Pub Date : 2015-04-22DOI: 10.1109/NER.2015.7146575
Tien Pham, Wanli Ma, D. Tran, Duc Tran, Dinh Q. Phung
Electroencephalography (EEG) has been recently used as a new type of biometrics in user authentication with the advantages of being difficult to fake, impossible to observe or intercept, unique, and requiring alive person to record. However, understanding of the stability of brain responses to EEG-based authentication system while EEG is known to be sensitive to emotions is still a challenge that is addressed in this paper. Our experimental results and the related neurophysiological evidences show that some emotions should be considered to mitigate the impact of EEG signal changes on the EEG-based user authentication system in real-world applications.
{"title":"A study on the stability of EEG signals for user authentication","authors":"Tien Pham, Wanli Ma, D. Tran, Duc Tran, Dinh Q. Phung","doi":"10.1109/NER.2015.7146575","DOIUrl":"https://doi.org/10.1109/NER.2015.7146575","url":null,"abstract":"Electroencephalography (EEG) has been recently used as a new type of biometrics in user authentication with the advantages of being difficult to fake, impossible to observe or intercept, unique, and requiring alive person to record. However, understanding of the stability of brain responses to EEG-based authentication system while EEG is known to be sensitive to emotions is still a challenge that is addressed in this paper. Our experimental results and the related neurophysiological evidences show that some emotions should be considered to mitigate the impact of EEG signal changes on the EEG-based user authentication system in real-world applications.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"356 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":"123108051","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}
Pub Date : 2015-04-22DOI: 10.1109/NER.2015.7146721
Yu-Fei Zhang, Xiang-Yu Gao, Jia-Yi Zhu, Wei-Long Zheng, Bao-Liang Lu
Various studies have shown that the traditional electrooculograms (EOGs) are effective for driving fatigue detection. However, the electrode placement of the traditional EOG recording method is around eyes, which may disturb the subjects' activities, and is not convenient for practical applications. To deal with this problem, we propose a novel electrode placement on forehead and present an effective method to extract horizon electrooculogram (HEO) and vertical electrooculogram (VEO) from forehead EOG. The correlation coefficients between the extracted HEO and VEO and the corresponding traditional HEO and VEO are 0.86 and 0.78, respectively. To alleviate the inconvenience of manually labelling fatigue states, we use the videos recorded by eye tracking glasses to calculate the percentage of eye closure over time, which is a conventional indicator of driving fatigue. We use support vector machine (SVM) for regression analysis and get a rather high prediction correlation coefficient of 0.88 on average.
{"title":"A novel approach to driving fatigue detection using forehead EOG","authors":"Yu-Fei Zhang, Xiang-Yu Gao, Jia-Yi Zhu, Wei-Long Zheng, Bao-Liang Lu","doi":"10.1109/NER.2015.7146721","DOIUrl":"https://doi.org/10.1109/NER.2015.7146721","url":null,"abstract":"Various studies have shown that the traditional electrooculograms (EOGs) are effective for driving fatigue detection. However, the electrode placement of the traditional EOG recording method is around eyes, which may disturb the subjects' activities, and is not convenient for practical applications. To deal with this problem, we propose a novel electrode placement on forehead and present an effective method to extract horizon electrooculogram (HEO) and vertical electrooculogram (VEO) from forehead EOG. The correlation coefficients between the extracted HEO and VEO and the corresponding traditional HEO and VEO are 0.86 and 0.78, respectively. To alleviate the inconvenience of manually labelling fatigue states, we use the videos recorded by eye tracking glasses to calculate the percentage of eye closure over time, which is a conventional indicator of driving fatigue. We use support vector machine (SVM) for regression analysis and get a rather high prediction correlation coefficient of 0.88 on average.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"138 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":"123219782","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}
Pub Date : 2015-04-22DOI: 10.1109/NER.2015.7146749
Lizhi Pan, Dingguo Zhang, X. Sheng, Xiangyang Zhu
In this study, we analyzed the existence of rate-dependent hysteresis in the electromyography (EMG)-force relationship. Eight able-bodied subjects participated in the experiment. Surface EMG signals were acquired from flexor pollicis longus muscle from 0% to 100% maximum voluntary contraction (MVC). The subject was asked to gradually increase grasping force from 0% to 100% MVC and decrease grasping force from 100% to 0% MVC at five different frequencies (1.5, 1, 0.5, 0.25 and 0.125 Hz). Mean absolute value (MAV) was chosen to represent the EMG signals and force signals. In order to compare differences in force between contraction and relaxation periods to EMG activity among different frequency conditions, a hysteresis index (HI), defined as an area inside the hysteresis cycle, was adopted. The results showed that all mean values of HI in different frequency conditions were larger than 0, which proved that hysteresis cycles existed in all frequency conditions. The results also showed that the HI values in different frequency conditions were significantly different from each other (p <; 0.005), which proved hysteresis effects in EMG-force relationship were rate-dependent. The rate-dependent hysteresis in EMG-force relationship has a huge potential to improve the estimation performance of grasping force from EMG.
{"title":"Rate-dependent hysteresis in the EMG-force relationship: A new discovery in EMG-force relationship","authors":"Lizhi Pan, Dingguo Zhang, X. Sheng, Xiangyang Zhu","doi":"10.1109/NER.2015.7146749","DOIUrl":"https://doi.org/10.1109/NER.2015.7146749","url":null,"abstract":"In this study, we analyzed the existence of rate-dependent hysteresis in the electromyography (EMG)-force relationship. Eight able-bodied subjects participated in the experiment. Surface EMG signals were acquired from flexor pollicis longus muscle from 0% to 100% maximum voluntary contraction (MVC). The subject was asked to gradually increase grasping force from 0% to 100% MVC and decrease grasping force from 100% to 0% MVC at five different frequencies (1.5, 1, 0.5, 0.25 and 0.125 Hz). Mean absolute value (MAV) was chosen to represent the EMG signals and force signals. In order to compare differences in force between contraction and relaxation periods to EMG activity among different frequency conditions, a hysteresis index (HI), defined as an area inside the hysteresis cycle, was adopted. The results showed that all mean values of HI in different frequency conditions were larger than 0, which proved that hysteresis cycles existed in all frequency conditions. The results also showed that the HI values in different frequency conditions were significantly different from each other (p <; 0.005), which proved hysteresis effects in EMG-force relationship were rate-dependent. The rate-dependent hysteresis in EMG-force relationship has a huge potential to improve the estimation performance of grasping force from EMG.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"19 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":"123438290","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}
Pub Date : 2015-04-22DOI: 10.1109/NER.2015.7146756
Eleanor Dunn, M. Lowery
Oscillatory neural activity in the beta frequency band (12-30 Hz) is elevated in Parkinson's disease and is correlated with the associated motor symptoms. These oscillations, which can be monitored through the local field potential (LFP) recorded by a deep brain stimulation (DBS) electrode, can give insight into the mechanisms of action, as well as treatment efficacy, of DBS. A detailed physiological model of the cortico-basal ganglia network during DBS of the subthalamic nucleus (STN) is presented. The model incorporates extracellular stimulation of STN afferent fibers, with both orthodromic and antidromic activation, and the LFP detected at the electrode. Pathological beta-band oscillations within the cortico-basal ganglia network were simulated and found to be attenuated following the application of DBS. The effects of varying DBS parameters, including pulse amplitude, duration and frequency, on the LFP at the DBS electrode were then assessed. The model presented here can be further used to understand the interaction of DBS with the complex dynamics of the cortico-basal ganglia network and subsequent changes observed in the LFP.
{"title":"A model of the cortico-basal ganglia network and local field potential during deep brain stimulation","authors":"Eleanor Dunn, M. Lowery","doi":"10.1109/NER.2015.7146756","DOIUrl":"https://doi.org/10.1109/NER.2015.7146756","url":null,"abstract":"Oscillatory neural activity in the beta frequency band (12-30 Hz) is elevated in Parkinson's disease and is correlated with the associated motor symptoms. These oscillations, which can be monitored through the local field potential (LFP) recorded by a deep brain stimulation (DBS) electrode, can give insight into the mechanisms of action, as well as treatment efficacy, of DBS. A detailed physiological model of the cortico-basal ganglia network during DBS of the subthalamic nucleus (STN) is presented. The model incorporates extracellular stimulation of STN afferent fibers, with both orthodromic and antidromic activation, and the LFP detected at the electrode. Pathological beta-band oscillations within the cortico-basal ganglia network were simulated and found to be attenuated following the application of DBS. The effects of varying DBS parameters, including pulse amplitude, duration and frequency, on the LFP at the DBS electrode were then assessed. The model presented here can be further used to understand the interaction of DBS with the complex dynamics of the cortico-basal ganglia network and subsequent changes observed in the LFP.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"276 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":"124444646","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}
Pub Date : 2015-04-22DOI: 10.1109/NER.2015.7146583
Wei-Long Zheng, Hao-Tian Guo, Bao-Liang Lu
For EEG-based emotion recognition tasks, there are many irrelevant channel signals contained in multichannel EEG data, which may cause noise and degrade the performance of emotion recognition systems. In order to tackle this problem, we propose a novel deep belief network (DBN) based method for examining critical channels and frequency bands in this paper. First, we design an emotion experiment and collect EEG data while subjects are watching emotional film clips. Then we train DBN for recognizing three emotions (positive, neutral, and negative) with extracted differential entropy features as input and compare DBN with other shallow models such as KNN, LR, and SVM. The experiment results show that DBN achieves the best average accuracy of 86.08%. We further explore critical channels and frequency bands by examining the weight distribution learned by DBN, which is different from the existing work. We identify four profiles with 4, 6, 9 and 12 channels, which achieve recognition accuracies of 82.88%, 85.03%, 84.02%, 86.65%, respectively, using SVM.
{"title":"Revealing critical channels and frequency bands for emotion recognition from EEG with deep belief network","authors":"Wei-Long Zheng, Hao-Tian Guo, Bao-Liang Lu","doi":"10.1109/NER.2015.7146583","DOIUrl":"https://doi.org/10.1109/NER.2015.7146583","url":null,"abstract":"For EEG-based emotion recognition tasks, there are many irrelevant channel signals contained in multichannel EEG data, which may cause noise and degrade the performance of emotion recognition systems. In order to tackle this problem, we propose a novel deep belief network (DBN) based method for examining critical channels and frequency bands in this paper. First, we design an emotion experiment and collect EEG data while subjects are watching emotional film clips. Then we train DBN for recognizing three emotions (positive, neutral, and negative) with extracted differential entropy features as input and compare DBN with other shallow models such as KNN, LR, and SVM. The experiment results show that DBN achieves the best average accuracy of 86.08%. We further explore critical channels and frequency bands by examining the weight distribution learned by DBN, which is different from the existing work. We identify four profiles with 4, 6, 9 and 12 channels, which achieve recognition accuracies of 82.88%, 85.03%, 84.02%, 86.65%, respectively, using SVM.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"60 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":"123869507","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}
Pub Date : 2015-04-22DOI: 10.1109/NER.2015.7146566
Angelica I. Avilés, Samar M. Alsaleh, P. Sobrevilla, A. Casals
This paper addresses the issue of lack of force feedback in robotic-assisted minimally invasive surgeries. Force is an important measure for surgeons in order to prevent intra-operative complications and tissue damage. Thus, an innovative neuro-vision based force estimation approach is proposed. Tissue surface displacement is first measured via minimization of an energy functional. A neuro approach is then used to establish a geometric-visual relation and estimate the applied force. The proposed approach eliminates the need of add-on sensors, carrying out biocompatibility studies and is applicable to tissues of any shape. Moreover, we provided an improvement from 15.14% to 56.16% over other approaches which demonstrate the potential of our proposal.
{"title":"Sensorless force estimation using a neuro-vision-based approach for robotic-assisted surgery","authors":"Angelica I. Avilés, Samar M. Alsaleh, P. Sobrevilla, A. Casals","doi":"10.1109/NER.2015.7146566","DOIUrl":"https://doi.org/10.1109/NER.2015.7146566","url":null,"abstract":"This paper addresses the issue of lack of force feedback in robotic-assisted minimally invasive surgeries. Force is an important measure for surgeons in order to prevent intra-operative complications and tissue damage. Thus, an innovative neuro-vision based force estimation approach is proposed. Tissue surface displacement is first measured via minimization of an energy functional. A neuro approach is then used to establish a geometric-visual relation and estimate the applied force. The proposed approach eliminates the need of add-on sensors, carrying out biocompatibility studies and is applicable to tissues of any shape. Moreover, we provided an improvement from 15.14% to 56.16% over other approaches which demonstrate the potential of our proposal.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"14 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":"124296595","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}
Pub Date : 2015-04-22DOI: 10.1109/NER.2015.7146605
D. Rathbun, A. Jalligampala, K. Stingl, E. Zrenner
After a general consideration of the various approaches to electrical stimulation of the retina, a thorough in vitro investigation of retinal responses to voltage-controlled stimuli is discussed within the context of the Alpha IMS subretinal implant (Retina Implant AG, Reutlingen, Germany). This is supplemented by a clinical trial interim report describing results obtained in 29 patients blind from retinitis pigmentosa who have received the Alpha IMS implant. It is concluded that the surgical procedure is safe and blind patients can benefit in visual tasks of daily life with this device that has meanwhile received approval for commercial use in Europe.
{"title":"To what extent can retinal prostheses restore vision?","authors":"D. Rathbun, A. Jalligampala, K. Stingl, E. Zrenner","doi":"10.1109/NER.2015.7146605","DOIUrl":"https://doi.org/10.1109/NER.2015.7146605","url":null,"abstract":"After a general consideration of the various approaches to electrical stimulation of the retina, a thorough in vitro investigation of retinal responses to voltage-controlled stimuli is discussed within the context of the Alpha IMS subretinal implant (Retina Implant AG, Reutlingen, Germany). This is supplemented by a clinical trial interim report describing results obtained in 29 patients blind from retinitis pigmentosa who have received the Alpha IMS implant. It is concluded that the surgical procedure is safe and blind patients can benefit in visual tasks of daily life with this device that has meanwhile received approval for commercial use in Europe.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"60 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":"130009428","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}
Pub Date : 2015-04-22DOI: 10.1109/NER.2015.7146648
K. Paralikar, W. Santa, Rajesh Iyer, A. Thom, Xin Su, Erik Hovland, David A. Dinsmoor, Gordon Munns, Steve J. May, Erik R. Scott, T. Denison
A neurostimulation system consisting of a reusable, four-channel, fully-implantable rechargeable neurostimulator (INS), recharger and wireless controller is described. The intent of the system is to enable acute and chronic research with stimulation codes and patterns in rodents and large animals as a means to understand the underlying neuroscience principles responsible for neuromodulation therapy, explore improved outcomes for existing therapies and identify potential new therapies. The total volume of the INS is 3cc including the rechargeable battery, stimulation system and low volume lead connector block. Wireless telemetry is inductive and operational with up to 60 cm of separation from the controller so as to enable untethered, real-time program updates.
{"title":"A fully implantable and rechargeable neurostimulation system for animal research","authors":"K. Paralikar, W. Santa, Rajesh Iyer, A. Thom, Xin Su, Erik Hovland, David A. Dinsmoor, Gordon Munns, Steve J. May, Erik R. Scott, T. Denison","doi":"10.1109/NER.2015.7146648","DOIUrl":"https://doi.org/10.1109/NER.2015.7146648","url":null,"abstract":"A neurostimulation system consisting of a reusable, four-channel, fully-implantable rechargeable neurostimulator (INS), recharger and wireless controller is described. The intent of the system is to enable acute and chronic research with stimulation codes and patterns in rodents and large animals as a means to understand the underlying neuroscience principles responsible for neuromodulation therapy, explore improved outcomes for existing therapies and identify potential new therapies. The total volume of the INS is 3cc including the rechargeable battery, stimulation system and low volume lead connector block. Wireless telemetry is inductive and operational with up to 60 cm of separation from the controller so as to enable untethered, real-time program updates.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"53 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":"130891260","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}
Pub Date : 2015-04-22DOI: 10.1109/NER.2015.7146823
Shenglong Jiang, Long Chen, Zhongpeng Wang, Jiapeng Xu, Cheng Qi, Hongzhi Qi, Feng He, Dong Ming
Rehabilitation of motor impairment after stroke has an important medical value. However, the present stroke rehabilitation mainly are passive, its efficacy is limited. The BCI-FES system focused on the limit of passive stroke rehabilitation, combined with motor imagery (MI) and functional electrical stimulation (FES), through the pattern recognition of motor imagery mode of patients with EEG signal, generated FES signal. The BCI-FES system achieved the active rehabilitation of patients with mind-control, stimulated brain plasticity and improved rehabilitation efficacy. In this study, the BCI-FES system and clinical rehabilitation evaluation of post-stroke hemiplegia patients was investigated, and the rehabilitation efficacy showed, affected motor related cortex of patient subject was activated significantly, and motor function was further enhanced, by brain plasticity guidance of BCI-FES.
{"title":"Application of BCI-FES system on stroke rehabilitation","authors":"Shenglong Jiang, Long Chen, Zhongpeng Wang, Jiapeng Xu, Cheng Qi, Hongzhi Qi, Feng He, Dong Ming","doi":"10.1109/NER.2015.7146823","DOIUrl":"https://doi.org/10.1109/NER.2015.7146823","url":null,"abstract":"Rehabilitation of motor impairment after stroke has an important medical value. However, the present stroke rehabilitation mainly are passive, its efficacy is limited. The BCI-FES system focused on the limit of passive stroke rehabilitation, combined with motor imagery (MI) and functional electrical stimulation (FES), through the pattern recognition of motor imagery mode of patients with EEG signal, generated FES signal. The BCI-FES system achieved the active rehabilitation of patients with mind-control, stimulated brain plasticity and improved rehabilitation efficacy. In this study, the BCI-FES system and clinical rehabilitation evaluation of post-stroke hemiplegia patients was investigated, and the rehabilitation efficacy showed, affected motor related cortex of patient subject was activated significantly, and motor function was further enhanced, by brain plasticity guidance of BCI-FES.","PeriodicalId":137451,"journal":{"name":"2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)","volume":"1 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":"130902129","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}
Pub Date : 2015-04-22DOI: 10.1109/NER.2015.7146639
Narsis Salafzoon, D. Strauss, N. Hatsopoulos, Kazutaka Takahashi
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.
{"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}
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