Results 41 to 50 of about 2,691 (123)
Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation
This study presents a scalable all‐electrical method for precise neuronal‐circuit reconfiguration based on high‐density microelectrode arrays. By employing biologically inspired plasticity rules, targeted connectivity changes were successfully induced and quantified across diverse neuronal preparations.
Sreedhar S. Kumar +10 more
wiley +1 more source
Sub‐Terahertz Memristor Switches Using MoS2 by Liquid–Liquid Interface Assembly
This work introduces application‐ready sub‐terahertz memristor switches fabricated from electrochemically exfoliated MoS2 nanosheets assembled at a liquid–liquid interface. The devices exhibit robust unipolar resistive switching, low insertion loss, and high isolation across 10–110 GHz.
Tomás Mingates +15 more
wiley +1 more source
We investigated a special electrical phenomenon, known as antisymmetric magnetoresistance with four distinct resistance states, in 2D Fe3GaTe2/Pt devices at room temperature. By designing devices with two separated magnetic nanoflakes, we confirmed that the effect originates from spin–momentum locking rather than magnetic domain walls or interface ...
Yunwen Zhu +10 more
wiley +1 more source
Etching technique of high aspect ratio silicon trenches based on CMOS-MEMS process
Etching technique of deep silicon trenches with high aspect ratio is critical in improving integration and accuracy of Micro-Electro-Mechanical Systems(MEMS)sensor array and reducing the cost of it.
Zhang Haihua, Lv Yufei, Lu Zhongxuan
doaj +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
This study implements the metal-oxide-semiconductor (MOS) type gas sensor using the TSMC 0.35 μm 2P4M process. The gas concentration is detected based on the resistance change measured by the proposed sensor.
Ya-Chu Lee +3 more
doaj +1 more source
Cavity Microelectrode Arrays for Electrical Recordings From Neurons
Microelectrode arrays (MEAs) are used to study electrophysiological activity. However, their signals are small with high noise. By adding a 100‐nanometer‐high cavity above the electrode, which reduces impedance without affecting resolution, we improve signal quality.
Johannes Lewen +2 more
wiley +1 more source
Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh +3 more
wiley +1 more source
Neuromorphic Denoising with Fully Analog Memristive In‐Memory Computing
This article borrows the concepts of episodic memory in human brains to experimentally implement a memristor‐based neuromorphic denoising process. A homogeneous memristor processing unit is experimentally demonstrated for both temporal storage and neural network computation, imitating the synapses in the human brain.
Daijing Shi +5 more
wiley +1 more source
Study of the communication distance of a MEMS Pressure Sensor Integrated in a RFID Passive Tag
The performance of a MEMS (Micro Electro-Mechanical Systems) Sensor in a RFID system has been calculated, simulated and analyzed. It documents the viability - from the power consumption point of view - of integrating a MEMS sensor in a passive tag ...
FERNANDEZ, I. +5 more
doaj +1 more source

