AIMC Topic: Electrodes, Implanted

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Toward neuroprosthetic real-time communication from in silico to biological neuronal network via patterned optogenetic stimulation.

Scientific reports May 5, 2020
Restoration of the communication between brain circuitry is a crucial step in the recovery of brain damage induced by traumatic injuries or neurological insults. In this work we present a study of real-time unidirectional communication between a spik...
Equipment Design Microscopy, Fluorescence Light Neurons In Vitro Techniques Rats Models, Neurological Action Potentials Electrodes, Implanted Optogenetics Neurotransmitter Agents Synapsins Video Recording Immunohistochemistry Cerebral Cortex Electrophysiology Humans Neural Networks, Computer Cells, Cultured Brain Computer Simulation Animals
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Optimal path generation in scala tympani and path planning for robotic cochlear implant of perimodiolar electrode.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Mar 18, 2020
In this study, a new idea of the optimal path generation method was proposed and a path planning strategy for robotic cochlear implant of perimodiolar electrode was designed. The centerline of scala tympani channel was taken as the optimal implant pa...
Electrodes, Implanted Scala Tympani Robotics Cochlear Implantation Mechanical Phenomena X-Ray Microtomography Humans
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Accurate, Very Low Computational Complexity Spike Sorting Using Unsupervised Matched Subspace Learning.

IEEE transactions on biomedical circuits and systems Feb 4, 2020
This paper presents an adaptable dictionary-based feature extraction approach for spike sorting offering high accuracy and low computational complexity for implantable applications. It extracts and learns identifiable features from evolving subspaces...
Algorithms Models, Neurological Action Potentials Unsupervised Machine Learning Signal Processing, Computer-Assisted Biomedical Engineering Electrodes, Implanted
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Selective peripheral nerve recordings from nerve cuff electrodes using convolutional neural networks.

Journal of neural engineering Jan 31, 2020
OBJECTIVE: Recording and stimulating from the peripheral nervous system are becoming important components in a new generation of bioelectronics systems. Although neurostimulation has seen a history of successful chronic applications in humans, periph...
Neural Networks, Computer Animals Rats Action Potentials Peripheral Nerves Electrodes, Implanted Rats, Long-Evans
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Estimation of Bladder Pressure and Volume from the Neural Activity of Lumbosacral Dorsal Horn Using a Long-Short-Term-Memory-based Deep Neural Network.

Scientific reports Dec 2, 2019
In this paper, we propose a deep recurrent neural network (DRNN) for the estimation of bladder pressure and volume from neural activity recorded directly from spinal cord gray matter neurons. The model was based on the Long Short-Term Memory (LSTM) a...
Posterior Horn Cells Signal Processing, Computer-Assisted Electrophysiology Urinary Bladder Electrodes, Implanted Neural Networks, Computer Animals Male Rats, Wistar Action Potentials
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Unsupervised machine-learning classification of electrophysiologically active electrodes during human cognitive task performance.

Scientific reports Nov 22, 2019
Identification of active electrodes that record task-relevant neurophysiological activity is needed for clinical and industrial applications as well as for investigating brain functions. We developed an unsupervised, fully automated approach to class...
Biomedical Engineering Electrodes, Implanted Electrophysiological Phenomena Task Performance and Analysis Evoked Potentials Verbal Behavior Electrocorticography Electroencephalography Epilepsy Memory, Short-Term Datasets as Topic Humans Algorithms Brain Retrospective Studies Sensitivity and Specificity Cognition Unsupervised Machine Learning Brain Mapping
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Detection of mesial temporal lobe epileptiform discharges on intracranial electrodes using deep learning.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Nov 11, 2019
OBJECTIVE: Develop a high-performing algorithm to detect mesial temporal lobe (mTL) epileptiform discharges on intracranial electrode recordings.
Algorithms Female Adult Sensitivity and Specificity Male Deep Learning ROC Curve Electrocorticography Area Under Curve Electrodes, Implanted Temporal Lobe Foramen Ovale Humans Artifacts Datasets as Topic Reference Standards Epilepsy, Temporal Lobe
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What microsurgeon, orthopaedic and plastic surgeon should know about bionic hand.

Injury Oct 21, 2019
Hand loss is a catastrophic event that generates significant demands for orthopedics and prosthetics. In the course of history, prostheses evolved from passive esthetic replacements to sophisticated robotic hands. Yet, their actuation and particularl...
Touch Surgeons Bionics Quality of Life Electrodes, Implanted Robotics Humans Hand Software Artificial Limbs Prosthesis Design Amputation, Surgical Orthopedics
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Phasic dopamine release identification using convolutional neural network.

Computers in biology and medicine Sep 25, 2019
Dopamine has a major behavioral impact related to drug dependence, learning and memory functions, as well as pathologies such as schizophrenia and Parkinson's disease. Phasic release of dopamine can be measured in vivo with fast-scan cyclic voltammet...
Mice Rats Rats, Sprague-Dawley Electrochemical Techniques Databases, Factual Brain Dopamine Animals Humans Electrodes, Implanted Male Neural Networks, Computer
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Clustering Neural Patterns in Kernel Reinforcement Learning Assists Fast Brain Control in Brain-Machine Interfaces.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 9, 2019
Neuroprosthesis enables the brain control on the external devices purely using neural activity for paralyzed people. Supervised learning decoders recalibrate or re-fit the discrepancy between the desired target and decoder's output, where the correct...
Haplorhini Animals Movement Machine Learning Cluster Analysis Electrodes, Implanted Algorithms Reinforcement, Psychology Attention Neural Prostheses Computer Simulation Motor Cortex Brain-Computer Interfaces
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