keyword
MENU ▼
Read by QxMD icon Read
search

Neural interface

keyword
https://www.readbyqxmd.com/read/28328511/wireless-power-transfer-strategies-for-implantable-bioelectronics-methodological-review
#1
Kush Agarwal, Rangarajan Jegadeesan, Yong-Xin Guo, Nitish V Thakor
Neural implants have emerged over the last decade as highly effective solutions for the treatment of dysfunctions and disorders of the nervous system. These implants establish a direct, often bidirectional, interface to the nervous system, both sensing neural signals and providing therapeutic treatments. As a result of the technological progress and successful clinical demonstrations, completely implantable solutions have become a reality and are now commercially available for the treatment of various functional disorders...
March 16, 2017: IEEE Reviews in Biomedical Engineering
https://www.readbyqxmd.com/read/28324757/perceptual-category-learning-and-visual-processing-an-exercise-in-computational-cognitive-neuroscience
#2
George Cantwell, Maximilian Riesenhuber, Jessica L Roeder, F Gregory Ashby
The field of computational cognitive neuroscience (CCN) builds and tests neurobiologically detailed computational models that account for both behavioral and neuroscience data. This article leverages a key advantage of CCN-namely, that it should be possible to interface different CCN models in a plug-and-play fashion-to produce a new and biologically detailed model of perceptual category learning. The new model was created from two existing CCN models: the HMAX model of visual object processing and the COVIS model of category learning...
March 6, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28322213/chronic-monitoring-of-lower-urinary-tract-activity-via-a-sacral-dorsal-root-ganglia-interface
#3
Abeer Khurram, Shani Ross, Zachariah Sperry, Aileen Ouyang, Christopher Stephan, Ahmad Jiman, Tim M Bruns
OBJECTIVE: Our goal is to develop an interface that integrates chronic monitoring of lower urinary tract (LUT) activity with stimulation of peripheral pathways. APPROACH: Penetrating microelectrodes were implanted in sacral dorsal root ganglia (DRG) of adult male felines. Peripheral electrodes were placed on or in the pudendal nerve, bladder neck and near the external urethral sphincter. Supra-pubic bladder catheters were implanted for saline infusion and pressure monitoring...
March 21, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28320670/bci-use-and-its-relation-to-adaptation-in-cortical-networks
#4
Kaitlyn Casimo, Kurt E Weaver, Jeremiah Wander, Jeffrey G Ojemann
Brain-computer interfaces (BCIs) carry great potential in the treatment of motor impairments. As a new motor output, BCIs interface with the native motor system, but acquisition of BCI proficiency requires a degree of learning to integrate this new function. In this review, we discuss how BCI designs often take advantage of the brain's motor system infrastructure as sources of command signals. We highlight a growing body of literature examining how this approach leads to changes in activity across cortex, including beyond motor regions, as a result of learning the new skill of BCI control...
March 13, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28320224/identification-of-common-neural-circuit-disruptions-in-cognitive-control-across-psychiatric-disorders
#5
Lisa M McTeague, Julia Huemer, David M Carreon, Ying Jiang, Simon B Eickhoff, Amit Etkin
OBJECTIVE: Cognitive deficits are a common feature of psychiatric disorders. The authors investigated the nature of disruptions in neural circuitry underlying cognitive control capacities across psychiatric disorders through a transdiagnostic neuroimaging meta-analysis. METHOD: A PubMed search was conducted for whole-brain functional neuroimaging articles published through June 2015 that compared activation in patients with axis I disorders and matched healthy control participants during cognitive control tasks...
March 21, 2017: American Journal of Psychiatry
https://www.readbyqxmd.com/read/28296415/proton-transfer-mechanisms-at-the-water-zno-interface-the-role-of-presolvation
#6
Vanessa Quaranta, Matti Hellström, Jörg Behler
The dissociation of water is an important step in many chemical processes at solid surfaces. In particular, water often spontaneously dissociates near metal oxide surfaces, resulting in a mixture of H2O, H(+), and OH(-) at the interface. Ubiquitous proton-transfer (PT) reactions cause these species to dynamically interconvert, but the underlying mechanisms are poorly understood. Here, we develop and use a reactive high-dimensional neural-network potential based on density functional theory data to elucidate the structural and dynamical properties of the interfacial species at the liquid-water-metal-oxide interface, using the nonpolar ZnO(101̅0) surface as a prototypical case...
March 20, 2017: Journal of Physical Chemistry Letters
https://www.readbyqxmd.com/read/28293163/an-fpga-platform-for-real-time-simulation-of-spiking-neuronal-networks
#7
Danilo Pani, Paolo Meloni, Giuseppe Tuveri, Francesca Palumbo, Paolo Massobrio, Luigi Raffo
In the last years, the idea to dynamically interface biological neurons with artificial ones has become more and more urgent. The reason is essentially due to the design of innovative neuroprostheses where biological cell assemblies of the brain can be substituted by artificial ones. For closed-loop experiments with biological neuronal networks interfaced with in silico modeled networks, several technological challenges need to be faced, from the low-level interfacing between the living tissue and the computational model to the implementation of the latter in a suitable form for real-time processing...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28288824/switching-markov-decoders-for-asynchronous-trajectory-reconstruction-from-ecog-signals-in-monkeys-for-bci-applications
#8
Marie-Caroline Schaeffer, Tetiana Aksenova
Brain-Computer Interfaces (BCIs) are systems which translate brain neural activity into commands for external devices. BCI users generally alternate between No-Control (NC) and Intentional Control (IC) periods. NC/IC discrimination is crucial for clinical BCIs, particularly when they provide neural control over complex effectors such as exoskeletons. Numerous BCI decoders focus on the estimation of continuously-valued limb trajectories from neural signals. The integration of NC support into continuous decoders is investigated in the present article...
March 10, 2017: Journal of Physiology, Paris
https://www.readbyqxmd.com/read/28287078/the-design-of-and-chronic-tissue-response-to-a-composite-nerve-electrode-with-patterned-stiffness
#9
Max Freeberg, Matthew Stone, Ronald Triolo, Dustin Tyler
As neural interfaces demonstrate success in chronic applications, a novel class of reshaping electrodes with patterned regions of stiffness will enable application to a widening range of anatomical locations. Patterning stiff regions and flexible regions of the electrode enables nerve reshaping while accommodating anatomical constraints of various implant locations ranging from peripheral nerves to spinal and autonomic plexi. Introduced is a new composite electrode enabling patterning of regions of various electrode mechanical properties...
March 13, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28286475/neural-networks-for-time-perception-and-working-memory
#10
Sertaç Üstün, Emre H Kale, Metehan Çiçek
Time is an important concept which determines most human behaviors, however questions remain about how time is perceived and which areas of the brain are responsible for time perception. The aim of this study was to evaluate the relationship between time perception and working memory in healthy adults. Functional magnetic resonance imaging (fMRI) was used during the application of a visual paradigm. In all of the conditions, the participants were presented with a moving black rectangle on a gray screen. The rectangle was obstructed by a black bar for a time period and then reappeared again...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28286237/retrospectively-supervised-click-decoder-calibration-for-self-calibrating-point-and-click-brain-computer-interfaces
#11
Beata Jarosiewicz, Anish A Sarma, Jad Saab, Brian Franco, Sydney S Cash, Emad N Eskandar, Leigh R Hochberg
Brain-computer interfaces (BCIs) aim to restore independence to people with severe motor disabilities by allowing control of acursor on a computer screen or other effectors with neural activity. However, physiological and/or recording-related nonstationarities in neural signals can limit long-term decoding stability, and it would be tedious for users to pause use of the BCI whenever neural control degrades to perform decoder recalibration routines. We recently demonstrated that a kinematic decoder (i.e. a decoder that controls cursor movement) can be recalibrated using data acquired during practical point-and-click control of the BCI by retrospectively inferring users' intended movement directions based on their subsequent selections...
March 8, 2017: Journal of Physiology, Paris
https://www.readbyqxmd.com/read/28279349/navigating-the-neural-space-in-search-of-the-neural-code
#12
REVIEW
Mehrdad Jazayeri, Arash Afraz
The advent of powerful perturbation tools, such as optogenetics, has created new frontiers for probing causal dependencies in neural and behavioral states. These approaches have significantly enhanced the ability to characterize the contribution of different cells and circuits to neural function in health and disease. They have shifted the emphasis of research toward causal interrogations and increased the demand for more precise and powerful tools to control and manipulate neural activity. Here, we clarify the conditions under which measurements and perturbations support causal inferences...
March 8, 2017: Neuron
https://www.readbyqxmd.com/read/28278476/review-human-intracortical-recording-and-neural-decoding-for-brain-computer-interfaces
#13
David M Brandman, Sydney S Cash, Leigh R Hochberg
Brain Computer Interfaces (BCIs) use neural information recorded from the brain for voluntary control of external devices. The development of BCI systems has largely focused on improving functional independence for individuals with severe motor impairments, including providing tools for communication and mobility. In this review, we describe recent advances in intracortical BCI technology and provide potential directions for further research.
March 2, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28275726/enhanced-pedot-adhesion-on-solid-substrates-with-electrografted-p-edot-nh2
#14
Liangqi Ouyang, Bin Wei, Chin-Chen Kuo, Sheevangi Pathak, Brendan Farrell, David C Martin
Conjugated polymers, such as poly(3,4-ethylene dioxythiophene) (PEDOT), have emerged as promising materials for interfacing biomedical devices with tissue because of their relatively soft mechanical properties, versatile organic chemistry, and inherent ability to conduct both ions and electrons. However, their limited adhesion to substrates is a concern for in vivo applications. We report an electrografting method to create covalently bonded PEDOT on solid substrates. An amine-functionalized EDOT derivative (2,3-dihydrothieno[3,4-b][1,4]dioxin-2-yl)methanamine (EDOT-NH2), was synthesized and then electrografted onto conducting substrates including platinum, iridium, and indium tin oxide...
March 2017: Science Advances
https://www.readbyqxmd.com/read/28275048/brain-machine-interfaces-from-basic-science-to-neuroprostheses-and-neurorehabilitation
#15
REVIEW
Mikhail A Lebedev, Miguel A L Nicolelis
Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from neurophysiology, computer science, and engineering in an effort to establish real-time bidirectional links between living brains and artificial actuators. Although theoretical propositions and some proof of concept experiments on directly linking the brains with machines date back to the early 1960s, BMI research only took off in earnest at the end of the 1990s, when this approach became intimately linked to new neurophysiological methods for sampling large-scale brain activity...
April 2017: Physiological Reviews
https://www.readbyqxmd.com/read/28269704/multiscale-brain-machine-interface-decoders
#16
Han-Lin Hsieh, Maryam M Shanechi
Brain-machine interfaces (BMI) have vastly used a single scale of neural activity, e.g., spikes or electrocorticography (ECoG), as their control signal. New technology allows for simultaneous recording of multiple scales of neural activity, from spikes to local field potentials (LFP) and ECoG. These advances introduce the new challenge of modeling and decoding multiple scales of neural activity jointly. Such multi-scale decoding is challenging for two reasons. First, spikes are discrete-valued and ECoG/LFP are continuous-valued, resulting in fundamental differences in statistical characteristics...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269697/design-considerations-for-neural-amplifiers
#17
Jeremy Holleman
The initial amplification stage is a critical element of a neural signal acquisition system, and the design of low-noise, low-power amplifiers has received a great deal of attention in recent publications. In this paper we discuss practical considerations for the design of amplifiers intended for neural interfaces. Noise is a major issue due to the low amplitude of neural signals. Practical system deployments also require adequate rejection of common-mode interference, such as that due to line power noise or muscle artifacts, and supply noise...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269694/cmos-based-opto-electronic-neural-interface-devices-for-optogenetics
#18
Takashi Tokuda, Satoki Noguchi, Satoru Iwasaki, Hiroaki Takehara, Toshihiko Noda, Kiyotaka Sasagawa, Jun Ohta
CMOS-based opto-electronic neural interface devices are presented. The devices are designed with target application of in vitro and in vivo optogenetics. Two types of the opto-electronic neural interface devices are presented. One is single-chip type device for on-chip optogenetics, and the other is multi-chip type device with flexibility and wide-area coverage for in vivo optogenetics on brain. Design, packaging and functional evaluations are presented.
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269665/a-hybrid-hardware-and-software-approach-for-cancelling-stimulus-artifacts-during-same-electrode-neural-stimulation-and-recording
#19
Stanislav Culaclii, Brian Kim, Yi-Kai Lo, Wentai Liu
Recovering neural responses from electrode recordings is fundamental for understanding the dynamics of neural networks. This effort is often obscured by stimulus artifacts in the recordings, which result from stimuli injected into the electrode-tissue interface. Stimulus artifacts, which can be orders of magnitude larger than the neural responses of interest, can mask short-latency evoked responses. Furthermore, simultaneous neural stimulation and recording on the same electrode generates artifacts with larger amplitudes compared to a separate electrode setup, which inevitably overwhelm the amplifier operation and cause unrecoverable neural signal loss...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269587/investigating-motor-imagery-tasks-by-their-neural-effects-a-case-study
#20
I E Nicolae, M M C Stefan, B Hurezeanu, D D Taralunga, R Strungaru, T M Vasile, O A Bajenaru, G M Ungureanu
Motor imagery, one of the first investigated neural process for Brain-Computer Interfaces (BCIs) still provides a great challenge nowadays. Aiming a better and more accurate control, multiple researches have been conducted by the scientific community. Nevertheless, there is still no robust and confident application developed. In order to augment the potential referring to motor imagery, and to attract user's interest, we propose multiple motor imagery tasks in combination with different visual or auditory stimuli...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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"