Journal of Computational Neuroscience最新文献_第7页

Improving a cortical pyramidal neuron model's classification performance on a real-world ecg dataset by extending inputs. 通过扩展输入改进皮层锥体神经元模型在真实世界心电图数据集上的分类性能。

IF 1.2 4区医学

Journal of Computational Neuroscience Pub Date : 2022-08-01 Epub Date: 2023-05-06 DOI: 10.1007/s10827-023-00851-1

Ilknur Kayikcioglu Bozkir, Zubeyir Ozcan, Cemal Kose, Temel Kayikcioglu, Ahmet Enis Cetin

引用次数: 0

Functional architecture of M1 cells encoding movement direction. M1细胞编码运动方向的功能架构。

IF 1.2 4区医学

Journal of Computational Neuroscience Pub Date : 2022-08-01 Epub Date: 2023-06-07 DOI: 10.1007/s10827-023-00850-2

Caterina Mazzetti, Alessandro Sarti, Giovanna Citti

{"title":"Functional architecture of M1 cells encoding movement direction.","authors":"Caterina Mazzetti, Alessandro Sarti, Giovanna Citti","doi":"10.1007/s10827-023-00850-2","DOIUrl":"10.1007/s10827-023-00850-2","url":null,"abstract":"In this paper we propose a neurogeometrical model of the behaviour of cells of the arm area of the primary motor cortex (M1). We will mathematically express as a fiber bundle the hypercolumnar organization of this cortical area, first modelled by Georgopoulos (Georgopoulos et al., 1982; Georgopoulos, 2015). On this structure, we will consider the selective tuning of M1 neurons of kinematic variables of positions and directions of movement. We will then extend this model to encode the notion of fragments introduced by Hatsopoulos et al. (2007) which describes the selectivity of neurons to movement direction varying in time. This leads to consider a higher dimensional geometrical structure where fragments are represented as integral curves. A comparison with the curves obtained through numerical simulations and experimental data will be presented. Moreover, neural activity shows coherent behaviours represented in terms of movement trajectories pointing to a specific pattern of movement decomposition Kadmon Harpaz et al. (2019). Here, we will recover this pattern through a spectral clustering algorithm in the subriemannian structure we introduced, and compare our results with the neurophysiological one of Kadmon Harpaz et al. (2019).","PeriodicalId":54857,"journal":{"name":"Journal of Computational Neuroscience","volume":"51 3","pages":"299-327"},"PeriodicalIF":1.2,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10404581/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10329174","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

Effect of cortical extracellular GABA on motor response 皮层细胞外GABA对运动反应的影响

IF 1.2 4区医学

Journal of Computational Neuroscience Pub Date : 2022-06-13 DOI: 10.1007/s10827-022-00821-z

O. Hoshino, M. Zheng, Y. Fukuoka

引用次数: 0

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

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, Jicheng Wang, Jonathan Beckel, William C de Groat, Changfeng Tai","doi":"10.1007/s10827-021-00806-4","DOIUrl":"https://doi.org/10.1007/s10827-021-00806-4","url":null,"abstract":"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.","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

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":"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.","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

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

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, Harel Z Shouval","doi":"10.1007/s10827-021-00797-2","DOIUrl":"https://doi.org/10.1007/s10827-021-00797-2","url":null,"abstract":"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.","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