Results 111 to 120 of about 449,578 (382)

Proteomic Analysis of Dendritic Filopodia-Rich Fraction Isolated by Telencephalin and Vitronectin Interaction

open access: yesFrontiers in Synaptic Neuroscience, 2018
Dendritic filopodia are thin, long, and highly mobile protrusions functioning as spine precursors. By contrast with a wealth of knowledge on molecular profiles in spines, little is known about structural and functional proteins present in dendritic ...
Yutaka Furutani   +2 more
doaj   +1 more source

Synergies at the synapse [PDF]

open access: yesBritish Journal of Pharmacology, 2003
British Journal of Pharmacology (2003) 138, 1387–1388.
openaire   +3 more sources

Carbon Nanotube 3D Integrated Circuits: From Design to Applications

open access: yesAdvanced Functional Materials, EarlyView.
As Moore's law approaches its physical limits, carbon nanotube (CNT) 3D integrated circuits (ICs) emerge as a promising alternative due to the miniaturization, high mobility, and low power consumption. CNT 3D ICs in optoelectronics, memory, and monolithic ICs are reviewed while addressing challenges in fabrication, design, and integration.
Han‐Yang Liu   +3 more
wiley   +1 more source

An On-chip Trainable and Clock-less Spiking Neural Network with 1R Memristive Synapses

open access: yes, 2017
Spiking neural networks (SNNs) are being explored in an attempt to mimic brain's capability to learn and recognize at low power. Crossbar architecture with highly scalable Resistive RAM or RRAM array serving as synaptic weights and neuronal drivers in ...
Ganguly, Udayan, Shukla, Aditya
core   +1 more source

Targeting the Synapse in Alzheimer’s Disease

open access: yesFrontiers in Neuroscience, 2019
Dynamic gain and loss of synapses is fundamental to healthy brain function. While Alzheimer’s Disease (AD) treatment strategies have largely focussed on beta-amyloid and tau protein pathologies, the synapse itself may also be a critical endpoint to ...
J. Jackson   +6 more
semanticscholar   +1 more source

Strategies to Design and Optimize Artificial Antigen‐Presenting Cells for T Cell Expansion in Cancer Immunotherapy

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights recent advances in engineering artificial antigen‐presenting cells (aAPCs) as alternatives to dendritic cells for T cell expansion. Key design principles inspired by the immunological synapse are discussed, with emphasis on strategies for polyclonal and antigen‐specific T cell expansion.
Nguyen Thi Nguyen, Yu Seok Youn
wiley   +1 more source

A Novel Approach to Implementing Artificial Thalamic Neurons with Ferroelectric Transistors

open access: yesAdvanced Functional Materials, EarlyView.
Artificial neurons created using CMOS technology often require a large number of transistors and capacitors. This study introduces an artificial thalamic neuron that employs only five CMOS compatible ferroelectric transistors. The manufactured thalamic neuron demonstrates leaky integrate‐and‐fire‐or‐burst (LIFB) functionalities, featuring self ...
Andreas Grenmyr   +7 more
wiley   +1 more source

Interpreting high levels of unfolded Von Willebrand Factor in patients with the antiphospholipid syndrome

open access: yesFrontiers in Immunology
IntroductionUnfolded Von Willebrand Factor (VWF) is increased in thrombotic pathologies such as myocardial infarction. Unfolded VWF mediates the binding of platelets without the need for collagen.
Romy de Laat-Kremers   +9 more
doaj   +1 more source

Integration of Perovskite/Low‐Dimensional Material Heterostructures for Optoelectronics and Artificial Visual Systems

open access: yesAdvanced Functional Materials, EarlyView.
Heterojunctions combining halide perovskites with low‐dimensional materials enhance optoelectronic devices by enabling precise charge control and improving efficiency, stability, and speed. These synergies advance flexible electronics, wearable sensors, and neuromorphic computing, mimicking biological vision for real‐time image analysis and intelligent
Yu‐Jin Du   +11 more
wiley   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone   +11 more
wiley   +1 more source

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