In the era of the Internet and the Internet of Things, display technology has evolved significantly toward full-scene display and realistic display. Incorporating "intelligence" into displays is a crucial technical approach to meet the demands of this development. Traditional display technology relies on distributed hardware systems to achieve intelligent displays but encounters challenges stemming from the physical separation of sensing, processing, and light-emitting modules. The high energy consumption and data transformation delays limited the development of intelligence display, breaking the physical separation is crucial to overcoming the bottlenecks of intelligence display technology. Inspired by the biological neural system, neuromorphic technology with all-in-one features is widely employed across various fields. It proves effective in reducing system power consumption, facilitating frequent data transformation, and enabling cross-scene integration. Neuromorphic technology shows great potential to overcome display technology bottlenecks, realizing the full-scene display and realistic display with high efficiency and low power consumption. This review offers a comprehensive summary of recent advancements in the application of neuromorphic technology in displays, with a focus on interoperability. This work delves into its state-of-the-art designs and potential future developments aimed at revolutionizing display technology.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1002/adma.202401821 | DOI Listing |
Planta
January 2025
Institute of Plant Biology, National Taiwan University, Taipei, Taiwan.
PME12-mutated plants displayed altered stomatal characteristics and susceptibility to ABA-induced closure. Despite changes in PME activity, the mutant exhibited enhanced thermotolerance. These findings suggest a complex interplay between pectin methylesterification, ABA response, and stomatal function, contributing to plant adaptation to heat stress.
View Article and Find Full Text PDFPrehosp Emerg Care
January 2025
Midlands Air Ambulance Charity, Airbase Avenue, Neachley, Shifnal, TF11 8UR.
Objectives: Within paramedic education immersive simulation is widely used to teach technical skills, but its application to non-technical aspects of practice, such as research skills, is limited. This study aimed to explore immersive simulation as a tool to teach specific research skills to paramedic students in higher education to investigate its novel capacity beyond the more traditionally considered technical elements of practice.
Methods: A didactic pre-briefing was delivered to undergraduate paramedic students before they undertook an immersive simulation in which they were expected to assess, extricate, and treat a stroke patient, whilst also assessing whether he was suitable to be enrolled onto a clinical trial, provide information on this, and take consent.
Background: Changes in Amyloid-β (A) and hyperphosphorylated Tau (T) in the brain and cerebrospinal fluid (CSF) precedes AD symptoms, making the CSF proteome a potential avenue to understand disease pathophysiology and facilitate reliable diagnostics and therapies.
Method: We used the Somascan assay for measuring the protein levels of 7,029 analytes in CSF of 2,286 participants from four different cohorts. We employed a three-stage analytical approach (discovery, replication, and meta-analysis).
Alzheimers Dement
December 2024
Massachusetts Institute of Technology, Cambridge, MA, USA.
Background: Investigating age-related changes in MEG brain networks offers significant potential for comprehending aging trajectories and unveiling anomalous patterns associated with neurodegenerative disorders, such as Alzheimer's disease. In this study, we extended a deep learning model called Fully Hyperbolic Neural Network (FHNN) to embed MEG brain connectivity graphs into a Lorentz Hyperboloid model for hyperbolic space. Through these embeddings, we then explored the impact of aging on brain functional connectivity across multiple decades.
View Article and Find Full Text PDFElife
January 2025
Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behavior, Nijmegen, Netherlands.
Sleep cycles are defined as episodes of non-rapid eye movement (non-REM) sleep followed by an episode of REM sleep. Fractal or aperiodic neural activity is a well-established marker of arousal and sleep stages measured using electroencephalography. We introduce a new concept of 'fractal cycles' of sleep, defined as a time interval during which time series of fractal activity descend to their local minimum and ascend to the next local maximum.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!