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Tunable Conductive Hydrogel Scaffolds for Neural Cell Differentiation
Advanced Healthcare Materials, 2022AbstractMultielectrode arrays would benefit from intimate engagement with neural cells, but typical arrays do not present a physical environment that mimics that of neural tissues. It is hypothesized that a porous, conductive hydrogel scaffold with appropriate mechanical and conductive properties could support neural cells in 3D, while tunable ...
Christina M. Tringides +5 more
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Aligned Conducting Polymer Nanotubes for Neural Prostheses
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018The long-term performance of neural microelectrodes relies on biocompatibility and sensitivity of the electrode-tissue interface. Current neural electrodes are limited by poor electrical performance including high initial impedance and low charge storage capacity.
Milad, Khorrami, Mohammad Reza, Abidian
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Conduction of neural impulses in diabetic neuropathy
Clinical Neurophysiology, 2003To measure the conduction velocity, absolute refractory period and duration of the action potential for individual afferents of the median nerve in diabetic patients and to examine correlations between measures and with temperature and compare this to data from normal subjects.The technique of percutaneous microneurography was used to record from ...
R, Mackel, E, Brink
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Predicting Conductance Due to Upconing Using Neural Networks
Groundwater, 2005Abstract Artificial neural networks (ANNs) were developed to accurately predict highly time‐variable specific conductance values in an unconfined coastal aquifer. Conductance values in the fresh water lens aquifer change in response to vertical displacements of the brackish zone and fresh water–salt water interface, which are caused ...
Emery A, Coppola +4 more
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An injectable high-conductive bimaterial scaffold for neural stimulation
Colloids and Surfaces B: Biointerfaces, 2020Neurological recovery is difficult due to limited axonal regeneration and the limitations of autograft therapeutics in repairing peripheral nerve defects. Alternatively, the implantable nerve guidance conduit represents a promising approach for the nerve regeneration of especially large injury gaps.
Yuting Wang +6 more
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Neural conduction time and steady-state evoked potentials
Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section, 1985Signal processing in neural networks will inevitably include delays due to the finite conduction velocity of the neurones and their interconnections. Diamond proposed a method for finding these delays in the case of (visual) steady-state responses. Alignment of response features, when represented in a time domain plot, would, allegedly, yield the delay.
Bijl, GK, Veringa, F
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Development of bioactive conducting polymers for neural interfaces
Expert Review of Medical Devices, 2010Bioelectrodes for neural recording and neurostimulation are an integral component of a number of neuroprosthetic devices, including the commercially available cochlear implant, and developmental devices, such as the bionic eye and brain-machine interfaces.
Laura, Poole-Warren +3 more
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Interpenetrating Conducting Hydrogel Materials for Neural Interfacing Electrodes
Advanced Healthcare Materials, 2017Conducting hydrogels (CHs) are an emerging technology in the field of medical electrodes and brain–machine interfaces. The greatest challenge to the fabrication of CH electrodes is the hybridization of dissimilar polymers (conductive polymer and hydrogel) to ensure the formation of interpenetrating polymer networks (IPN) required to achieve both soft ...
Josef, Goding +4 more
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Paradoxical Preservation of Neural Conduction by Lidocaine
Anesthesiology, 1982The interaction of glucose lack and local anesthetic on impulse conduction was investigated in rabbit vagus nerve. Glucose lack depressed the compound action potential 50 per cent in 47 +/- 7 min (+/- SD, n = 5) and extinguished it in 69 +/- 7 min. Lidocaine hydrochloride, 0.1 mmol/1 (0.0027 g/dl), delayed the onset of inexcitability caused by glucose ...
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Classification of conductance traces with recurrent neural networks
The Journal of Chemical Physics, 2018We present a new automated method for structural classification of the traces obtained in break junction experiments. Using recurrent neural networks trained on the traces of minimal cross-sectional area in molecular dynamics simulations, we successfully separate the traces into two classes: point contact or nanowire.
Kasper P. Lauritzen +4 more
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