2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)最新文献_第7页

Hybrid Brain Computer Interface via Bayesian integration of EEG and eye gaze 基于脑电和眼球注视贝叶斯融合的混合脑机接口

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146582

Xujiong Dong, Haofei Wang, Zhaokang Chen, Bertram E. Shi

引用次数: 20

Inherently stochastic spiking neurons for probabilistic neural computation 用于概率神经计算的固有随机尖峰神经元

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146633

Maruan Al-Shedivat, R. Naous, E. Neftci, G. Cauwenberghs, K. Salama

引用次数: 22

Web-enabled software for clinical telegaming evaluation of multisensory integration and response to auditory and visual stimuli 用于临床远程游戏评估多感觉整合和对听觉和视觉刺激的反应的网络软件

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146729

Linda Xu, S. Loh, C. Taswell

引用次数: 0

Photovoltaic restoration of high visual acuity in rats with retinal degeneration 视网膜变性大鼠高视力的光电恢复

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146606

H. Lorach, Georges A. Goetz, Y. Mandel, R. Smith, David Boinagrov, X. Lei, R. Dalal, P. Huie, T. Kamins, J. Harris, K. Mathieson, A. Sher, D. Palanker

{"title":"Photovoltaic restoration of high visual acuity in rats with retinal degeneration","authors":"H. Lorach, Georges A. Goetz, Y. Mandel, R. Smith, David Boinagrov, X. Lei, R. Dalal, P. Huie, T. Kamins, J. Harris, K. Mathieson, A. Sher, D. Palanker","doi":"10.1109/NER.2015.7146606","DOIUrl":"https://doi.org/10.1109/NER.2015.7146606","url":null,"abstract":"Patients with retinal degeneration lose sight due to gradual demise of photoreceptors. Electrical stimulation of the surviving retinal neurons provides an alternative route for delivery of visual information. We developed subretinal photovoltaic arrays to convert pulsed light into bi-phasic pulses of current to stimulate the nearby inner retinal neurons. Bright pulsed illumination is provided by image projection from video goggles and avoids photophobic effects by using near-infrared (NIR, 880-915nm) light. Experiments in-vitro and in-vivo demonstrate that the network-mediated retinal stimulation preserves many features of natural vision, such as flicker fusion, adaptation to static images, and most importantly, high spatial resolution. Our implants with 70μm pixels restored visual acuity to half of the normal level in rats with retinal degeneration. Ease of implantation and tiling of these wireless arrays to cover a large visual field, combined with their high resolution opens the door to highly functional restoration of sight.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133679585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive control of a robotic exoskeleton for neurorehabilitation 神经康复机器人外骨骼的自适应控制

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146745

Tommaso Proietti, N. Jarrassé, A. Roby-Brami, G. Morel

引用次数: 21

LFPs network of hippocampal-prefrontal circuit during working memory task 工作记忆任务中海马-前额叶回路的lfp网络

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146791

Tiaotiao Liu, X. Tian

引用次数: 0

Neural representations of movement intentions during brain-controlled self-motion 脑控自我运动中运动意图的神经表征

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146601

R. So, Zhiming Xu, C. Libedinsky, Kyaw Kyar Toe, K. Ang, S. Yen, Cuntai Guan

{"title":"Neural representations of movement intentions during brain-controlled self-motion","authors":"R. So, Zhiming Xu, C. Libedinsky, Kyaw Kyar Toe, K. Ang, S. Yen, Cuntai Guan","doi":"10.1109/NER.2015.7146601","DOIUrl":"https://doi.org/10.1109/NER.2015.7146601","url":null,"abstract":"Using a brain-machine interface (BMI), a non-human primate (NHP) was trained to control a mobile robotic platform in real time using spike activity from the motor cortex, enabling self-motion through brain-control. The decoding model was initially trained using neural signals recorded when the NHP controlled the platform using a joystick. Using this decoding model, we compared the performance of the BMI during brain control with and without the use of a dummy joystick, and found that the success ratio dropped by 40% and time taken increased by 45% when the dummy joystick was removed. Performance during full brain control was only restored after a recalibration of the decoding model. We aimed to understand the differences in the underlying neural representations of movement intentions with and without the use of a dummy joystick, and showed that there were significant changes in both directional tuning, as well as global firing rates. These results indicate that the strategies used by the NHP for self-motion were different depending on whether a dummy joystick was present. We propose that a recalibration of the decoding model is an important step during the implementation of a BMI system for self-motion.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134561706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

A model of the cortico-basal ganglia network and local field potential during deep brain stimulation 脑深部刺激时皮质-基底神经节网络和局部场电位的模型

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146756

Eleanor Dunn, M. Lowery

{"title":"A model of the cortico-basal ganglia network and local field potential during deep brain stimulation","authors":"Eleanor Dunn, M. Lowery","doi":"10.1109/NER.2015.7146756","DOIUrl":"https://doi.org/10.1109/NER.2015.7146756","url":null,"abstract":"Oscillatory neural activity in the beta frequency band (12-30 Hz) is elevated in Parkinson's disease and is correlated with the associated motor symptoms. These oscillations, which can be monitored through the local field potential (LFP) recorded by a deep brain stimulation (DBS) electrode, can give insight into the mechanisms of action, as well as treatment efficacy, of DBS. A detailed physiological model of the cortico-basal ganglia network during DBS of the subthalamic nucleus (STN) is presented. The model incorporates extracellular stimulation of STN afferent fibers, with both orthodromic and antidromic activation, and the LFP detected at the electrode. Pathological beta-band oscillations within the cortico-basal ganglia network were simulated and found to be attenuated following the application of DBS. The effects of varying DBS parameters, including pulse amplitude, duration and frequency, on the LFP at the DBS electrode were then assessed. The model presented here can be further used to understand the interaction of DBS with the complex dynamics of the cortico-basal ganglia network and subsequent changes observed in the LFP.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"276 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124444646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Video game speech rehabilitation for velopharyngeal dysfunction: Feasibility and pilot testing 视频游戏对腭咽功能障碍的言语康复:可行性和试点测试

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146747

Meredith J. Cler, Graham E. Voysey, C. Stepp

引用次数: 1

Classification of motor unit activity following targeted muscle reinnervation 定向肌肉神经再支配后运动单元活动的分类

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146707

Tamas Kapelner, N. Jiang, I. Vujaklija, O. Aszmann, A. Holobar, D. Farina

{"title":"Classification of motor unit activity following targeted muscle reinnervation","authors":"Tamas Kapelner, N. Jiang, I. Vujaklija, O. Aszmann, A. Holobar, D. Farina","doi":"10.1109/NER.2015.7146707","DOIUrl":"https://doi.org/10.1109/NER.2015.7146707","url":null,"abstract":"For the past six decades, signal processing methods for myoelectric control of prostheses consisted mainly of calculating time- and frequency domain features of the EMG signal. This type of feature extraction considers the surface EMG as colored noise, neglecting its generation as a sum of motor unit activities. In this study we propose the use of motor unit behavior for classifying motor tasks with the aim of myoelectric control. We recorded high-density surface EMG of three patients who underwent targeted muscle reinnervation, and decomposed these signals into motor unit spike trains using an automatic offline EMG decomposition method. From the motor unit spike trains we used the number of discharges in each analysis interval as a feature for a support vector machine classifier. The same classifier was used for discriminating classic time-domain EMG features, for comparison. Classification accuracy was greater for motor unit information than for the classic features (97.06%±1.74 vs 85.01%±13.66), especially when the number of classes was high (95.11% ± 1.74 vs 69.25% ± 4.04 for 11 classes). These results suggest that the identification of motor unit activity from surface EMG can be a powerful way for pattern recognition in targeted muscle reinnervation patients.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134211622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11