Results 101 to 110 of about 179,166 (291)
Inertial Neural Networks with Unpredictable Oscillations
Mathematics, 2020 In this paper, inertial neural networks are under investigation, that is, the second order differential equations. The recently introduced new type of motions, unpredictable oscillations, are considered for the models.
Marat Akhmet +2 more
doaj +1 more source
The phase of ongoing EEG oscillations predicts visual perception [PDF]
, 2009 Oscillations are ubiquitous in electrical recordings of brain activity. While the amplitude of ongoing oscillatory activity is known to correlate with various aspects of perception, the influence of oscillatory phase on perception remains unknown.
Busch, Niko A. +2 more
core +4 more sources
Advanced Healthcare Materials, EarlyView.This work pioneers melt electrowriting (MEW) of polyethylene vinyl acetate (PEVA) to fabricate ultra‐compliant, high‐resolution scaffolds. By integrating microscale precision with soft tissue‐like biomechanics, PEVA overcomes stiffness‐driven limitations of conventional MEW polymers, establishing a mechanically biomimetic platform for soft tissue ...
Finn Snow +9 more
wiley +1 more source
Frontiers in Human Neuroscience, 2017 Oscillatory neural activity is considered a basis of signal transmission in brain networks. However, the causal role of neural oscillations in regulating cortico-cortical signal transmission has so far not been directly demonstrated.
Kristoffer D. Fehér +3 more
doaj +1 more source
A Neural Pattern Generator that Exhibits Frequency-Dependent In-Phase and Anti-Phase Oscillations [PDF]
, 1992 This article describes a. neural pattern generator based on a cooperative-competitive feedback neural network. The two-channel version of the generator supports both in-phase and anti-phase oscillations.
Cohen, Michael A. +2 more
core +1 more source
Advanced Healthcare Materials, EarlyView.ABSTRACT Magnetogenetic deep brain stimulation (MG‐DBS) represents a wireless neuromodulation that has demonstrated long‐lasting behavioral benefits in Parkinson's disease models. However, the circuit‐level mechanisms underlying these therapeutic effects have remained uncharacterized due to limitations of conventional neural interfaces.
Jakyoung Lee +10 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.Platform system to create biofabricated 3D spinal cord tissue models: Combining high resolution PCL fiber placement, a customized, hyaluronic acid‐based hydrogel, two cell types (spinal cord neurons and astrocytes) together with three distinct laminin isoforms allow the formation of functional cell–cell network interactions.
Nicoletta Murenu +12 more
wiley +1 more source
Likelihood-free inference of experimental Neutrino Oscillations using Neural Spline Flows
, 2020 In machine learning, likelihood-free inference refers to the task of performing an analysis driven by data instead of an analytical expression. We discuss the application of Neural Spline Flows, a neural density estimation algorithm, to the likelihood ...
Gaitan, Vicens +3 more
core +2 more sources
Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives
Advanced Materials, EarlyView.Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi +4 more
wiley +1 more source
, 2017 In this manuscript we analyze the collective behavior of mean-field limits of large-scale, spatially extended stochastic neuronal networks with delays.
Abbott +49 more
core +1 more source