Results 91 to 100 of about 20,066 (272)
Spike-Timing Dependent Plasticity in Unipolar Silicon Oxide RRAM Devices
Resistance switching, or Resistive RAM (RRAM) devices show considerable potential for application in hardware spiking neural networks (neuro-inspired computing) by mimicking some of the behavior of biological synapses, and hence enabling non-von Neumann ...
Konstantin Zarudnyi +5 more
doaj +1 more source
SiOx-based resistive switching memory integrated in nanopillar structure fabricated by nanosphere lithography [PDF]
textA highly compact, one diode-one resistor (1D-1R) SiOx-based resistive switching memory device with nano-pillar architecture has been achieved for the first time using nano-sphere lithography. The average nano-pillar height and diameter are 1.3 μm and
Ji, Li, active 21st century
core
ABSTRACT This special issue marking the University of Bath's 60th anniversary offers an opportunity to reflect on nearly a decade of research into the evolution of gene regulatory networks (GRNs) from members of the lab and elsewhere. Our goal is to understand how GRNs rewire and how new transcription factor (TF) functions evolve. Using an experimental
Tiffany B. Taylor, Alan M. Rice
wiley +1 more source
An on‐demand ultra‐reconfigurable intelligent vision system with hierarchical reconfigurability from device to system levels is demonstrated. Through co‐design of a multi‐paradigm device, reconfigurable circuits, and adaptive system architecture/algorithms, the system enables seamless switching among spiking, non‐spiking, neuromorphic imaging (NI), and
Biyi Jiang +7 more
wiley +1 more source
Design of Power- and Variability-Aware Nonvolatile RRAM Cell Using Memristor as a Memory Element
A 3 CNFETs and 2 memristors-based half-select disturbance free 3T2R resistive RAM (RRAM) cell is proposed in this paper. While the two memristors act as the nonvolatile memory elements, CNFETs are employed as high-performance switches.
Soumitra Pal +3 more
doaj +1 more source
SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao +11 more
wiley +1 more source
Three-dimensional perovskite nanowire array-based ultrafast resistive RAM with ultralong data retention. [PDF]
Zhang Y +11 more
europepmc +1 more source
Rapid Proteome‐Wide Discovery of Protein–Protein Interactions With ppIRIS
ppIRIS is a lightweight deep learning framework for proteome‐wide protein–protein interaction prediction directly from sequence. By fusing evolutionary and structural embeddings with a regularized Siamese architecture, ppIRIS achieves state‐of‐the‐art accuracy across species, enables minute‐scale screening, and reveals biologically validated bacterial ...
Luiz Felipe Piochi +4 more
wiley +1 more source
The 3K‐AP system forms infinite supramolecular fibrils that undergo controlled degradation into shorter fragments upon enzymatic hydrolysis. Multitechnique imaging reveals a stepwise bacteriolytic mechanism involving bacterial entrapment, disassembly into lethal constructs, and associated extracellular vesicle release, highlighting the dynamic ...
Sohini Chakraborty +21 more
wiley +1 more source
Learning is crucial for the brain’s ability to adapt to changing conditions. We suggest a collection of novel neuromorphic construction circuits, adjustable synapse circuits, and CMOS Spike Based Driven Synaptic Plasticity (CSBDSP) erudition algorithm ...
Joshika Sharma +2 more
doaj +1 more source

