptic functions in crossbar array architectures

open access: yesFlexMat, EarlyView.
The text should be different from the abstract text. A self‐rectifying quasi‐digital memristor (QDM) featuring a well‐defined p‐AgI/n‐PbI2 heterojunction is developed. It monolithically integrate diode‐like rectification, digital switching, and analog plasticity.
Tianyu Liu   +11 more
wiley   +1 more source

Dietary and biomarker‐guided strategies as supportive measures in the fragile X syndrome

open access: yesFood Biomacromolecules, EarlyView.
Abstract The fragile X syndrome (FXS) is an inherited neurodevelopmental disorder that primarily affects males, often resulting in an IQ below 55, while about two‐thirds of females also experience intellectual disability. Physical features may include an elongated face, prominent ears, finger joint laxity, and enlarged testes in males.
Jailan E. El Halawani, Reem R. AlOlaby
wiley   +1 more source

Research progress on the depth of anesthesia monitoring based on the electroencephalogram

open access: yesIbrain, Volume 11, Issue 1, Page 32-43, Spring 2025.
Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley   +1 more source

Gradual volatile memristor–based artificial neurons with high uniformity for neuromorphic computing

open access: yesInfoScience, EarlyView.
Schematic of leaky integrate‐and‐fire artificial neurons for MNIST image classification. Abstract Artificial neurons are pivotal for neuromorphic hardware, but the development of compact and uniform devices remains challenging. Conventional volatile memristors suffer from abrupt switching, which hinders spatiotemporal consistency.
Pengtao Li   +12 more
wiley   +1 more source

Lead‐free inorganic halide perovskite‐based synaptic memory for next generation neuromorphic computing

open access: yesInfoMat, EarlyView.
Lead‐free inorganic halide perovskites enable resistive switching synaptic devices capable of mimicking biological learning and multimodal information processing, offering a promising platform for next‐generation neuromorphic computing and artificial intelligence hardware. Abstract Inorganic halide perovskites (IHPs) have emerged as promising materials
Subhasish Chanda   +7 more
wiley   +1 more source

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