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

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Spiking Neural Network Decoder for Brain-Machine Interfaces. 脑机接口的脉冲神经网络解码器。
Julie Dethier, Vikash Gilja, Paul Nuyujukian, Shauki A Elassaad, Krishna V Shenoy, Kwabena Boahen
{"title":"Spiking Neural Network Decoder for Brain-Machine Interfaces.","authors":"Julie Dethier,&nbsp;Vikash Gilja,&nbsp;Paul Nuyujukian,&nbsp;Shauki A Elassaad,&nbsp;Krishna V Shenoy,&nbsp;Kwabena Boahen","doi":"10.1109/NER.2011.5910570","DOIUrl":"https://doi.org/10.1109/NER.2011.5910570","url":null,"abstract":"<p><p>We used a spiking neural network (SNN) to decode neural data recorded from a 96-electrode array in premotor/motor cortex while a rhesus monkey performed a point-to-point reaching arm movement task. We mapped a Kalman-filter neural prosthetic decode algorithm developed to predict the arm's velocity on to the SNN using the Neural Engineering Framework and simulated it using <i>Nengo</i>, a freely available software package. A 20,000-neuron network matched the standard decoder's prediction to within 0.03% (normalized by maximum arm velocity). A 1,600-neuron version of this network was within 0.27%, and run in real-time on a 3GHz PC. These results demonstrate that a SNN can implement a statistical signal processing algorithm widely used as the decoder in high-performance neural prostheses (Kalman filter), and achieve similar results with just a few thousand neurons. Hardware SNN implementations-neuromorphic chips-may offer power savings, essential for realizing fully-implantable cortically controlled prostheses.</p>","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/NER.2011.5910570","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31968953","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: 15
Thalamic bursts mediate pattern recognition 丘脑爆发介导模式识别
M. Jändel
{"title":"Thalamic bursts mediate pattern recognition","authors":"M. Jändel","doi":"10.1109/NER.2009.5109358","DOIUrl":"https://doi.org/10.1109/NER.2009.5109358","url":null,"abstract":"A new functional model for burst firing in the dorsal thalamus is proposed where thalamocortical pattern recognition systems, based on kernel machine principles, are connected by burst signaling. The systems include input trapping in the dorsal thalamus, cortical learning state memory and processing in the thalamic reticular nucleus. Misclassified events are captured as training examples in the waking state and the pattern recognition systems are trained by extensive thalamic bursting in deep sleep.","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":"43 1","pages":"562-565"},"PeriodicalIF":0.0,"publicationDate":"2009-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75651835","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
Application of Matched-Filtering to Extract EEG Features and Decouple Signal Contributions from Multiple Seizure Foci in Brain Malformations. 应用匹配滤波提取脑电信号特征并解耦脑畸形中多个癫痫病灶的信号贡献。
Catherine Stamoulis, Bernard S Chang
{"title":"Application of Matched-Filtering to Extract EEG Features and Decouple Signal Contributions from Multiple Seizure Foci in Brain Malformations.","authors":"Catherine Stamoulis, Bernard S Chang","doi":"10.1109/NER.2009.5109346","DOIUrl":"10.1109/NER.2009.5109346","url":null,"abstract":"<p><p>Developmental brain malformations often cause intractable and in many cases generalized and/or multifocal seizures. Surgical intervention is not possible in these cases as it is difficult to isolate the epileptogenic foci. Scalp EEG signals recorded during such seizures include coupled contributions from different sources. If it was possible to decouple these contributions based on differences in both their signatures and inter-arrival times at different electrodes, it would subsequently be possible to estimate the locations of the seizure foci. For this purpose, we applied matched filtering to scalp EEG data from 3 patients with multifocal seizures, using patient-specific source-related short EEG segments as the template waveforms. These segments were assumed to be seizure-related based on distinct sets of inter-arrival times at different channels and alternating signal polarities. We present preliminary results and demonstrate that matched filtering can be successfully applied to extract decoupled signal components from the EEG, generated by potentially distinct sources, and thus with distinct inter-arrival times but partially overlapping spectra.</p>","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":"2009 ","pages":"514-517"},"PeriodicalIF":0.0,"publicationDate":"2009-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2860141/pdf/nihms115146.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"28958863","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
In Vivo Application of Electrical Rejuvenation Pulses to Chronically Implanted Neural Macroelectrodes in Nonhuman Primates for Regulation of Interface Properties 在非人类灵长类动物长期植入的神经大电极上应用电恢复脉冲调节界面特性
K. P. O'Sullivan, J. Baker, B. Philip, M. Orazem, K. Otto, C. Butson
{"title":"In Vivo Application of Electrical Rejuvenation Pulses to Chronically Implanted Neural Macroelectrodes in Nonhuman Primates for Regulation of Interface Properties","authors":"K. P. O'Sullivan, J. Baker, B. Philip, M. Orazem, K. Otto, C. Butson","doi":"10.1109/NER52421.2023.10123750","DOIUrl":"https://doi.org/10.1109/NER52421.2023.10123750","url":null,"abstract":"Chronically implanted neural electrodes have become an increasingly important tool in both research and clinical applications, where long-term viability and stability of the electrode-tissue interface (ETI) may be a critical factor in device performance. However, chronic implantation of electrodes in brain tissue typically results in distinct changes to the electrode-tissue interface (ETI), observed as a semicircular arc “tissue component” in Nyquist plots of electrochemical impedance spectroscopy (EIS) measurements. These alterations to electrode-tissue interface properties can interfere with electrode recording characteristics, increase stimulation thresholds, and may create unpredictable behavior in closed-loop applications where neural recordings are used as a control signal. Previous work1,2has demonstrated the potential for direct-current electrical rejuvenation to reduce the impact of “tissue component” impedance on measured EIS spectra in microelectrodes chronically implanted in rodents. Our aim here is to further investigate this phenomenon using macroelectrodes in nonhuman primates (NHPs). Scaled versions of human deep brain stimulation (DBS) and electrocorticography (ECoG) electrodes were chronically implanted in an adult male rhesus macaque nonhuman primate. Both direct-current and alternating-current electrical rejuvenation pulses were found to be sufficiently effective at reducing the appearance of “tissue component” in EIS measurements and dropping impedance, with further investigation needed to determine optimal parameters.","PeriodicalId":73414,"journal":{"name":"International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering","volume":"34 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73596748","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
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