2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)最新文献_第10页

Maximizing predictability of a bottom-up complex multi-scale model through systematic validation and multi-objective multi-level optimization 通过系统验证和多目标多层次优化，实现自下而上复杂多尺度模型的可预测性最大化

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146619

Jean-Marie C. Bouteiller, Zhuobo Feng, A. Onopa, Mike Huang, Eric Y. Hu, Endre T. Somogyi, M. Baudry, Serge Bischoff, T. Berger

{"title":"Maximizing predictability of a bottom-up complex multi-scale model through systematic validation and multi-objective multi-level optimization","authors":"Jean-Marie C. Bouteiller, Zhuobo Feng, A. Onopa, Mike Huang, Eric Y. Hu, Endre T. Somogyi, M. Baudry, Serge Bischoff, T. Berger","doi":"10.1109/NER.2015.7146619","DOIUrl":"https://doi.org/10.1109/NER.2015.7146619","url":null,"abstract":"Computational models are mathematical representations meant to replicate the biological system they represent, as well as provide insights and predict the system's dynamics in response to changing conditions. In a bottom-up modeling approach, a multitude of models may be compounded to represent more complex higher level biological systems. However, guaranteeing the validity and predictability of the compounded ensemble may become increasingly challenging as more components are integrated. We herein present a sequential and iterative method to maximize predictability of a complex multiscale model. We have successfully developed a multiscale modeling platform comprised of mechanisms ranging from the biomolecular level to multi-cellular networks. To maintain a high level of predictability of the global platform, we introduce a systematic approach to not only validate all models independently, but also verify the validity of compounded models as additional information becomes available at higher levels of complexity. Iterative and systematic application of these validation steps at increasing levels of complexity is intended to maximize the predictive power of the platform, making it a powerful tool to study the impacts of low-levels modifications (pathologies, drugs, etc.) on higher functional levels. The work presented lays down the rationale of the approach, the open design implementation and results.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"10 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":"127750462","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: 4

Gaze based robot control: The communicative approach 基于注视的机器人控制:交流方法

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146732

A. A. Fedorova, S. Shishkin, Yuri O. Nuzhdin, B. Velichkovsky

引用次数: 7

In vitro biological assessment of electrode materials for neural interfaces 神经界面电极材料的体外生物学评价

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146656

Aaron D. Gilmour, J. Goding, L. Poole-Warren, C. Thomson, R. Green

{"title":"In vitro biological assessment of electrode materials for neural interfaces","authors":"Aaron D. Gilmour, J. Goding, L. Poole-Warren, C. Thomson, R. Green","doi":"10.1109/NER.2015.7146656","DOIUrl":"https://doi.org/10.1109/NER.2015.7146656","url":null,"abstract":"The development of the next generation electrode interfaces for neural prosthetic devices requires high-through-put multifaceted testing strategies to assess material interactions with both peripheral and central nervous system (CNS) immune cells. The utility of a primary astrocyte enriched glial cell culture was assessed as a potential in vitro tool for understanding the immune response to electrode materials. Conductive polymer consisting of electropolymerized poly(3,4-ethylenedioxythiophene) (PEDOT) doped with paratoluene sulfonate (pTS) was used as a novel electrode material and compared to the conventional electrode material, platinum (Pt). Morphology of astrocytes and microglia in contact with the materials was analyzed and compared to an immunoassay of TNFα release from human blood plasma. While all electrode materials failed to stimulate TNFα release from human leukocytes, the materials in contact with glial cells resulted in progressive reactive gliosis. This primary astrocyte in vitro assay provides insight into the degeneration of electrode performance in vivo as a result of scar tissue reactions in chronic implant devices. It also highlights the relevance of testing for immune reactions with an appropriate cell system.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"28 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":"121350280","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

A study on the stability of EEG signals for user authentication 用于用户认证的脑电信号稳定性研究

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146575

Tien Pham, Wanli Ma, D. Tran, Duc Tran, Dinh Q. Phung

引用次数: 21

Effect of interoception on intra- and inter-network connectivity of human brain — An independent component analysis of fMRI data 内感受对人脑内网络和网络间连通性的影响——fMRI数据的独立成分分析

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146624

B. Jarrahi, D. Mantini, S. Kollias

{"title":"Effect of interoception on intra- and inter-network connectivity of human brain — An independent component analysis of fMRI data","authors":"B. Jarrahi, D. Mantini, S. Kollias","doi":"10.1109/NER.2015.7146624","DOIUrl":"https://doi.org/10.1109/NER.2015.7146624","url":null,"abstract":"Most stimuli in the viscera do not reach conscious perception, although they may activate some cortical structures. However, recent evidences suggest that various forms of subliminal interoceptive inputs may influence brain function. In this study, we used spatial independent component analysis (ICA) as a multivariate method to investigate the effect of interoception on the intra- and inter-network connectivity of the human brain. 15 healthy participants were scanned during the resting-state and a visceral stimulation task. Following a recently suggested ICA framework, we applied a high model order ICA of 75 to the fMRI data, and identified 34 components as non-artifactual intrinsic connectivity networks (ICNs). Results demonstrate significant intra-network connectivity difference within the salience network (SN) and the default mode network (p <; 0.05, family-wise error corrected). Significant inter-network connectivity differences were also found for several ICN pairs, most notably between the SN and the frontoparietal central executive network, and between the SN and the limbic association network (p<;0.05, false discovery rate corrected for multiple comparisons). Taken together, these observations suggest significant effect of interoception on the network connectivity architecture of the human brain especially involving the SN when compared to the resting-state baseline.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"38 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":"126923121","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: 9

Long-term paired sensory stimulation training for improved motor imagery BCI performance via pavlovian conditioning theory 基于巴甫洛夫条件反射理论的长期配对感觉刺激训练对运动意象脑机接口表现的改善

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146567

Lin Yao, Tao Xie, Xiaokang Shu, X. Sheng, Dingguo Zhang, Xiangyang Zhu

引用次数: 1

Data-efficient hand motor imagery decoding in EEG-BCI by using Morlet wavelets & Common Spatial Pattern algorithms 基于Morlet小波和通用空间模式算法的EEG-BCI数据高效手部运动图像解码

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146782

A. Ferrante, Constantinos Gavriel, A. Faisal

{"title":"Data-efficient hand motor imagery decoding in EEG-BCI by using Morlet wavelets & Common Spatial Pattern algorithms","authors":"A. Ferrante, Constantinos Gavriel, A. Faisal","doi":"10.1109/NER.2015.7146782","DOIUrl":"https://doi.org/10.1109/NER.2015.7146782","url":null,"abstract":"EEG-based Brain Computer Interfaces (BCIs) are quite noisy brain signals recorded from the scalp (electroencephalography, EEG) to translate the user's intent into action. This is usually achieved by looking at the pattern of brain activity across many trials while the subject is imagining the performance of an instructed action - the process known as motor imagery. Nevertheless, existing motor imagery classification algorithms do not always achieve good performances because of the noisy and non-stationary nature of the EEG signal and inter-subject variability. Thus, current EEG BCI takes a considerable upfront toll on patients, who have to submit to lengthy training sessions before even being able to use the BCI. In this study, we developed a data-efficient classifier for left/right hand motor imagery by combining in our pattern recognition both the oscillation frequency range and the scalp location. We achieve this by using a combination of Morlet wavelet and Common Spatial Pattern theory to deal with nonstationarity and noise. The system achieves an average accuracy of 88% across subjects and was trained by about a dozen training (10-15) examples per class reducing the size of the training pool by up to a 100-fold, making it very data-efficient way for EEG BCI.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"740 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":"126497273","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: 19

Dynamic interlaminar and thalamocortical interaction supported by top-down beta rhythms 由自上而下的β节律支持的动态层间和丘脑皮层相互作用

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146639

Narsis Salafzoon, D. Strauss, N. Hatsopoulos, Kazutaka Takahashi

{"title":"Dynamic interlaminar and thalamocortical interaction supported by top-down beta rhythms","authors":"Narsis Salafzoon, D. Strauss, N. Hatsopoulos, Kazutaka Takahashi","doi":"10.1109/NER.2015.7146639","DOIUrl":"https://doi.org/10.1109/NER.2015.7146639","url":null,"abstract":"The neocortex, as a great majority of the cerebral cortex, conceals multiple bands of oscillations recorded in local field potentials (LFPs), which are associated with different neural circuits and their corresponding brain functions. Not only are the complex neural connections in this area significant factors in the emergence of the cortical oscillations, but the inputs from the thalamus to the cortex along with cortical projections to dorsal thalamic nuclei and to the thalamic reticular nucleus as a part of the ventral nuclei as well. These cortical oscillations are related to sensory processing, memory, cognition, and motor control. Here, we developed a functional simulation model of the basic thalamocortical - corticothalamic loop architecture with detailed cortical laminar structure and a diverse set of neuron types. Our model generates prominent β oscillations, and demonstrates the role of the time-varying bottom up inputs in the dynamics of β oscillation in different layers of the cortex. Through excitatory top-down β signals, which were strongly modulated based on frontal attentional inputs, two states were also modeled: Attended and Non-Attended.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"77 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":"131295263","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: 2

Optimizing retinal ganglion cell responses to high-frequency electrical stimulation strategies for preferential neuronal excitation 优化视网膜神经节细胞对高频电刺激策略的反应，优选神经元兴奋

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146607

Tianruo Guo, N. Lovell, D. Tsai, Perry Twyford, S. Fried, J. Morley, G. Suaning, S. Dokos

引用次数: 6

Role of major burst leaders in modular hippocampal networks 模块化海马体网络中主要突发先导的作用

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2015-04-22 DOI: 10.1109/NER.2015.7146677

M. Bisio, Valentina Pasquale, A. Bosca, L. Berdondini, M. Chiappalone

{"title":"Role of major burst leaders in modular hippocampal networks","authors":"M. Bisio, Valentina Pasquale, A. Bosca, L. Berdondini, M. Chiappalone","doi":"10.1109/NER.2015.7146677","DOIUrl":"https://doi.org/10.1109/NER.2015.7146677","url":null,"abstract":"The development of in vitro neuronal models constituted by patterned networks is of significant interest in the neuroscientific community and requires the convergence of electrophysiological studies with micro/nano-fabrication techniques. In this paper we make use of a methodology to induce self-organization of networks into two connected sub-populations grown onto commercially available Micro Electrode Arrays (MEAs) in order to understand the role of `burst leaders' in generating the collective synchronous events (i.e. network bursts) spontaneously arising in dissociated cultures. Considering the multitude of connections shown by uniform neuronal cultures, the restraint of neurite outgrowth along specific pathways ensures a considerable control over network complexity. Here we exploit this topological configuration to investigate whether and how network burst generation is affected by the development of the network. Our results constitute important evidence that engineered neuronal networks are a powerful platform to systematically approach questions related to the dynamics of neuronal assemblies.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"6 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":"124045918","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