Results 211 to 220 of about 68,442 (287)
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
Spiking Neural Networks (SNNs) sind eine spezielle Untergruppe von künstlichen neuronalen Netzen, die Informationen mittels diskreter Spike-Ereignisse verarbeiten. SNNs sind von besonderem Interesse aufgrund ihrer Energieeffizienz und ihrer Ähnlichkeiten zu biologischen neuronalen Netzen.Diese Arbeit hat zum Ziel, einen Überblick über das Gebiet der ...
openaire +1 more source
A stretchable 3D microelectrode array with microneedles (3D MN‐sMEA) enables stable, minimally destructive electrophysiological monitoring of 3D organoids. The wafer‐level stud‐bump bonding process facilitates high‐fidelity recordings of heart and cerebral organoids.
Eunyoung Jang +10 more
wiley +1 more source
Invertebrates are the classic neuroscience models and should make a comeback. Invertebrate organisms can be a more ethical and cost‐effective way to move bioelectronics research forward more rapidly. ABSTRACT The accelerating development of bioelectronic neural interfaces has brought increased attention to ethical considerations surrounding in vivo ...
Eric Daniel Głowacki
wiley +1 more source
Gel‐Amin for Improving Extracellular Recordings of Cardiomyocytes in a 3D Microphysiological System
This work combines a conductive collagen‐based hydrogel with a laser‐cut and assembly technique to fabricate microphysiological systems that improve extracellular recordings of cardiomyocytes in 3D on microelectrode arrays. The inclusion of choline acrylate into GelMA imparts a higher electrical conductivity and improves the signal‐to‐noise ratio of on‐
Dominic Pizzarella +4 more
wiley +1 more source
Balancing Energy Consumption and Detection Accuracy in Cardiovascular Disease Diagnosis: A Spiking Neural Network-Based Approach with ECG and PCG Signals. [PDF]
Ran G, Wang Y, Zhang H, Cheng J, Lai D.
europepmc +1 more source
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos +4 more
wiley +1 more source
Complex Spiking Neural Network Evaluated by Injury Resistance Under Stochastic Attacks. [PDF]
Guo L, Li C, Liu H, Song Y.
europepmc +1 more source
Analog Weight Update Rule in Ferroelectric Hafnia, Using picoJoule Programming Pulses
Resistive, ferroelectric synaptic weights based on BEOL‐compatible hafnia/zirconia nanolaminates are fabricated. Lateral downscaling the devices below 10 µm2 enables 20 ns programming with electrical pulses, dissipating ≤ 3 pJ. Experimental results show that final conductance state is set by pulse amplitude, and is largely independent of the initial ...
Alexandre Baigol +7 more
wiley +1 more source

