keyword
MENU ▼
Read by QxMD icon Read
search

Neural interface

keyword
https://www.readbyqxmd.com/read/27917111/scale-invariant-disordered-nanotopography-promotes-hippocampal-neuron-development-and-maturation-with-involvement-of-mechanotransductive-pathways
#1
Carsten Schulte, Maddalena Ripamonti, Elisa Maffioli, Martino A Cappelluti, Simona Nonnis, Luca Puricelli, Jacopo Lamanna, Claudio Piazzoni, Alessandro Podestà, Cristina Lenardi, Gabriella Tedeschi, Antonio Malgaroli, Paolo Milani
The identification of biomaterials which promote neuronal maturation up to the generation of integrated neural circuits is fundamental for modern neuroscience. The development of neural circuits arises from complex maturative processes regulated by poorly understood signaling events, often guided by the extracellular matrix (ECM). Here we report that nanostructured zirconia surfaces, produced by supersonic cluster beam deposition of zirconia nanoparticles and characterized by ECM-like nanotopographical features, can direct the maturation of neural networks...
2016: Frontiers in Cellular Neuroscience
https://www.readbyqxmd.com/read/27900953/feedback-control-policies-employed-by-people-using-intracortical-brain-computer-interfaces
#2
Francis R Willett, Chethan Pandarinath, Beata Jarosiewicz, Brian A Murphy, William D Memberg, Christine H Blabe, Jad Saab, Benjamin L Walter, Jennifer A Sweet, Jonathan P Miller, Jaimie M Henderson, Krishna V Shenoy, John D Simeral, Leigh R Hochberg, Robert F Kirsch, A Bolu Ajiboye
OBJECTIVE: When using an intracortical BCI (iBCI), users modulate their neural population activity to move an effector towards a target, stop accurately, and correct for movement errors. We call the rules that govern this modulation a 'feedback control policy'. A better understanding of these policies may inform the design of higher-performing neural decoders. APPROACH: We studied how three participants in the BrainGate2 pilot clinical trial used an iBCI to control a cursor in a 2D target acquisition task...
November 30, 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/27900952/a-novel-deep-learning-approach-for-classification-of-eeg-motor-imagery-signals
#3
Yousef Rezaei Tabar, Ugur Halici
OBJECTIVE: Signal classification is an important issue in brain computer interface (BCI) systems. Deep learning approaches have been used successfully in many recent studies to learn features and classify different types of data. However, the number of studies that employ these approaches on BCI applications is very limited. In this study we aim to use deep learning methods to improve classification performance of EEG motor imagery signals. APPROACH: In this study we investigate convolutional neural networks (CNN) and stacked autoencoders (SAE) to classify EEG Motor Imagery signals...
November 30, 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/27898383/influence-of-anatomical-detail-and-tissue-conductivity-variations-in-simulations-of-multi-contact-nerve-cuff-recordings
#4
Purbasha Garai, Ryan G L Koh, Martin Schuettler, Thomas Stieglitz, Jose Zariffa
Accurate simulations of peripheral nerve recordings are needed to develop improved neuroprostheses. Previous models of peripheral nerves contained simplifications whose effects have not been investigated. We created a novel detailed finite element (FE) model of a peripheral nerve, and used it to carry out a sensitivity analysis of several model parameters. To construct the model, in vivo recordings were obtained in a rat sciatic nerve using an 8-channel nerve cuff electrode, after which the nerve was imaged using magnetic resonance imaging (MRI)...
November 24, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/27896311/interfacing-with-neural-activity-via-femtosecond-laser-stimulation-of-drug-encapsulating-liposomal-nanostructures
#5
Takashi Nakano, Sean M Mackay, Eng Wui Tan, Keshav M Dani, Jeff Wickens
External control over rapid and precise release of chemicals in the brain potentially provides a powerful interface with neural activity. Optical manipulation techniques, such as optogenetics and caged compounds, enable remote control of neural activity and behavior with fine spatiotemporal resolution. However, these methods are limited to chemicals that are naturally present in the brain or chemically suitable for caging. Here, we demonstrate the ability to interface with neural functioning via a wide range of neurochemicals released by stimulating loaded liposomal nanostructures with femtosecond lasers...
November 2016: ENeuro
https://www.readbyqxmd.com/read/27889011/limb-amputation-and-other-disability-desires-as-a-medical-condition
#6
REVIEW
Peter Brugger, Markus Christen, Lena Jellestad, Jürgen Hänggi
Some people have a profound dissatisfaction with what is considered an able-bodied state by most others. These individuals desire to be disabled, by conventional standards. In this Review, we integrate research findings about the desire for a major limb amputation or paralysis (xenomelia). Neuropsychological and neuroimaging explorations of xenomelia show functional and structural abnormalities in predominantly right hemisphere cortical circuits of higher-order bodily representation, including affective and sexual aspects of corporeal awareness...
December 2016: Lancet Psychiatry
https://www.readbyqxmd.com/read/27880768/real-time-control-of-an-articulatory-based-speech-synthesizer-for-brain-computer-interfaces
#7
Florent Bocquelet, Thomas Hueber, Laurent Girin, Christophe Savariaux, Blaise Yvert
Restoring natural speech in paralyzed and aphasic people could be achieved using a Brain-Computer Interface (BCI) controlling a speech synthesizer in real-time. To reach this goal, a prerequisite is to develop a speech synthesizer producing intelligible speech in real-time with a reasonable number of control parameters. We present here an articulatory-based speech synthesizer that can be controlled in real-time for future BCI applications. This synthesizer converts movements of the main speech articulators (tongue, jaw, velum, and lips) into intelligible speech...
November 2016: PLoS Computational Biology
https://www.readbyqxmd.com/read/27865751/feasibility-of-long-term-tibial-nerve-stimulation-using-a-multi-contact-and-wirelessly-powered-neurostimulation-system-implanted-in-rats
#8
Zainab Moazzam, Jason Paquette, Austin R Duke, Navid Khodaparast, Paul B Yoo
OBJECTIVES: Implant-driven tibial nerve stimulation (TNS) therapy is an effective technique for treating overactive bladder (OAB). However, the monopolar lead design in the currently available implantable devices pose long-term therapeutic challenges in terms of efficiently and selectively delivering electrical pulses to the target. Hence, the purpose of this study was to: (1) characterize the tibial nerve (TN) activation properties using a multi-contact implantable system and (2) evaluate the long-term stability of using such a neural interface in a pre-clinical model...
November 16, 2016: Urology
https://www.readbyqxmd.com/read/27857850/response-surface-and-neural-network-based-predictive-models-of-cutting-temperature-in-hard-turning
#9
Mozammel Mia, Nikhil R Dhar
The present study aimed to develop the predictive models of average tool-workpiece interface temperature in hard turning of AISI 1060 steels by coated carbide insert. The Response Surface Methodology (RSM) and Artificial Neural Network (ANN) were employed to predict the temperature in respect of cutting speed, feed rate and material hardness. The number and orientation of the experimental trials, conducted in both dry and high pressure coolant (HPC) environments, were planned using full factorial design. The temperature was measured by using the tool-work thermocouple...
November 2016: Journal of Advanced Research
https://www.readbyqxmd.com/read/27857680/spiking-neural-networks-based-on-oxram-synapses-for-real-time-unsupervised-spike-sorting
#10
Thilo Werner, Elisa Vianello, Olivier Bichler, Daniele Garbin, Daniel Cattaert, Blaise Yvert, Barbara De Salvo, Luca Perniola
In this paper, we present an alternative approach to perform spike sorting of complex brain signals based on spiking neural networks (SNN). The proposed architecture is suitable for hardware implementation by using resistive random access memory (RRAM) technology for the implementation of synapses whose low latency (<1μs) enables real-time spike sorting. This offers promising advantages to conventional spike sorting techniques for brain-computer interfaces (BCI) and neural prosthesis applications. Moreover, the ultra-low power consumption of the RRAM synapses of the spiking neural network (nW range) may enable the design of autonomous implantable devices for rehabilitation purposes...
2016: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/27853431/developing-dynamic-field-theory-architectures-for-embodied-cognitive-systems-with-cedar
#11
Oliver Lomp, Mathis Richter, Stephan K U Zibner, Gregor Schöner
Embodied artificial cognitive systems, such as autonomous robots or intelligent observers, connect cognitive processes to sensory and effector systems in real time. Prime candidates for such embodied intelligence are neurally inspired architectures. While components such as forward neural networks are well established, designing pervasively autonomous neural architectures remains a challenge. This includes the problem of tuning the parameters of such architectures so that they deliver specified functionality under variable environmental conditions and retain these functions as the architectures are expanded...
2016: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/27849542/learning-inverse-rig-mappings-by-nonlinear-regression
#12
Daniel Holden, Jun Saito, Taku Komura
We present a framework to design inverse rig-functions - functions that map low level representations of a character's pose such as joint positions or surface geometry to the representation used by animators called the animation rig. Animators design scenes using an animation rig, a framework widely adopted in animation production which allows animators to design character poses and geometry via intuitive parameters and interfaces. Yet most state-of-the-art computer animation techniques control characters through raw, low level representations such as joint angles, joint positions, or vertex coordinates...
November 11, 2016: IEEE Transactions on Visualization and Computer Graphics
https://www.readbyqxmd.com/read/27845676/a-bidirectional-neural-interface-ic-with-chopper-stabilized-bioadc-array-and-charge-balanced-stimulator
#13
Elliot Greenwald, Ernest So, Qihong Wang, Mohsen Mollazadeh, Christoph Maier, Ralph Etienne-Cummings, Gert Cauwenberghs, Nitish Thakor
We present a bidirectional neural interface with a 4-channel biopotential analog-to-digital converter (bioADC) and a 4-channel current-mode stimulator in 180 nm CMOS. The bioADC directly transduces microvolt biopotentials into a digital representation without a voltage-amplification stage. Each bioADC channel comprises a continuous-time first-order ∆Σ modulator with a chopper-stabilized OTA input and current feedback, followed by a second-order comb-filter decimator with programmable oversampling ratio. Each stimulator channel contains two independent digital-to-analog converters for anodic and cathodic current generation...
November 8, 2016: IEEE Transactions on Biomedical Circuits and Systems
https://www.readbyqxmd.com/read/27833537/forward-prediction-in-the-posterior-parietal-cortex-and-dynamic-brain-machine-interface
#14
He Cui
While remarkable progress has been made in brain-machine interfaces (BMIs) over the past two decades, it is still difficult to utilize neural signals to drive artificial actuators to produce predictive movements in response to dynamic stimuli. In contrast to naturalistic limb movements largely based on forward planning, brain-controlled neuroprosthetics mainly rely on feedback without prior trajectory formation. As an important sensorimotor interface integrating multisensory inputs and efference copy, the posterior parietal cortex (PPC) might play a proactive role in predictive motor control...
2016: Frontiers in Integrative Neuroscience
https://www.readbyqxmd.com/read/27830790/a-brain-spine-interface-alleviating-gait-deficits-after-spinal-cord-injury-in-primates
#15
Marco Capogrosso, Tomislav Milekovic, David Borton, Fabien Wagner, Eduardo Martin Moraud, Jean-Baptiste Mignardot, Nicolas Buse, Jerome Gandar, Quentin Barraud, David Xing, Elodie Rey, Simone Duis, Yang Jianzhong, Wai Kin D Ko, Qin Li, Peter Detemple, Tim Denison, Silvestro Micera, Erwan Bezard, Jocelyne Bloch, Grégoire Courtine
Spinal cord injury disrupts the communication between the brain and the spinal circuits that orchestrate movement. To bypass the lesion, brain-computer interfaces have directly linked cortical activity to electrical stimulation of muscles, and have thus restored grasping abilities after hand paralysis. Theoretically, this strategy could also restore control over leg muscle activity for walking. However, replicating the complex sequence of individual muscle activation patterns underlying natural and adaptive locomotor movements poses formidable conceptual and technological challenges...
November 9, 2016: Nature
https://www.readbyqxmd.com/read/27830789/spinal-cord-injury-neural-interfaces-take-another-step-forward
#16
COMMENT
Andrew Jackson
No abstract text is available yet for this article.
November 9, 2016: Nature
https://www.readbyqxmd.com/read/27829557/enhancing-surface-functionality-of-reduced-graphene-oxide-biosensors-by-oxygen-plasma-treatment-for-alzheimer-s-disease-diagnosis
#17
Myung-Sic Chae, Jinsik Kim, Dahye Jeong, YoungSoo Kim, Jee Hoon Roh, Sung Min Lee, Youhee Heo, Ji Yoon Kang, Jeong Hoon Lee, Dae Sung Yoon, Tae Geun Kim, Suk Tai Chang, Kyo Seon Hwang
We performed oxygen plasma treatment on reduced graphene oxide (rGO) to improve its surface reactivity with respect to biomolecular interactions. Oxygen-plasma-treated rGO surfaces were employed as reactive interfaces for the detection of amyloid-beta (Aβ) peptides, the pathological hallmarks of Alzheimer's disease (AD), as the target analytes. By measuring the changes in electrical characteristics and confirmation through topographic analysis, the oxygen-plasma-treated rGO sensors had enhanced surface functionality for better antibody immobilization and sensing performance, with a 3...
October 21, 2016: Biosensors & Bioelectronics
https://www.readbyqxmd.com/read/27819256/long-term-stability-of-intracortical-recordings-using-perforated-and-arrayed-parylene-sheath-electrodes
#18
Seth A Hara, Brian J Kim, Jonathan T W Kuo, Curtis D Lee, Ellis Meng, Victor Pikov
OBJECTIVE: Acquisition of reliable and robust neural recordings with intracortical neural probes is a persistent challenge in the field of neuroprosthetics. We developed a multielectrode array technology to address chronic intracortical recording reliability and present in vivo recording results. APPROACH: The 2 × 2 Parylene sheath electrode array (PSEA) was microfabricated and constructed from only Parylene C and platinum. The probe includes a novel three-dimensional sheath structure, perforations, and bioactive coatings that improve tissue integration and manage immune response...
December 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/27816702/neural-correlates-of-user-initiated-motor-success-and-failure-a-brain-computer-interface-perspective
#19
Boris Yazmir, Miriam Reiner
Any motor action is, by nature, potentially accompanied by human errors. In order to facilitate development of error-tailored Brain-Computer Interface (BCI) correction systems, we focused on internal, human-initiated errors, and investigated EEG correlates of user outcome successes and errors during a continuous 3D virtual tennis game against a computer player. We used a multisensory, 3D, highly immersive environment. Missing and repelling the tennis ball were considered, as 'error' (miss) and 'success' (repel)...
November 2, 2016: Neuroscience
https://www.readbyqxmd.com/read/27814958/expanding-the-language-network-direct-contributions-from-the-hippocampus
#20
Natalie V Covington, Melissa C Duff
New research suggests that the same hippocampal computations used in support of memory are also used for language processing, providing direct neurophysiological evidence of a shared neural mechanism for memory and language. This work expands classic memory and language models and represents a new opportunity for studying the memory-language interface.
December 2016: Trends in Cognitive Sciences
keyword
keyword
10173
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"