Results 171 to 180 of about 1,581,096 (371)
Hardware Implementation of On‐Chip Hebbian Learning Through Integrated Neuromorphic Architecture
This work presents a neuromorphic hardware platform that integrates presynaptic transistors, threshold switching neurons, and adaptive feedback synapses. The architecture enables on‐chip Hebbian learning through correlation‐based weight updates without external training circuits.
Seonkwon Kim+6 more
wiley +1 more source
The Conversion of Tryptophan to Indoleacetic Acid by the Sap of Immature Kernels of Rice Plants
Yutaka Murakami, Takeshi Hayashi
openalex +2 more sources
Volterra’s integral equation of the second kind, with discontinuous kernel [PDF]
Griffith C. Evans
openalex +1 more source
Convolution transforms with complex kernels [PDF]
I. I. Hirschman, D. V. Widder
openalex +1 more source
Functionalized Antifouling Polymer Brushes for Biospecific Surfaces
Modern biosensors offer high sensitivity but often struggle with long‐term stability and selectivity for specific targets. Antifouling polymer brushes help enhance both stability and selectivity. In this review, we compare recent antifouling coatings, their design parameters, and how they are integrated with biorecognition elements for improved ...
Erik J. Postma+4 more
wiley +1 more source
Photoactive Monolayer MoS2 for Spiking Neural Networks Enabled Machine Vision Applications
Molybdenum disulfide (MoS2) optoelectronic devices are implemented as Leaky Integrate‐and‐Fire (LIF) neurons in spiking neural networks (SNNs), where light‐induced photocurrent dynamics represent potentiation (τd) and depression (τd), emulating neuronal membrane potential.
Thiha Aung+5 more
wiley +1 more source
Behaviour of Phosphorus Compounds during the Ripening in Rice Kernel
Reizo Aimi, Shoshin KONNO
openalex +2 more sources
A note on the mean value of the Poisson kernel [PDF]
Andy Galbraith, J. W. Green
openalex +1 more source
Advanced Time Series Data Processing Using Various Memristor‐Integrated Devices
Memristor‐based temporal kernels (TKs) offer compact, energy‐efficient solutions for real‐time time‐series processing in edge devices. This perspective outlines key TK architectures, compares them with conventional reservoir computing, and highlights their application in tasks such as health monitoring, authentication, and anomaly detection ...
Sung Keun Shim+9 more
wiley +1 more source