Journal of Computational Neuroscience最新文献

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Numerical simulations of one- and two-dimensional stochastic neural field equations with delay 一维和二维时滞随机神经场方程的数值模拟
IF 1.2 4区 医学
Journal of Computational Neuroscience Pub Date : 2022-05-27 DOI: 10.1007/s10827-022-00816-w
Tiago F. Sequeira, P. Lima
{"title":"Numerical simulations of one- and two-dimensional stochastic neural field equations with delay","authors":"Tiago F. Sequeira, P. Lima","doi":"10.1007/s10827-022-00816-w","DOIUrl":"https://doi.org/10.1007/s10827-022-00816-w","url":null,"abstract":"","PeriodicalId":54857,"journal":{"name":"Journal of Computational Neuroscience","volume":"50 1","pages":"299 - 311"},"PeriodicalIF":1.2,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43905192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
High-frequency stimulation induces axonal conduction block without generating initial action potentials. 高频刺激引起轴突传导阻滞,但不产生初始动作电位。
IF 1.2 4区 医学
Journal of Computational Neuroscience Pub Date : 2022-05-01 DOI: 10.1007/s10827-021-00806-4
Yihua Zhong, Jicheng Wang, Jonathan Beckel, William C de Groat, Changfeng Tai
{"title":"High-frequency stimulation induces axonal conduction block without generating initial action potentials.","authors":"Yihua Zhong,&nbsp;Jicheng Wang,&nbsp;Jonathan Beckel,&nbsp;William C de Groat,&nbsp;Changfeng Tai","doi":"10.1007/s10827-021-00806-4","DOIUrl":"https://doi.org/10.1007/s10827-021-00806-4","url":null,"abstract":"<p><p>The purpose of this modeling study is to develop a novel method to block nerve conduction by high frequency biphasic stimulation (HFBS) without generating initial action potentials. An axonal conduction model including both ion concentrations and membrane ion pumps is used to analyze the axonal response to 1 kHz HFBS. The intensity of HFBS is increased in multiple steps while maintaining the intensity at a sub-threshold level to avoid generating an action potential. Axonal conduction block by HFBS is defined as the failure of action potential propagation at the site of HFBS. The simulation analysis shows that step-increases in sub-threshold intensity during HFBS can successfully block axonal conduction without generating an initial response because the excitation threshold of the axon can be gradually increased by the sub-threshold HFBS. The mechanisms underlying the increase in excitation threshold involve changes in intracellular and extracellular sodium and potassium concentration, change in the resting potential, partial inactivation of the sodium channel and partial activation of the potassium channel by HFBS. When the excitation threshold reaches a sufficient level, an acute block occurs first and after additional sub-threshold HFBS it is followed by a post-stimulation block. This study indicates that step-increases in sub-threshold HFBS intensity induces a gradual increase in axonal excitation threshold that may allow HFBS to block nerve conduction without generating an initial response. If this finding is proven to be true in human, it will significantly impact clinical applications of HFBS to treat chronic pain.</p>","PeriodicalId":54857,"journal":{"name":"Journal of Computational Neuroscience","volume":"50 2","pages":"203-215"},"PeriodicalIF":1.2,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9035068/pdf/nihms-1785530.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9378087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Interneuronal dynamics facilitate the initiation of spike block in cortical microcircuits 神经元间动力学促进皮层微回路中尖峰阻滞的发生
IF 1.2 4区 医学
Journal of Computational Neuroscience Pub Date : 2022-04-19 DOI: 10.1007/s10827-022-00815-x
W. Stein, A. Harris
{"title":"Interneuronal dynamics facilitate the initiation of spike block in cortical microcircuits","authors":"W. Stein, A. Harris","doi":"10.1007/s10827-022-00815-x","DOIUrl":"https://doi.org/10.1007/s10827-022-00815-x","url":null,"abstract":"","PeriodicalId":54857,"journal":{"name":"Journal of Computational Neuroscience","volume":"50 1","pages":"275 - 298"},"PeriodicalIF":1.2,"publicationDate":"2022-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44167289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Local inhibition in a model of the indirect pathway globus pallidus network slows and deregularizes background firing, but sharpens and synchronizes responses to striatal input 局部抑制在间接通路白球网络模型减缓和解除背景放电,但增强和同步纹状体输入的反应
IF 1.2 4区 医学
Journal of Computational Neuroscience Pub Date : 2022-03-11 DOI: 10.1007/s10827-022-00814-y
Erick Olivares, Matthew H. Higgs, Charles J. Wilson
{"title":"Local inhibition in a model of the indirect pathway globus pallidus network slows and deregularizes background firing, but sharpens and synchronizes responses to striatal input","authors":"Erick Olivares, Matthew H. Higgs, Charles J. Wilson","doi":"10.1007/s10827-022-00814-y","DOIUrl":"https://doi.org/10.1007/s10827-022-00814-y","url":null,"abstract":"<p>The external segment of globus pallidus (GPe) is a network of oscillatory neurons connected by inhibitory synapses. We studied the intrinsic dynamic and the response to a shared brief inhibitory stimulus in a model GPe network. Individual neurons were simulated using a phase resetting model based on measurements from mouse GPe neurons studied in slices. The neurons showed a broad heterogeneity in their firing rates and in the shapes and sizes of their phase resetting curves. Connectivity in the network was set to match experimental measurements. We generated statistically equivalent neuron heterogeneity in a small-world model, in which 99% of connections were made with near neighbors and 1% at random, and in a model with entirely random connectivity. In both networks, the resting activity was slowed and made more irregular by the local inhibition, but it did not show any periodic pattern. Cross-correlations among neuron pairs were limited to directly connected neurons. When stimulated by a shared inhibitory input, the individual neuron responses separated into two groups: one with a short and stereotyped period of inhibition followed by a transient increase in firing probability, and the other responding with a sustained inhibition. Despite differences in firing rate, the responses of the first group of neurons were of fixed duration and were synchronized across cells.</p>","PeriodicalId":54857,"journal":{"name":"Journal of Computational Neuroscience","volume":"134 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138519724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Correction to: 30th Annual Computational Neuroscience Meeting: CNS*2021-Meeting Abstracts. 修正:第30届计算神经科学年会:CNS*2021 -会议摘要
IF 1.2 4区 医学
Journal of Computational Neuroscience Pub Date : 2022-03-10 DOI: 10.1007/s10827-022-00812-0
{"title":"Correction to: 30th Annual Computational Neuroscience Meeting: CNS*2021-Meeting Abstracts.","authors":"","doi":"10.1007/s10827-022-00812-0","DOIUrl":"10.1007/s10827-022-00812-0","url":null,"abstract":"","PeriodicalId":54857,"journal":{"name":"Journal of Computational Neuroscience","volume":"50 1","pages":"273"},"PeriodicalIF":1.2,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46614183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evaluating the extent to which homeostatic plasticity learns to compute prediction errors in unstructured neuronal networks 评估稳态可塑性在多大程度上学会计算非结构化神经元网络中的预测误差
IF 1.2 4区 医学
Journal of Computational Neuroscience Pub Date : 2022-02-03 DOI: 10.1007/s10827-022-00820-0
Vicky Zhu, R. Rosenbaum
{"title":"Evaluating the extent to which homeostatic plasticity learns to compute prediction errors in unstructured neuronal networks","authors":"Vicky Zhu, R. Rosenbaum","doi":"10.1007/s10827-022-00820-0","DOIUrl":"https://doi.org/10.1007/s10827-022-00820-0","url":null,"abstract":"","PeriodicalId":54857,"journal":{"name":"Journal of Computational Neuroscience","volume":"50 1","pages":"357 - 373"},"PeriodicalIF":1.2,"publicationDate":"2022-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45373329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Active intrinsic conductances in recurrent networks allow for long-lasting transients and sustained activity with realistic firing rates as well as robust plasticity. 循环神经网络中的主动固有电导允许长时间的瞬态和持续的活动,具有现实的放电率以及强大的可塑性。
IF 1.2 4区 医学
Journal of Computational Neuroscience Pub Date : 2022-02-01 DOI: 10.1007/s10827-021-00797-2
Tuba Aksoy, Harel Z Shouval
{"title":"Active intrinsic conductances in recurrent networks allow for long-lasting transients and sustained activity with realistic firing rates as well as robust plasticity.","authors":"Tuba Aksoy,&nbsp;Harel Z Shouval","doi":"10.1007/s10827-021-00797-2","DOIUrl":"https://doi.org/10.1007/s10827-021-00797-2","url":null,"abstract":"<p><p>Recurrent neural networks of spiking neurons can exhibit long lasting and even persistent activity. Such networks are often not robust and exhibit spike and firing rate statistics that are inconsistent with experimental observations. In order to overcome this problem most previous models had to assume that recurrent connections are dominated by slower NMDA type excitatory receptors. Usually, the single neurons within these networks are very simple leaky integrate and fire neurons or other low dimensional model neurons. However real neurons are much more complex, and exhibit a plethora of active conductances which are recruited both at the sub and supra threshold regimes. Here we show that by including a small number of additional active conductances we can produce recurrent networks that are both more robust and exhibit firing-rate statistics that are more consistent with experimental results. We show that this holds both for bi-stable recurrent networks, which are thought to underlie working memory and for slowly decaying networks which might underlie the estimation of interval timing. We also show that by including these conductances, such networks can be trained to using a simple learning rule to predict temporal intervals that are an order of magnitude larger than those that can be trained in networks of leaky integrate and fire neurons.</p>","PeriodicalId":54857,"journal":{"name":"Journal of Computational Neuroscience","volume":"50 1","pages":"121-132"},"PeriodicalIF":1.2,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8818023/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9162778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Electrical Propagation of Condensed and Diffuse Ions Along Actin Filaments. 凝聚离子和扩散离子沿着肌动蛋白丝的电传播
IF 1.5 4区 医学
Journal of Computational Neuroscience Pub Date : 2022-02-01 Epub Date: 2021-08-15 DOI: 10.1007/s10827-021-00795-4
Christian Hunley, Marcelo Marucho
{"title":"Electrical Propagation of Condensed and Diffuse Ions Along Actin Filaments.","authors":"Christian Hunley, Marcelo Marucho","doi":"10.1007/s10827-021-00795-4","DOIUrl":"10.1007/s10827-021-00795-4","url":null,"abstract":"<p><p>In this article, we elucidate the roles of divalent ion condensation and highly polarized immobile water molecules on the propagation of ionic calcium waves along actin filaments. We introduced a novel electrical triple layer model and used a non-linear Debye-Huckel theory with a non-linear, dissipative, electrical transmission line model to characterize the physicochemical properties of each monomer in the filament. This characterization is carried out in terms of an electric circuit model containing monomeric flow resistances and ionic capacitances in both the condensed and diffuse layers. We considered resting and excited states of a neuron using representative mono and divalent electrolyte mixtures. Additionally, we used 0.05V and 0.15V voltage inputs to study ionic waves along actin filaments in voltage clamp experiments. Our results reveal that the physicochemical properties characterizing the condensed and diffuse layers lead to different electrical conductive mediums depending on the ionic species and the neuron state. This region specific propagation mechanism provides a more realistic avenue of delivery by way of cytoskeleton filaments for larger charged cationic species. A new direct path for transporting divalent ions might be crucial for many electrical processes found in localized neuron elements such as at mitochondria and dendritic spines.</p>","PeriodicalId":54857,"journal":{"name":"Journal of Computational Neuroscience","volume":"50 1","pages":"91-107"},"PeriodicalIF":1.5,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8818025/pdf/nihms-1744571.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10650249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
30th Annual Computational Neuroscience Meeting: CNS*2021-Meeting Abstracts. 第30届计算神经科学年会:CNS*2021-会议摘要。
IF 1.2 4区 医学
Journal of Computational Neuroscience Pub Date : 2021-12-01 DOI: 10.1007/s10827-021-00801-9
{"title":"30th Annual Computational Neuroscience Meeting: CNS*2021-Meeting Abstracts.","authors":"","doi":"10.1007/s10827-021-00801-9","DOIUrl":"https://doi.org/10.1007/s10827-021-00801-9","url":null,"abstract":"","PeriodicalId":54857,"journal":{"name":"Journal of Computational Neuroscience","volume":"49 Suppl 1","pages":"3-208"},"PeriodicalIF":1.2,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8687879/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39743111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Introduction to the proceedings of the CNS*2021 meeting. CNS*2021会议议程介绍。
IF 1.2 4区 医学
Journal of Computational Neuroscience Pub Date : 2021-12-01 DOI: 10.1007/s10827-021-00805-5
Ingo Bojak, Christiane Linster, Volker Steuber
{"title":"Introduction to the proceedings of the CNS*2021 meeting.","authors":"Ingo Bojak,&nbsp;Christiane Linster,&nbsp;Volker Steuber","doi":"10.1007/s10827-021-00805-5","DOIUrl":"https://doi.org/10.1007/s10827-021-00805-5","url":null,"abstract":"","PeriodicalId":54857,"journal":{"name":"Journal of Computational Neuroscience","volume":"49 Suppl 1","pages":"1"},"PeriodicalIF":1.2,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8670880/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39725974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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