Results 281 to 290 of about 2,093,786 (309)

Predicting Conductance Due to Upconing Using Neural Networks

Groundwater, 2005
AbstractArtificial 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 by variable pumping ...
Emery A. Coppola, Mary M. Poulton, Charles McLane, Ferenc Szidarovszky, Robin D. Magelky   +4 more
openaire   +3 more sources

Conductive Polymer Electrodes for Neural Prosthetic Applications

MRS Proceedings, 1985
ABSTRACTA variety of materials have been evaluated for use as electrodes for neural stimulation. In an effort to maximize the charge density on the electrode surface, faradaic stimulation electrodes have been investigated. Electrodes consisting of thin films of polypyrrole on Pt have been studied in phosphate buffered saline using cyclic voltammetry at
S. M. Erker, J. S. Foos
openaire   +2 more sources

Enhanced Surrogate Modelling of Heat Conduction Problems Using Physics-Informed Neural Network Framework

Social Science Research Network, 2023
S. Manavi, Thomas Becker, E. Fattahi
semanticscholar   +1 more source

Advances in conductive hydrogels for neural recording and stimulation

Biomaterials Science
Brain-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, Yuewu Zhao, Jine Wang, Renjun Pei   +3 more
openaire   +2 more sources

Ion conducting polymer microelectrodes for interfacing with neural networks

Journal of Neuroscience Methods, 2007
We have examined the stimulation and recording properties of conjugated polymer microelectrode arrays as interfaces with neural networks of dissociated cortical cells. In particular the stimulation properties were investigated as a means of supplying a neural network with information. The stimulation efficiency at low stimulation voltages was evaluated
Akiyoshi Shimada, Tobias Nyberg, Keiichi Torimitsu   +2 more
openaire   +3 more sources

Practical uncertainty quantification for space-dependent inverse heat conduction problem via ensemble physics-informed neural networks

International Communications in Heat and Mass Transfer, 2023
Xinchao Jiang, Xin Wang, Ziming Wen, Enying Li, Hu Wang   +4 more
semanticscholar   +1 more source

Estimating three synaptic conductances in a stochastic neural model

Journal of Computational Neuroscience, 2012
We present a method for the reconstruction of three stimulus-evoked time-varying synaptic input conductances from voltage recordings. Our approach is based on exploiting the stochastic nature of synaptic conductances and membrane voltage. Starting with the assumption that the variances of the conductances are known, we use a stochastic differential ...
Alla Borisyuk, Stephen E. Odom
openaire   +2 more sources

Bioelectrochemical control of neural cell development on conducting polymers

Biomaterials, 2010
Electrically conducting polymers hold promise for developing advanced neuroprostheses, bionic systems and neural repair devices. Among them, poly(3, 4-ethylenedioxythiophene) doped with polystyrene sulfonate (PEDOT:PSS) exhibits superior physicochemical properties but biocompatibility issues have limited its use.
Jorge E. Collazos-Castro, José L. Polo, Vanesa Padial-Cañete, Gabriel R. Hernández-Labrado, Concepción García-Rama   +4 more
openaire   +3 more sources

Spectral integrated neural networks (SINNs) for solving forward and inverse dynamic problems

Neural Networks
This study introduces an innovative neural network framework named spectral integrated neural networks (SINNs) to address both forward and inverse dynamic problems in three-dimensional space.
Lin Qiu, Fajie Wang, Wenzhen Qu, Yan Gu, Qing-Hua Qin   +4 more
semanticscholar   +1 more source

Interpenetrating Conducting Hydrogel Materials for Neural Interfacing Electrodes

Advanced Healthcare Materials, 2017
Conducting 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, Laura A. Poole-Warren, Aaron D. Gilmour, Penny J. Martens, Rylie A. Green, Rylie A. Green   +5 more
openaire   +3 more sources