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https://www.readbyqxmd.com/read/28227965/multiscale-brain-machine-interface-decoders
#1
Han-Lin Hsieh, Maryam M Shanechi, Han-Lin Hsieh, Maryam M Shanechi, 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/28227958/design-considerations-for-neural-amplifiers
#2
Jeremy Holleman, Jeremy Holleman, 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/28227955/cmos-based-opto-electronic-neural-interface-devices-for-optogenetics
#3
Takashi Tokuda, Satoki Noguchi, Satoru Iwasaki, Hiroaki Takehara, Toshihiko Noda, Kiyotaka Sasagawa, Jun Ohta, Takashi Tokuda, Satoki Noguchi, Satoru Iwasaki, Hiroaki Takehara, Toshihiko Noda, Kiyotaka Sasagawa, Jun Ohta, Toshihiko Noda, Kiyotaka Sasagawa, Satoru Iwasaki, Takashi Tokuda, Satoki Noguchi, Hiroaki Takehara, 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/28227924/a-hybrid-hardware-and-software-approach-for-cancelling-stimulus-artifacts-during-same-electrode-neural-stimulation-and-recording
#4
Stanislav Culaclii, Brian Kim, Yi-Kai Lo, Wentai Liu, Stanislav Culaclii, Brian Kim, Yi-Kai Lo, Wentai Liu, Brian Kim, Yi-Kai Lo, Wentai Liu, Stanislav Culaclii
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/28227843/investigating-motor-imagery-tasks-by-their-neural-effects-a-case-study
#5
I E Nicolae, M M C Stefan, B Hurezeanu, D D Taralunga, R Strungaru, T M Vasile, O A Bajenaru, G M Ungureanu, I E Nicolae, M M C Stefan, B Hurezeanu, D D Taralunga, R Strungaru, T M Vasile, O A Bajenaru, G M Ungureanu, B Hurezeanu, R Strungaru, G M Ungureanu, O A Bajenaru, D D Taralunga, T M Vasile, I E Nicolae, M M C Stefan
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
https://www.readbyqxmd.com/read/28227813/a-110-nw-in-channel-sigma-delta-converter-for-large-scale-neural-recording-implants
#6
M Rezaei, E Maghsoudloo, M Sawan, B Gosselin, M Rezaei, E Maghsoudloo, M Sawan, B Gosselin, M Rezaei, E Maghsoudloo, M Sawan, B Gosselin
Advancement in wireless and microsystems technology have ushered in new devices that can directly interface with the central nervous system for stimulating and/or monitoring neural circuitry. In this paper, we present an ultra low-power sigma-delta analog-to-digital converter (ADC) intended for utilization into large-scale multi-channel neural recording implants. This proposed design, which provides a resolution of 9 bits using a one-bit oversampled ADC, presents several desirable features that allow for an in-channel ADC scheme, where one sigma-delta converter is provided for each channel, enabling development of scalable systems that can interface with different types of high-density neural microprobes...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227807/ecog-data-analyses-to-inform-closed-loop-bci-experiments-for-speech-based-prosthetic-applications
#7
Tejaswy Pailla, Werner Jiang, Benjamin Dichter, Edward F Chang, Vikash Gilja, Tejaswy Pailla, Werner Jiang, Benjamin Dichter, Edward F Chang, Vikash Gilja, Vikash Gilja, Werner Jiang, Tejaswy Pailla, Benjamin Dichter, Edward F Chang
Brain Computer Interfaces (BCIs) assist individuals with motor disabilities by enabling them to control prosthetic devices with their neural activity. Performance of closed-loop BCI systems can be improved by using design strategies that leverage structured and task-relevant neural activity. We use data from high density electrocorticography (ECoG) grids implanted in three subjects to study sensory-motor activity during an instructed speech task in which the subjects vocalized three cardinal vowel phonemes...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227803/ear-eeg-allows-extraction-of-neural-responses-in-challenging-listening-scenarios-a-future-technology-for-hearing-aids
#8
L Fiedler, J Obleser, T Lunner, C Graversen, L Fiedler, J Obleser, T Lunner, C Graversen, J Obleser, C Graversen, L Fiedler, T Lunner
Advances in brain-computer interface research have recently empowered the development of wearable sensors to record mobile electroencephalography (EEG) as an unobtrusive and easy-to-use alternative to conventional scalp EEG. One such mobile solution is to record EEG from the ear canal, which has been validated for auditory steady state responses and discrete event related potentials (ERPs). However, it is still under discussion where to place recording and reference electrodes to capture best responses to auditory stimuli...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227545/corticomuscular-coherence-variation-throughout-the-gait-cycle-during-overground-walking-and-ramp-ascent-a-preliminary-investigation
#9
Anna T Winslow, Justin Brantley, Fangshi Zhu, Jose L Contreras Vidal, He Huang, Anna T Winslow, Justin Brantley, Fangshi Zhu, Jose L Contreras Vidal, He Huang, Fangshi Zhu, Justin Brantley, Jose L Contreras Vidal, He Huang, Anna T Winslow
Recent designs of neural-machine interfaces (NMIs) incorporating electroencephalography (EEG) or electromyography (EMG) have been used in lower limb assistive devices. While the results of previous studies have shown promise, a NMI which takes advantage of early movement-related EEG activity preceding movement onset, as well as the improved signal-to-noise ratio of EMG, could prove to be more accurate and responsive than current NMI designs based solely on EEG or EMG. Previous studies have demonstrated that the activity of the sensorimotor cortex is coupled to the firing rate of motor units in lower limb muscles during voluntary contraction...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227544/tolerance-of-neural-decoding-errors-for-powered-artificial-legs-a-pilot-study
#10
Fan Zhang, Ming Liu, He Huang, Fan Zhang, Ming Liu, He Huang, He Huang, Ming Liu, Fan Zhang
Neural-machine interface (NMI) decoding errors challenge the clinical value of neural control of powered artificial legs, because these errors can dangerously disturb the user's walking balance, cause stumbles or falls, and thus threaten the user's confidence and safety in prosthesis use. Although extensive research efforts have been made to minimize the NMI decoding error rate, none of the current approaches can completely eliminate the errors in NMI. This study aimed at improving the robustness of prosthesis control system against neural decoding errors by introducing a fault-tolerant control (FTC) strategy...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227513/in-vitro-assessment-of-long-term-reliability-of-low-cost-%C3%AE-ecog-arrays
#11
Kay Palopoli-Trojani, Virginia Woods, Chia-Han Chiang, Michael Trumpis, Jonathan Viventi, Kay Palopoli-Trojani, Virginia Woods, Chia-Han Chiang, Michael Trumpis, Jonathan Viventi, Kay Palopoli-Trojani, Virginia Woods, Chia-Han Chiang, Jonathan Viventi, Michael Trumpis
Micro-electrocorticographic (μECοG) electrode arrays provide a minimally invasive, high-resolution neural interface with broad cortical coverage. Previously, we fabricated μECoG arrays at a lower cost than commercially available devices using low-cost industrial processes [1], [2]. Here, we report the in vitro electrical performance of five μECoG designs undergoing an accelerated aging protocol. The impedance and yield of the μECoG arrays were tracked over time. The equivalent lifetime at 37°C depended on the manufacturer and material stack-up, and ranged between 30 and greater than 760 days (ongoing)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227509/development-of-a-brain-monitoring-system-for-multimodality-investigation-in-awake-rats
#12
Kanokwan Limnuson, Raj K Narayan, Amrit Chiluwal, Chad Bouton, Ping Wang, Chunyan Li, Kanokwan Limnuson, Raj K Narayan, Amrit Chiluwal, Chad Bouton, Ping Wang, Chunyan Li, Chunyan Li, Ping Wang, Kanokwan Limnuson, Amrit Chiluwal, Raj K Narayan, Chad Bouton
Multimodal brain monitoring is an important approach to gain insight into brain function, modulation, and pathology. We have developed a unique micromachined neural probe capable of real-time continuous monitoring of multiple physiological, biochemical and electrophysiological variables. However, to date, it has only been used in anesthetized animals due to a lack of an appropriate interface for awake animals. We have developed a versatile headstage for recording the small neural signal and bridging the sensors to the remote sensing units for multimodal brain monitoring in awake rats...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227503/suitability-of-nitinol-electrodes-in-neural-prostheses-such-as-endovascular-neural-interfaces
#13
Yan T Wong, Nicholas L Opie, Sam E John, Giulia Gerboni, Gil S Rind, Stephen M Ronayne, Kate E Fox, Thomas J Oxley, David B Grayden, Yan T Wong, Nicholas L Opie, Sam E John, Giulia Gerboni, Gil S Rind, Stephen M Ronayne, Kate E Fox, Thomas J Oxley, David B Grayden, Sam E John, Stephen M Ronayne, David B Grayden, Nicholas L Opie, Kate E Fox, Giulia Gerboni, Thomas J Oxley, Yan T Wong, Gil S Rind
A major challenge facing neural prostheses is the development of electrodes that are well tolerated by the brain and body. A novel way to circumvent the need to perform an invasive craniotomy and penetration of the blood-brain barrier to implant electrodes, is to guide electrodes up into the cerebral veins and place electrodes on the vessel walls adjacent to neuronal populations. To aid in the development of these stent based devices, microelectrodes manufactured from Nitinol would allow electrodes to be implanted via a catheter and then once deployed, alter their shape to conform to the vessel walls...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227501/feasibility-of-a-chronic-minimally-invasive-endovascular-neural-interface
#14
Nicholas L Opie, Gil S Rind, Sam E John, Stephen M Ronayne, David B Grayden, Anthony N Burkitt, Clive N May, Terence J O'Brien, Thomas J Oxley, Nicholas L Opie, Gil S Rind, Sam E John, Stephen M Ronayne, David B Grayden, Anthony N Burkitt, Clive N May, Terence J O'Brien, Thomas J Oxley, Sam E John, Stephen M Ronayne, David B Grayden, Nicholas L Opie, Anthony N Burkitt, Terence J O'Brien, Clive N May, Thomas J Oxley, Gil S Rind
Development of a neural interface that can be implanted without risky, open brain surgery will increase the safety and viability of chronic neural recording arrays. We have developed a minimally invasive surgical procedure and an endovascular electrode-array that can be delivered to overlie the cortex through blood vessels. Here, we describe feasibility of the endovascular interface through electrode viability, recording potential and safety. Electrochemical impedance spectroscopy demonstrated that electrode impedance was stable over 91 days and low frequency phase could be used to infer electrode incorporation into the vessel wall...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227497/a-wireless-system-with-stimulation-and-recording-capabilities-for-interfacing-peripheral-nerves-in-rodents
#15
P Schonle, F Michoud, N Brun, A Guex, S P Lacour, Q Wang, Q Huang, P Schonle, F Michoud, N Brun, A Guex, S P Lacour, Q Wang, Q Huang, N Brun, A Guex, P Schonle, Q Huang, Q Wang, S P Lacour, F Michoud
Considerable progress has been made in the last decade in implantable bioelectronic neurosystems. Yet most neural implants are used in acute and tethered experimental conditions. Here, we present a preliminary prototype of a multichannel system for simultaneous peripheral nerve stimulation and neural recording. The system comprises miniaturized electronics with a total volume of less then 1.4cm(3) including a 3.7V battery which is expected to last for 94 days of standby operation or 18 hours of continuous recording and stimulation...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227440/graphene-neural-interfaces-for-artifact-free-optogenetics
#16
Hongming Lyu, Xin Liu, Nick Rogers, Vikash Gilja, Duygu Kuzum, Hongming Lyu, Xin Liu, Nick Rogers, Vikash Gilja, Duygu Kuzum, Nick Rogers, Vikash Gilja, Xin Liu, Duygu Kuzum, Hongming Lyu
Light-induced artifacts in metal-based microelectrodes significantly limit simultaneous use of electrophysiology with optogenetics or optical imaging. In this work, we systematically investigate light-induced artifacts in Au and transparent graphene electrodes fabricated in the same batch. We demonstrate that the Au electrodes show light artifacts resembling genuine local field potentials, while graphene electrodes are free of light-induced artifacts. With its other desirable properties including high mechanical strength, good conductivity, transparency, and biocompatibility, graphene electrodes show great promise for combining electrical and optical modalities in the same experiment...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227194/exploring-neuro-muscular-synergies-of-reaching-movements-with-unified-independent-component-analysis
#17
Fiorenzo Artoni, Elvira Pirondini, Alessandro Panarese, Silvestre Micera, Fiorenzo Artoni, Elvira Pirondini, Alessandro Panarese, Silvestre Micera, Elvira Pirondini, Alessandro Panarese, Fiorenzo Artoni, Silvestro Micera
The coordinated recruitment of group of muscles through muscles synergies is known to simplify the control of movements. However, how and to what extent such control scheme is encoded at a cortical level is poorly understood. So far, electroencephalography (EEG) and electromyography (EMG) have been used, separately, to investigate the cortical regions of the human brain which may be involved in activating muscle synergies. Here we aim at extending these results by looking for a hierarchical relationship between cortical and muscular sources of activity (neuro-muscular synergies) with a unified analysis of independent components (IC) simultaneously extracted from both EEG and EMG signals...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227166/modeling-distinct-sources-of-neural-variability-driving-neuroprosthetic-control
#18
Preeya Khanna, Vivek R Athalye, Suraj Gowda, Rui M Costa, Jose M Carmena, Preeya Khanna, Vivek R Athalye, Suraj Gowda, Rui M Costa, Jose M Carmena, Jose M Carmena, Vivek R Athalye, Rui M Costa, Preeya Khanna, Suraj Gowda
Many closed-loop, continuous-control brain-machine interface (BMI) architectures rely on decoding via a linear readout of noisy population neural activity. However, recent work has found that decomposing neural population activity into correlated and uncorrelated variability reveals that improvements in cursor control coincide with the emergence of correlated neural variability. In order to address how correlated and uncorrelated neural variability arises and contributes to BMI cursor control, we simulate a neural population receiving combinations of shared inputs affecting all cells and private inputs affecting only individual cells...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227165/reward-value-is-encoded-in-primary-somatosensory-cortex-and-can-be-decoded-from-neural-activity-during-performance-of-a-psychophysical-task
#19
David B McNiel, John S Choi, John P Hessburg, Joseph T Francis, David B McNiel, John S Choi, John P Hessburg, Joseph T Francis, John P Hessburg, Joseph T Francis, John S Choi, David B McNiel
Encoding of reward valence has been shown in various brain regions, including deep structures such as the substantia nigra as well as cortical structures such as the orbitofrontal cortex. While the correlation between these signals and reward valence have been shown in aggregated data comprised of many trials, little work has been done investigating the feasibility of decoding reward valence on a single trial basis. Towards this goal, one non-human primate (macaca radiata) was trained to grip and hold a target level of force in order to earn zero, one, two, or three juice rewards...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227163/maximum-correntropy-based-attention-gated-reinforcement-learning-designed-for-brain-machine-interface
#20
Hongbao Li, Fang Wang, Qiaosheng Zhang, Shaomin Zhang, Yiwen Wang, Xiaoxiang Zheng, Jose C Principe, Hongbao Li, Fang Wang, Qiaosheng Zhang, Shaomin Zhang, Yiwen Wang, Xiaoxiang Zheng, Jose C Principe, Yiwen Wang, Jose C Principe, Xiaoxiang Zheng, Qiaosheng Zhang, Shaomin Zhang, Hongbao Li, Fang Wang
Reinforcement learning is an effective algorithm for brain machine interfaces (BMIs) which interprets the mapping between neural activities with plasticity and the kinematics. Exploring large state-action space is difficulty when the complicated BMIs needs to assign credits over both time and space. For BMIs attention gated reinforcement learning (AGREL) has been developed to classify multi-actions for spatial credit assignment task with better efficiency. However, the outliers existing in the neural signals still make interpret the neural-action mapping difficult...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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