Results 21 to 30 of about 126,666 (241)
Polysaccharide Layer-by-Layer Coating for Polyimide-Based Neural Interfaces
Micromachines, 2022 Implantable flexible neural interfaces (IfNIs) are capable of directly modulating signals of the central and peripheral nervous system by stimulating or recording the action potential.
Eugenio Redolfi Riva +2 more
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Frontiers in Neuroscience, 2021 The use of composite biomaterials as innovative bio-friendly neuronal interfaces has been poorly developed so far. Smart strategies to target neuro-pathologies are currently exploiting the mixed and complementary characteristics of composite materials to
Matteo Moschetta +10 more
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In Vivo Neural Interfaces—From Small- to Large-Scale Recording
Frontiers in Nanotechnology, 2022 Brain functions arise from the coordinated activation of neuronal assemblies distributed across multiple brain regions. The electrical potential from the neuron captured by the electrode can be processed to extract brain information.
Bingjie Zhang +4 more
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Nanomaterials for Neural Interfaces [PDF]
Advanced Materials, 2009 AbstractThis review focuses on the application of nanomaterials for neural interfacing. The junction between nanotechnology and neural tissues can be particularly worthy of scientific attention for several reasons: (i) Neural cells are electroactive, and the electronic properties of nanostructures can be tailored to match the charge transport ...
NICHOLAS A. KOTOV +14 more
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High-Density, Actively Multiplexed µECoG Array on Reinforced Silicone Substrate
Frontiers in Nanotechnology, 2022 Simultaneous interrogation of electrical signals from wide areas of the brain is vital for neuroscience research and can aid in understanding the mechanisms of brain function and treatments for neurological disorders.
Iakov Rachinskiy +11 more
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Improving Generalization Based on l1-Norm Regularization for EEG-Based Motor Imagery Classification
Frontiers in Neuroscience, 2018 Multichannel electroencephalography (EEG) is widely used in typical brain-computer interface (BCI) systems. In general, a number of parameters are essential for a EEG classification algorithm due to redundant features involved in EEG signals.
Yuwei Zhao +14 more
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Frontiers in Cell and Developmental BiologyBackgroundGlioma, the most prevalent primary intracranial tumor, is characterized by aggressive proliferation and formidable treatment challenges. The N6-methyladenosine (m6A) demethylase, Fat mass and obesity-associated protein (FTO), is a critical ...
Yong Zhai +6 more
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A Low-Power Opamp-Less Second-Order Delta-Sigma Modulator for Bioelectrical Signals in 0.18 µm CMOS
Sensors, 2021 This article reports on a compact and low-power CMOS readout circuit for bioelectrical signals based on a second-order delta-sigma modulator. The converter uses a voltage-controlled, oscillator-based quantizer, achieving second-order noise shaping with a
Fernando Cardes +3 more
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Frontiers in Neuroscience, 2021 Sieve electrodes stand poised to deliver the selectivity required for driving advanced prosthetics but are considered inherently invasive and lack the stability required for a chronic solution.
Augusto X. T. Millevolte +16 more
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Frontiers in Neuroscience, 2017 Implantable neural interfaces for central nervous system research have been designed with wire, polymer, or micromachining technologies over the past 70 years. Research on biocompatible materials, ideal probe shapes, and insertion methods has resulted in
Katarzyna M. Szostak +3 more
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