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Conductivity estimation by neural network
IEEE Antennas and Propagation Society International Symposium. 1995 Digest, 2002Presents a technique for detecting conductivity anomalies in sediments, e.g., a buried object in sedimentary layers under sea water, by using the neural network approach. The electric field values are used as the inputs to the neural network and the associated conductivities are treated as the targets.
W.L. Ko, R. Mittra
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Imaging of neural conduction block by neuromagnetic recording
Clinical Neurophysiology, 2002For the clinical application of neuromagnetic recordings in neural conduction block, the patterns of magnetic fields in the region should be clarified. Using an experimental in vitro model, the spatiotemporal course of the neuromagnetic fields at the site of complete conduction block was examined. Additionally, the magnetic compound action fields (CAFs)
Yuko, Fukuoka +5 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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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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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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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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Advances in conductive hydrogels for neural recording and stimulation
Biomaterials ScienceBrain-computer interface (BCI) allows the human or animal brain to directly interact with the external environment through the neural interfaces, thus playing the role of monitoring, protecting, improving/restoring, enhancing, and replacing the human brain or body.
Hewan Dawit +3 more
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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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A Wavelet Neural Network Based Prediction for Conductivity of Seawater
2018 IEEE International Conference on Information and Automation (ICIA), 2018In order to get the conductivity of seawater in advance to give help to the research on communication technology in ocean, this paper adopts a wavelet neural network based method to establish a prediction model. The input variables of the prediction model are the seawater environmental factors influencing conductivity, which include temperature ...
Feiyan Qin +4 more
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