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For the first time, a highly sensitive electrochemical biosensor based on SiO2‐based hairy particles with a grafted PDMAEMA polymer brush containing a quantifiable and large amount of immobilized Laccase is reported. The fabricated biosensor exhibits a sensitivity of 0.14 A·m⁻¹, a limit of detection (LOD) of 0.1 µm, and a detection range of 0.3–750 µm,
Pavel Milkin +7 more
wiley +1 more source
Zinc(II) coordination complexes with tunable aryloxy‐imine ligands exhibit controllable supramolecular self‐assembly into hierarchical fibrous structures. Coordination‐driven stacking, not π–π interactions, enables gelation, dynamic assembly/disassembly, and enhanced nanomechanical properties.
Merlin R. Stühler +10 more
wiley +1 more source
The dielectric properties of clays are studied on the level of individual monolayers and functional double stacks. The material breakdown characteristics and charge storage performance are analyzed. For illustration, a defined charge pattern representing a cuneiform character is produced, written into a microscopic clay tile, referencing the origins of
Sebastian Gödrich +6 more
wiley +1 more source
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Local field potentials for BCI control
2020The gold standard in brain-computer interface (BCI) modalities is multi single-unit recordings in the primary motor cortex. It yields the fastest and most elegant control (i.e., most degrees of freedom and bitrate). Unfortunately, single-unit electrodes are prone to encapsulation, which limit their single-unit recording life.
Dustin A, Heldman, Daniel W, Moran
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Local Field Potentials and ECoG
2020The ability to record human neural activity in the form of field potentials from deep brain leads or surface brain electrodes has given us immense insight into the pathophysiology of movement disorders. These recordings have shed light on the oscillatory nature of neural network and its role in normal brain physiology as well as in disease.
Doris D. Wang +3 more
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Power Demodulation of Local Field Potential Recordings
2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006Local field potentials (LFPs) are used to monitor the activity of large groups of neurons with macroelectrodes. Historically traditional linear statistical analysis techniques based on second order moments have been used to analyze these signals. We describe a new method based on power demodulation for estimating the instantaneous firing rate that is ...
Sean Pearson, James McNames
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Resolving local minima problem of potential field
Proceedings of the 9th ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications in Industry, 2010This paper proposes a crowd simulation model based on the potential field. First, the moving paths of pedestrians in the crowd are planned by solving the Harmonic Equation. Traditional Harmonic Equation solver suffers from the local optimum problem; as such we introduce a "virtual wall" to overcome it.
Yan-Ping Zhang +3 more
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Visual receptive fields of local intracortical potentials
Journal of Neuroscience Methods, 1988We have developed a method to define a spatial-temporal receptive field (RF) for local, intracortically recorded field potentials in the visual cortex. In analogy to the classic RF concept, a relation between stimulus position and a single recording location is evaluated.
H, Lohmann, R, Eckhorn, H J, Reitboeck
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Efficient temporal decomposition of local field potentials
2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011Local field potentials (LFPs) arise from dendritic currents that are summed by the brain tissue's impedance. By assuming that the rhythms existing in the LFPs result from the coordinated neural activity of sparse and transient neural assemblies transformed by the neural tissue, we propose to recover these neural assemblies sources using an independent ...
Austin J. Brockmeier +3 more
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Measuring fundamental frequencies in local field potentials
Journal of Neuroscience Methods, 2004Neural processes display rhythmic oscillations in local field potentials; identification of their characteristic frequencies is complicated due to their highly non-stationary nature. A simple technique, combining Fourier transforms and correlation coefficients yields unambiguous determinations of the frequencies without a priori filtering.
B, Masimore, J, Kakalios, A D, Redish
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