2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)最新文献_第7页

Sample Reweighting for Label Denoising of Neural Activity Data 神经活动数据标签去噪的样本重加权

2023 11th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2023-04-24 DOI: 10.1109/NER52421.2023.10123809

Dongfang Xu, Rong Chen

{"title":"Sample Reweighting for Label Denoising of Neural Activity Data","authors":"Dongfang Xu, Rong Chen","doi":"10.1109/NER52421.2023.10123809","DOIUrl":"https://doi.org/10.1109/NER52421.2023.10123809","url":null,"abstract":"Neural decoding is a powerful technique to explore the relationship between neural activities and behaviors. It often needs massive accurately labeled data to train a model for behavior prediction. However, it is not easy to obtain accurate annotations for massive data, and the label noise is sometimes inevitable and needs to be denoised first. For annotation correction, we propose a sample reweighting method to denoise noisy labels. This method utilizes a small clean validation dataset to assign weights to the training data with label noise. A deep neural network model can be trained based on the weighted training data and the validation data. Based on the neural network model, new labels can be predicted for training data to realize the label denoising. The label denoising experiment is conducted on a functional magnetic resonance imaging dataset with class imbalance. The results show that the sample reweighting method can effectively denoise labels under different annotation qualities or noise levels for each class and it outperforms the baseline methods (validation only and semi-supervised learning). The sample reweighting method can also effectively handle the class imbalance problem. The proposed method is an effective way to tackle the noisy label problem in neural decoding.","PeriodicalId":201841,"journal":{"name":"2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121631195","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

Charge Injection Enhancement Comparisons of Iridium Oxide Microelectrodes In Vitro and In Vivo Using a Portable Neurostimulator 利用便携式神经刺激器在体内和体外对氧化铱微电极进行电荷注射增强的比较

2023 11th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2023-04-24 DOI: 10.1109/NER52421.2023.10123832

Alpaslan Ersöz, Insoo Kim, M. Han

{"title":"Charge Injection Enhancement Comparisons of Iridium Oxide Microelectrodes In Vitro and In Vivo Using a Portable Neurostimulator","authors":"Alpaslan Ersöz, Insoo Kim, M. Han","doi":"10.1109/NER52421.2023.10123832","DOIUrl":"https://doi.org/10.1109/NER52421.2023.10123832","url":null,"abstract":"Microelectrodes are desired to deliver more charges to neural tissues while under electrochemical safety limits. Applying anodic bias potential during neurostimulation is a known technique for charge enhancement. Here, we investigated the levels of charge enhancement with anodic bias potential in vitro and in vivo using a custom-designed portable neurostimulator. We immersed our custom microelectrode probe in saline and measured voltage transients in response to constant current stimulation with and without a 500 mV anodic bias potential. We then inserted the same microelectrode probe into the primary motor cortex of the rat brain and measured voltage transients with the same electronics. Results showed that the charge injection capacity of the activated iridium oxide microelectrode site (with 2000 µm2 geometric surface areas (GSAs)) increased by the use of the anodic bias potentials in both in vitro and in vivo: from 10 nC/phase to 32 nC/phase for 200 µs pulse widths, and from 2 nC/phase to 8 nC/phase, respectively. Thus, the order of charge injection capacities of the four cases tested in this study is as follows (from the lowest to the highest): in vivo without anodic bias, in vivo with anodic bias, in vitro without anodic bias, and in vitro with anodic bias. This work also validated in vivo use of our new portable neurostimulator which received stimulation waveforms wirelessly.","PeriodicalId":201841,"journal":{"name":"2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"184 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121724333","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

Modeling current-distance effects on microstimulation sensitivity 模拟电流-距离对微刺激敏感性的影响

2023 11th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2023-04-24 DOI: 10.1109/NER52421.2023.10123791

Benjamin I. Ferleger, A. Richardson

{"title":"Modeling current-distance effects on microstimulation sensitivity","authors":"Benjamin I. Ferleger, A. Richardson","doi":"10.1109/NER52421.2023.10123791","DOIUrl":"https://doi.org/10.1109/NER52421.2023.10123791","url":null,"abstract":"Direct brain stimulation is used to provide artificial sensory percepts after injury to natural sensory pathways. The threshold current for neuronal activation strongly increases with neuron distance from the stimulating electrode. We hypothesized that this current-distance relationship could make perceptual thresholds susceptible to substantial variability if percepts are based on integrating the activity within very small ($< 50$ neuron) populations, as has been shown to be the case in recent work on natural sensory encoding. To test this hypothesis, we used a computational model to study current-distance effects on perceptual thresholds. We assumed population spike count was the decision variable that a downstream observer used for stimulus detection and discrimination. We derived exact decision probabilities for an ideal observer integrating the stimulus-evoked activity within any size neuronal population. A bootstrap procedure, in which neuron distances to the stimulating electrode were randomly shuffled, was used to estimate the coefficient of variation (CV) of detection and discrimination thresholds as a function of population size. As hypothesized, the dispersion of thresholds was inversely related to the population size. For 20-neuron populations previously shown to be sufficient for natural sensory encoding, the current-distance effects on detection and discrimination thresholds were substantial, with a CV of 20% and 10% respectively. The results aid interpretation of experimental studies of stimulation sensitivity, where electrode instability could produce high perceptual threshold variance in susceptible sparse encoding populations.","PeriodicalId":201841,"journal":{"name":"2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116539709","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

Assessing Temporal Variability in Fixation-Locked P300 Responses during Free-Viewing Visual Search 评估自由观看视觉搜索中锁定注视的P300反应的时间变异性

2023 11th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2023-04-24 DOI: 10.1109/NER52421.2023.10123724

Stephen M. Gordon, Vernon J. Lawhern, J. Touryan

{"title":"Assessing Temporal Variability in Fixation-Locked P300 Responses during Free-Viewing Visual Search","authors":"Stephen M. Gordon, Vernon J. Lawhern, J. Touryan","doi":"10.1109/NER52421.2023.10123724","DOIUrl":"https://doi.org/10.1109/NER52421.2023.10123724","url":null,"abstract":"The P300 is an evoked, neural response commonly studied in the visual neurosciences. However, this response has been almost exclusively studied under highly controlled laboratory conditions and not in unconstrained free-viewing visual search paradigms. This is due to a number of limiting factors associated with free-viewing visual search, such as noise induced by behavioral artifacts, lack of repeatability at the individual trial level, and the temporal uncertainty associated with the onset of the perceptual “event”. Thus, it is still an open question whether evoked responses, such as the P300, occur in these environments as readily as they occur in controlled laboratory settings. The current work builds on prior efforts that used deep convolutional neural networks to decode EEG-based P300 signals in cross-domain applications. While the prior work established that convolutional networks could decode the variability in the P300 response in evoked paradigms, here we apply this approach to decode P300-like responses during free-viewing visual search in unconstrained environments in order to estimate the temporal variability in the underlying responses. When measured with respect to fixation onset, the results show that the temporal variability for the onset of the P300-like response is nearly an order of magnitude larger than what is often observed in laboratory settings. Armed with this knowledge and approach, we believe that future work can then focus on identifying factors impacting the temporal variability in order to make analysis of such data manageable.","PeriodicalId":201841,"journal":{"name":"2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129878706","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

Assessment of Mental Stress During 240-Days Isolation and Confined Environment using EEG Signals 用脑电图信号评估240天隔离和受限环境下的精神压力

2023 11th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2023-04-24 DOI: 10.1109/NER52421.2023.10123844

Fares Al-Shargie, Saleh Al-Ameri, Abdulla Al-Hammadi, Schastlivtseva Daria Vladimirovna, U. Tariq, H. Al-Nashash

{"title":"Assessment of Mental Stress During 240-Days Isolation and Confined Environment using EEG Signals","authors":"Fares Al-Shargie, Saleh Al-Ameri, Abdulla Al-Hammadi, Schastlivtseva Daria Vladimirovna, U. Tariq, H. Al-Nashash","doi":"10.1109/NER52421.2023.10123844","DOIUrl":"https://doi.org/10.1109/NER52421.2023.10123844","url":null,"abstract":"Detecting the influence of psychological stress is particularly important in prolonged space missions in confined environment. In this study, we proposed utilizing electroencephalography (EEG), alpha amylase and behavioral measures to assess the level of mental stress during a period of 240 days of isolation and confinement. We quantified the levels of mental stress using the reaction time (RT) to stimuli, accuracy of target detection, and the functional connectivity network of the brain's electrical beta EEG signals estimated by Phase Locking Values (PLV). Our results showed that, the alpha amylase level has increased by 62% from the beginning of the mission to the end of the 240-days mission. This indicates that isolation and confinement contributes to elevation of mental stress. The functional connectivity network showed a significant decrease in the information flow in the frontal regions across all subjects with statistical significance of $mathbf{p} < boldsymbol{0.05}$. Meanwhile, the behavioral data showed no differences from the beginning to the end of the 240-days mission, which could be due to the short data recording time of 10 minutes during each experiment time. The overall results suggested that the frontal beta EEG connectivity can be used as a potential biomarker for detecting elevated stress in isolation and confined environment.","PeriodicalId":201841,"journal":{"name":"2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130184793","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

Exploring reconstruction of motor and sensory function through targeted reinnervation in rat mode 大鼠模式下定向神经再支配对运动和感觉功能重建的探索

2023 11th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2023-04-24 DOI: 10.1109/NER52421.2023.10123848

Yuxin Ma, Chunxiao Tang, Guangfa Xiang, L. Yang

引用次数: 0

The analysis of electroneurographic and electromyographic activity recorded in the medial nerve of a transhumeral amputee during phantom finger movements 经肱骨截肢者幻指运动时内侧神经的神经电图和肌电图活动分析

2023 11th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2023-04-24 DOI: 10.1109/NER52421.2023.10123783

Gurgen Soghoyan, A. Biktimirov, N. Piliugin, Ilya Chekh, Y. Matvienko, M. Sintsov, M. Lebedev

{"title":"The analysis of electroneurographic and electromyographic activity recorded in the medial nerve of a transhumeral amputee during phantom finger movements","authors":"Gurgen Soghoyan, A. Biktimirov, N. Piliugin, Ilya Chekh, Y. Matvienko, M. Sintsov, M. Lebedev","doi":"10.1109/NER52421.2023.10123783","DOIUrl":"https://doi.org/10.1109/NER52421.2023.10123783","url":null,"abstract":"The control of bionic prostheses for upper-limb amputees is often conducted under electromyographic (EMG) control, where enacting individual finger movements presents a significant challenge. With the development of neuroprosthetical systems based on peripheral-nerve implants, electrical activity of the afferent and efferent nerve fibers can be employed to improve decoding and control. Notwithstanding these developments, it is still poorly understood how electroneurographic (ENG) recordings could be applied for neuroprosthetic motor control and what the relevant decoding algorithms would be. Here we show that mental efforts applied to perform movements of phantom fingers of a transhumeral amputee could be represented as ENG activity and assessed with time-frequency analysis. Participant who underwent implantation in peripheral nerves for the phantom limb pain treatment underwent an experiment performing 7 gestures including movements of each phantom finger independently. Our intrafascicular recording from the medial nerve showed that ENG power increased in the frequency range from 100 to 500 Hz for the movements of phantom index, middle and ring fingers. Using EMG recorded in the areas of electrode implantation in a residual limb as a control, we concluded that the ENG activity could not be always explained as an effect of overt movements but could be related to a more sophisticated mechanism instead.","PeriodicalId":201841,"journal":{"name":"2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132225154","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

A Subject-Adaptive Brain State Decoding Model via Ensemble Transfer Learning 基于集成迁移学习的主体自适应脑状态解码模型

2023 11th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2023-04-24 DOI: 10.1109/NER52421.2023.10123889

Fulin Wei, Tianyuan Jia, Ziyu Li, Zhaodi Pei, Xia Wu

{"title":"A Subject-Adaptive Brain State Decoding Model via Ensemble Transfer Learning","authors":"Fulin Wei, Tianyuan Jia, Ziyu Li, Zhaodi Pei, Xia Wu","doi":"10.1109/NER52421.2023.10123889","DOIUrl":"https://doi.org/10.1109/NER52421.2023.10123889","url":null,"abstract":"The cross-subject variability poses a great challenge to the practical application of the brain state decoding model. Although many transfer learning methods have been used to solve this problem, most of them directly combine existing subjects into a mixed source domain, ignoring the differences among multiple existing subjects. It's hard to align the target subject's data with the mixed source domain. Thus, we aim to reduce the cross-subject variability among different subjects and make full use of the rich information from them. We propose an ensemble transfer learning (ETL) method based on transfer joint matching to construct a subject-adaptive decoding model in an ensemble fashion. ETL can reduce the differences between the pairs of subjects, as well as the differences among multiple existing subjects. We found that many-to-one scheme could improve the performance with more data from multiple existing subjects, compared with one-to-one scheme, while the standard deviations of one-to-one schemes were much smaller. Moreover, the results of comparison methods and ablation experiments proved the effectiveness of our ETL method to decode brain state.","PeriodicalId":201841,"journal":{"name":"2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134466484","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

Impact of Tip Size and Shape on the Insertion Force of Implantable CMOS Neural Probes 尖端尺寸和形状对植入式CMOS神经探针插入力的影响

2023 11th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2023-04-24 DOI: 10.1109/NER52421.2023.10123886

A. Perna, J. F. Ribeiro, G. Orbán, M. Vincenzi, F. Boi, G. Angotzi, L. Berdondini

{"title":"Impact of Tip Size and Shape on the Insertion Force of Implantable CMOS Neural Probes","authors":"A. Perna, J. F. Ribeiro, G. Orbán, M. Vincenzi, F. Boi, G. Angotzi, L. Berdondini","doi":"10.1109/NER52421.2023.10123886","DOIUrl":"https://doi.org/10.1109/NER52421.2023.10123886","url":null,"abstract":"Tissue penetrating neural probes implementing high-density microelectrode arrays constitute a key tool of modern neuroscience. One of the main limitations of current probes to achieve chronically stable intracortical neural interfacing, is the biological reaction that they onset in the brain. Such foreign body reaction (FBR) is initiated by the mechanical tissue damage that the probes cause during their insertion, which is expected to be correlated with the force required to perform the implantation. One potential strategy to improve the integration of tissue penetrating high-density neural probes within brain tissue is to optimize their size and geometry in order to minimize acute tissue damage and Blood Brain Barrier (BBB) disruption. This strategy is foreseen to yield a more favorable postsurgical environment, reducing the extent of FBR in a chronic setting. In this context, the force required for the insertion of tissue penetrating neural probes can be used as an objective metric to assess the extent of acute tissue damage they induce. This paper reports preliminary findings on the impact of Complementary Metal Oxide Semiconductor (CMOS) probe geometrical parameters on insertion force, with a particular focus on the importance of tip size and shape on the dimpling of brain tissue before penetration.","PeriodicalId":201841,"journal":{"name":"2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134576814","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

Identifying Mild Traumatic Brain Injury via Vision Transformer and Bag of Visual Features 利用视觉变换器和视觉特征袋识别轻度颅脑损伤

2023 11th International IEEE/EMBS Conference on Neural Engineering (NER) Pub Date : 2023-04-24 DOI: 10.1109/NER52421.2023.10123771

Fatemeh Koochaki, L. Najafizadeh

{"title":"Identifying Mild Traumatic Brain Injury via Vision Transformer and Bag of Visual Features","authors":"Fatemeh Koochaki, L. Najafizadeh","doi":"10.1109/NER52421.2023.10123771","DOIUrl":"https://doi.org/10.1109/NER52421.2023.10123771","url":null,"abstract":"Due to lack of established criteria and reliable biomarkers, timely diagnosis of mild traumatic brain injury (mTBI) has remained a challenging problem. Widefield optical imaging of cortical activity in animals provides a unique opportunity to study injury-induced alterations of brain function. Motivated by the results of medical-imaging studies that employ patch-level-based approaches, this paper proposes to use two patch-based deep learning techniques for classifying brain images of mTBI and healthy Thyl-GCaMP6s transgenic mice. The first approach uses a Bag of Visual Word (BoVW) technique to represent each image as a histogram of local features derived from patches from all training data. The local features are extracted using an unsupervised convolutional autoencoder (CAE). The second approach employs a pre-trained vision transformer (ViT) model. The average accuracy for classifying mTBI and healthy brains for the CAE-BoVW and the ViT are 96.8% and 97.78%, respectively, outperforming results of a convolutional neural network (CNN) model. This work suggests that attention-based models can be utilized for the problem of classifying mTBI and healthy brain images.","PeriodicalId":201841,"journal":{"name":"2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134318377","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