International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering最新文献_第4页

An experimental and computational framework for modeling multi-muscle responses to transcranial magnetic stimulation of the human motor cortex. 模拟人体运动皮层对经颅磁刺激的多肌肉反应的实验和计算框架。

International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering Pub Date : 2019-03-01 Epub Date: 2019-05-20 DOI: 10.1109/ner.2019.8717159

Mathew Yarossi, Fernando Quivira, Moritz Dannhauer, Marc A Sommer, Dana H Brooks, Deniz Erdoğmuş, Eugene Tunik

引用次数: 0

The Nature of the Task Influences Intrinsic Connectivity Networks: An Exploratory fMRI Study in Healthy Subjects. 任务性质影响内在连通性网络:健康受试者的探索性功能磁共振成像研究。

International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering Pub Date : 2019-03-01 Epub Date: 2019-05-20 DOI: 10.1109/NER.2019.8717082

Behnaz Jarrahi, Dante Mantini

{"title":"The Nature of the Task Influences Intrinsic Connectivity Networks: An Exploratory fMRI Study in Healthy Subjects.","authors":"Behnaz Jarrahi, Dante Mantini","doi":"10.1109/NER.2019.8717082","DOIUrl":"https://doi.org/10.1109/NER.2019.8717082","url":null,"abstract":"Task-induced variations in neural activity and their effects on the topological architecture of intrinsic connectivity networks (ICNs) of the brain are still a matter of ongoing research. In this exploratory study, we used spatial independent component analysis (ICA) as a data-driven technique to characterize ICNs related to two different tasks in healthy subjects who underwent 3T blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI). The fMRI tasks consisted of (a) a viscerosensory stimulation of an internal organ (interoceptive task), and (b) passive viewing of emotionally expressive faces and pictures from the International Affective Picture System (exteroceptive emotion task). Comparison of the network volumes and peak activations during each task condition demonstrated that changes in ICN volume and corresponding peak activation differed between the interoceptive and exteroceptive emotion tasks when compared to the baseline rest. Further, salience network was the most task-activated ICN for both fMRI task conditions. However, different spatial characteristics were observed between the salience networks derived from the interoceptive task and the one derived from the exteroceptive emotion task. This study is a step in the direction of better understanding the influence of task condition on ICN topology. Future research with a larger sample size and task variations should delve deeper into what aspects of network topology really matter, with further investigations regarding the observed differences due to gender and age.","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":" ","pages":"489-493"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/NER.2019.8717082","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37409397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Filter bank extensions for subject non-specific SSVEP based BCIs 针对主题非特定的基于SSVEP的bci的筛选库扩展

International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering Pub Date : 2019-03-01 DOI: 10.1109/NER.2019.8716945

KIRAN KUMAR G R, M. Reddy

{"title":"Filter bank extensions for subject non-specific SSVEP based BCIs","authors":"KIRAN KUMAR G R, M. Reddy","doi":"10.1109/NER.2019.8716945","DOIUrl":"https://doi.org/10.1109/NER.2019.8716945","url":null,"abstract":"Recently, filter bank analysis has been used in several detection methods to extract selective frequency features across multiple brain computer interface (BCI) modalities due to its effectiveness and simple structure. In this work, we propose filter bank technique as a standard preprocessing method for popular training free multi-channel steady-state visual evoked potential (SSVEP) detection methods to overcome subject-specific performance differences and a general improvement in detection accuracy. Our study validates the effectiveness of filter bank extensions by comparing performance differences of multichannel methods with their filter bank counterparts using a forty target SSVEP benchmark dataset collected across thirty five subjects. The results demonstrate that the proposed two stage (a filter bank stage followed by SSVEP detection) implementation of popular multichannel algorithms provide significant improvement in performance at short datalengths of < 2.75 s (p < 0.001) and can be viewed as a potential standard detection approach across all SSVEP identification problems.","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":"66 1","pages":"627-630"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83377354","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

Transfer learning using low-dimensional subspaces for EMG-based classification of hand posture. 利用低维子空间进行转移学习，以 EMG 为基础对手部姿势进行分类。

International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering Pub Date : 2019-03-01 Epub Date: 2019-05-20 DOI: 10.1109/ner.2019.8717180

Sezen Yağmur Günay, Mathew Yarossi, Dana H Brooks, Eugene Tunik, Deniz Erdoğmuş

{"title":"Transfer learning using low-dimensional subspaces for EMG-based classification of hand posture.","authors":"Sezen Yağmur Günay, Mathew Yarossi, Dana H Brooks, Eugene Tunik, Deniz Erdoğmuş","doi":"10.1109/ner.2019.8717180","DOIUrl":"10.1109/ner.2019.8717180","url":null,"abstract":"This study proposes a novel approach for evaluating the task invariance of muscle synergies, vital for potential implementation in improving prosthetic hand control. We do this by using a transfer learning paradigm to test for invariance across a relatively small set of hand/forearm muscle synergies, derived from electromyographic (EMG) activation patterns during voluntary behaviors such as finger spelling and grasp mimicking postures and unconstrained exploration. EMG for each task were decomposed using non-negative matrix factorization into synergy and weight matrices, and cross-task weights for each task were then reconstructed by employing the base matrices from different tasks. Support Vector Machine and Extreme Learning Machine classifiers were used to classify the resulting weights in order to compare their performance, as well as their behaviors as a function of synergy rank. Both algorithms showed robust and significantly higher performance, compared to two distinct randomized controls, with lower rank EMG representations, both within and between tasks/postures, supporting hypotheses of functional invariance of multi-muscle synergies. Our results suggest that this invariance could be leveraged to efficiently calibrate postures for prosthetic hand implementation by transferring learned EMG patterns from unconstrained movements to other tasks.","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":" ","pages":"1097-1100"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7430756/pdf/nihms-1613868.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38281731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Portable, Arbitrary Waveform, Multichannel Constant Current Electrotactile Stimulator. 一种便携式、任意波形、多通道恒流电触觉刺激器。

International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering Pub Date : 2017-05-01 Epub Date: 2017-08-15 DOI: 10.1109/NER.2017.8008350

Jesse Cornman, Aadeel Akhtar, Timothy Bretl

引用次数: 6

Neuronal excitability and network formation on optically transparent electrode materials. 神经元的兴奋性和在光学透明电极材料上的网络形成。

International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering Pub Date : 2017-05-01 Epub Date: 2017-08-15 DOI: 10.1109/NER.2017.8008315

Cort H Thompson, Sahar A Khan, Wasif A Khan, Wen Li, Erin K Purcell

{"title":"Neuronal excitability and network formation on optically transparent electrode materials.","authors":"Cort H Thompson, Sahar A Khan, Wasif A Khan, Wen Li, Erin K Purcell","doi":"10.1109/NER.2017.8008315","DOIUrl":"10.1109/NER.2017.8008315","url":null,"abstract":"With the advent of genetically-encoded optical tools to trigger or report neuronal activity, new designs for multielectrode arrays (MEAs) used in neural interfacing incorporate both optical and electrical modes of stimulating or recording neural activity. Likewise, the need to improve upon the biocompatibility of implanted MEAs has moved the field towards the use of softer, more compliant materials in device fabrication. However, there is limited available information on the impact of the materials used in MEAs on the function of interfaced individual neurons and neuronal networks. We assessed the responses of rat cortical neurons on optically transparent materials commonly used in the construction of \"next-generation\" devices: indium tin oxide (ITO), parylene-C, and polydimethylsiloxane (PDMS). We found that neuronal network formation and spiking responses to electrical stimulation were enhanced in neurons cultured on ITO. We observed reduced excitability and synaptic connectivity between neurons cultured on PDMS. We hypothesize that the superior conductivity of ITO and suboptimal neuronal attachment to PDMS contributed to our results.","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":"2017 ","pages":"154-157"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/NER.2017.8008315","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36598650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Continuous Force Decoding from Deep Brain Local Field Potentials for Brain Computer Interfacing. 脑深部局部场电位连续力解码的脑机接口。

International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering Pub Date : 2017-01-01 DOI: 10.1109/NER.2017.8008367

Syed A Shah, Huiling Tan, Peter Brown

{"title":"Continuous Force Decoding from Deep Brain Local Field Potentials for Brain Computer Interfacing.","authors":"Syed A Shah, Huiling Tan, Peter Brown","doi":"10.1109/NER.2017.8008367","DOIUrl":"10.1109/NER.2017.8008367","url":null,"abstract":"Current Brain Computer Interface (BCI) systems are limited by relying on neuronal spikes and decoding limited to kinematics only. For a BCI system to be practically useful, it should be able to decode brain information on a continuous basis with low latency. This study investigates if force can be decoded from local field potentials (LFP) recorded with deep brain electrodes located at the Subthalamic nucleus (STN) using data from 5 patients with Parkinson's disease, on a continuous basis with low latency. A Wiener-Cascade (WC) model based decoder was proposed using both time-domain and frequency-domain features. The results suggest that high gamma band (300-500Hz) activity, in addition to the beta (13-30Hz) and gamma band (55-90Hz) activity is the most informative for force prediction but combining all features led to better decoding performance. Furthermore, LFP signals preceding the force output by up to 1256 milliseconds were found to be predictive of the force output.","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":"2017 ","pages":"371-374"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5557341/pdf/emss-73642.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35422180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Welcome message 欢迎信息

International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering Pub Date : 2015-01-01 DOI: 10.1109/ner.2015.7146538

D. Guiraud, N. Lovell

引用次数: 0

Canonical Correlation to Estimate the Degree of Parkinsonism from Local Field Potential and Electroencephalographic Signals. 从局部场电位和脑电图信号估计帕金森病程度的典型相关。

International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering Pub Date : 2013-11-01 DOI: 10.1109/NER.2013.6695896

Teresa H Sanders, Annaelle Devergnas, Thomas Wichmann, Mark A Clements

引用次数: 9

Biological Restraint on the Izhikevich Neuron Model Essential for Seizure Modeling. 癫痫发作模型所必需的Izhikevich神经元模型的生物抑制。

International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering Pub Date : 2013-11-01 DOI: 10.1109/ner.2013.6695955

Beata Strack, Kimberle M Jacobs, Krzysztof J Cios

引用次数: 4