Modelling synaptic dysfunction in childhood dementia using human iPSC-derived cortical networks. [PDF]
Mazzachi P +19 more
europepmc +1 more source
Quasi‐digital memristor with self‐rectifying and synaptic functions in crossbar array architectures
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
Sparsification and decorrelation of granule cell activity in the dentate gyrus by noradrenaline. [PDF]
Glovaci I, Mihály A, Vervaeke K, Hu H.
europepmc +1 more source
Dietary and biomarker‐guided strategies as supportive measures in the fragile X syndrome
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
Orchestrating synaptic strength by neuroligin-confined nanoscale organization. [PDF]
Han Y, Dai X, Zhang B.
europepmc +1 more source
Research progress on the depth of anesthesia monitoring based on the electroencephalogram
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
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
Computing the effects of excitatory-inhibitory balance on neuronal input-output properties. [PDF]
Reyes AD.
europepmc +1 more source
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
Tension shapes memory: computational insights into neural plasticity. [PDF]
Lee KY, Saif MTA.
europepmc +1 more source

