2007 3rd International IEEE/EMBS Conference on Neural Engineering最新文献

Site-selective Electrical Recording from Small Neuronal Circuits using Spray Patterning Method and Mobile Microelectrodes 使用喷雾模式法和可移动微电极的小神经元电路的位置选择性电记录

2007 3rd International IEEE/EMBS Conference on Neural Engineering Pub Date : 2007-06-11 DOI: 10.1109/CNE.2007.369717

H. Moriguchi, N. Tamai, Y. Takayama, Y. Jimbo

{"title":"Site-selective Electrical Recording from Small Neuronal Circuits using Spray Patterning Method and Mobile Microelectrodes","authors":"H. Moriguchi, N. Tamai, Y. Takayama, Y. Jimbo","doi":"10.1109/CNE.2007.369717","DOIUrl":"https://doi.org/10.1109/CNE.2007.369717","url":null,"abstract":"In the attempt to fully understand the mechanism for the formation and realization of tissue-specific functions of living multicellular systems, a couple of experimental conditions is required; grasping both the whole picture and the state of elements of a multicellular system. From this viewpoint, selecting neuronal circuits as the target, we have developed an electrical recording method from cultured small neuronal circuits by combining a simple micropatterning technique with a extracellular recording method using a mobile microelectrode. The simple micropatterning method enabled formation of thousands of individual small neuronal circuits consist of single to tens of neurons in one common 35-mm culture dish without any microfabrication apparatus by means of spraying of poly-D-lysine solution onto non-adhesive culture surfaces. Those small neuronal circuits, derived from embryonic hippocampus of rats, showed spontaneous synchronous firing after 8 days after cell seeding. Any of these small neuronal circuits were accessible with a mobile microelectrode, and their spontaneous firings were recorded noninvasively with single-cell-resolution by positioning the tip on constituent neurons. This set of methods does not require any specialized microfabrication apparatus or chemicals, and has a possibility to be used as a practical recording method of electrophysiological activities of a variety of multicellular organisms","PeriodicalId":427054,"journal":{"name":"2007 3rd International IEEE/EMBS Conference on Neural Engineering","volume":"20 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124157850","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

Enhancement of Information Transmission with Stochastic Resonance: Influence of Stimulating Position in Hippocampal CA1 Neuron Models 随机共振增强信息传递:刺激位置对海马CA1神经元模型的影响

2007 3rd International IEEE/EMBS Conference on Neural Engineering Pub Date : 2007-05-02 DOI: 10.1109/CNE.2007.369764

H. Mino, D. Durand

{"title":"Enhancement of Information Transmission with Stochastic Resonance: Influence of Stimulating Position in Hippocampal CA1 Neuron Models","authors":"H. Mino, D. Durand","doi":"10.1109/CNE.2007.369764","DOIUrl":"https://doi.org/10.1109/CNE.2007.369764","url":null,"abstract":"Stochastic resonance (SR) has been shown to enhance the signal to noise ratio or detection of signals in neurons. It is not yet clear how this effect of SR on the signal to noise ratio affects signal processing in neural networks. In this paper, we test the hypothesis that SR can improve information transmission in which sub-threshold stimuli are driven to distal positions on the dendritic trees of hippocampal CA1 neuron models. From spike firing times recorded at the soma, the inter spike intervals were generated and then \"total\" and \"noise\" entropies were estimated to obtain the mutual information and information rate of the spike trains. The simulation results show that the information rate reached a maximum value at a specific amplitude of the background noise in which sub-threshold stimuli were driven to distal positions on dendritic trees, while the information rate decreased as the noise intensity increased in which supra-threshold stimuli were driven to a proximal position. It is implied that SR can play a key role in improving the information transmission in the case of the sub-threshold input located at distal positions on the dendritic trees","PeriodicalId":427054,"journal":{"name":"2007 3rd International IEEE/EMBS Conference on Neural Engineering","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121802573","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: 1

Operation of a Brain-Computer Interface Using Vibrotactile Biofeedback 基于振动触觉生物反馈的脑机接口操作

2007 3rd International IEEE/EMBS Conference on Neural Engineering Pub Date : 2007-05-02 DOI: 10.1109/CNE.2007.369639

A. Chatterjee, V. Aggarwal, A. Ramos, S. Acharya, N. Thakor

引用次数: 4

Myoelectric and Common-Mode Interference Rejection in a Quasi-Tripole Amplifier Configuration 准三极放大器结构中的肌电和共模干扰抑制

2007 3rd International IEEE/EMBS Conference on Neural Engineering Pub Date : 2007-05-02 DOI: 10.1109/CNE.2007.369626

I. Pachnis, A. Demosthenous, N. Donaldson

引用次数: 2

eXtensible Instrument Processing Protocol (XIPP): A Real-Time Signal Processing Framework for Neural Interfaces 可扩展仪器处理协议(XIPP):用于神经接口的实时信号处理框架

2007 3rd International IEEE/EMBS Conference on Neural Engineering Pub Date : 2007-05-02 DOI: 10.1109/CNE.2007.369706

K. S. Guillory, C. Gyulai, J. D. Brederson

引用次数: 0

Sub-band Common Spatial Pattern (SBCSP) for Brain-Computer Interface 脑机接口的子带公共空间模式

2007 3rd International IEEE/EMBS Conference on Neural Engineering Pub Date : 2007-05-02 DOI: 10.1109/CNE.2007.369647

Q. Novi, Cuntai Guan, T. H. Dat, P. Xue

{"title":"Sub-band Common Spatial Pattern (SBCSP) for Brain-Computer Interface","authors":"Q. Novi, Cuntai Guan, T. H. Dat, P. Xue","doi":"10.1109/CNE.2007.369647","DOIUrl":"https://doi.org/10.1109/CNE.2007.369647","url":null,"abstract":"Brain-computer interface (BCI) is a system to translate humans thoughts into commands. For electroencephalography (EEG) based BCI, motor imagery is considered as one of the most effective ways. Different imagery activities can be classified based on the changes in mu and/or beta rhythms and their spatial distributions. However, the change in these rhythmic patterns varies from one subject to another. This causes an unavoidable time-consuming fine-tuning process in building a BCI for every subject. To address this issue, we propose a new method called sub-band common spatial pattern (SBCSP) to solve the problem. First, we decompose the EEG signals into sub-bands using a filter bank. Subsequently, we apply a discriminative analysis to extract SBCSP features. The SBCSP features are then fed into linear discriminant analyzers (LDA) to obtain scores which reflect the classification capability of each frequency band. Finally, the scores are fused to make decision. We evaluate two fusion methods: recursive band elimination (RBE) and meta-classifier (MC). We assess our approaches on a standard database from BCI Competition III. We also compare our method with two other approaches that address the same issue. The results show that our method outperforms the other two approaches and achieves similar result as compared to the best one in the literature which was obtained by a time-consuming fine-tuning process.","PeriodicalId":427054,"journal":{"name":"2007 3rd International IEEE/EMBS Conference on Neural Engineering","volume":"408 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114932677","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: 273

Detecting cognitive activity related hemodynamic signal for brain computer interface using functional near infrared spectroscopy 功能近红外光谱检测脑机接口认知活动相关血流动力学信号

2007 3rd International IEEE/EMBS Conference on Neural Engineering Pub Date : 2007-05-02 DOI: 10.1109/CNE.2007.369680

H. Ayaz, M. Izzetoglu, S. Bunce, T. Heiman-Patterson, B. Onaral

{"title":"Detecting cognitive activity related hemodynamic signal for brain computer interface using functional near infrared spectroscopy","authors":"H. Ayaz, M. Izzetoglu, S. Bunce, T. Heiman-Patterson, B. Onaral","doi":"10.1109/CNE.2007.369680","DOIUrl":"https://doi.org/10.1109/CNE.2007.369680","url":null,"abstract":"The ideal non-invasive brain computer interface (BCI) transforms signals originating from human brain into commands that can control devices and applications. Hence, BCI provides a way for brain output that does not involve neuromuscular system. This represents an advantage for those individuals suffering from neuromuscular impairments such as amyotrophic lateral sclerosis (ALS) or various types of paralysis. In this study we propose to design a new noninvasive BCI that is based on optical means to measure brain activity by monitoring hemodynamic response. The proposed system uses functional near infrared (fNIR) spectroscopy to detect cognitive activity from prefrontal cortex elicited voluntarily by performing a mental task namely N-back test. Our findings indicate that fNIR signal correlates with cognitive tasks associated with working memory. These experimental outcomes compare favorably with previous functional magnetic resonance imaging (fMRI) and complement electroencephalogram (EEG) findings. Since fNIR can be implemented in the form of a wearable and minimally intrusive device, it also has the capacity to monitor brain activity under real life conditions in everyday environments leading the way to potential applications of fNIR in BCI development for communication and entertainment purposes.","PeriodicalId":427054,"journal":{"name":"2007 3rd International IEEE/EMBS Conference on Neural Engineering","volume":"258 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116192942","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: 68

Automatic Spike Sorting For Real-time Applications 用于实时应用的自动尖峰排序

2007 3rd International IEEE/EMBS Conference on Neural Engineering Pub Date : 2007-05-02 DOI: 10.1109/CNE.2007.369761

D. Sebald, A. Branner

引用次数: 7

Multifractal Analysis of Sleep EEG Dynamics in Humans 人类睡眠脑电图动态的多重分形分析

2007 3rd International IEEE/EMBS Conference on Neural Engineering Pub Date : 2007-05-02 DOI: 10.1109/CNE.2007.369730

I.H. Song, Y. Ji, B. K. Cho, J. Ku, Y. Chee, J.S. Lee, M. Lee, I.Y. Kim, S.I. Kim

引用次数: 17

Towards a Bionic Neural Link for Implantable Prosthetics 一种用于植入式假肢的仿生神经链

2007 3rd International IEEE/EMBS Conference on Neural Engineering Pub Date : 2007-05-02 DOI: 10.1109/CNE.2007.369618

Xiaoying Li, T.G. Constandinoir, A. Eftekhar, P. Georgiou, C. Toumazoi

引用次数: 0