Fitting of spatio-temporal receptive fields by sums of Gaussian components

机译：用高斯分量之和拟合时空接受域

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In previous work we have shown that the spatio-temporal tuning functions can often be envisaged as a superposition of several amplitude-modulated spatial components, each resulting from a particular synaptic pathway between cell classes contributing to the response. The present work investigates this possibility by fitting sums of Gaussians to tuning curves simulated by neural field models. The time-course of fitted amplitudes and component tunings is shown to provide information about the contribution of input and recurrent synaptic connections to cortical tuning.

机译：在先前的工作中，我们已经表明时空调整功能通常可以设想为几个幅度调制的空间分量的叠加，每个分量都是由有助于响应的细胞类别之间的特定突触途径产生的。本工作通过将高斯总和与神经场模型模拟的调整曲线拟合来研究这种可能性。所示的拟合幅度和分量调整的时程可提供有关输入和递归突触连接对皮质调整的贡献的信息。

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来源
《Computational Neuroscience Meeting(CNS03); 20030705-09; Alicante(ES)》|2003年|P.929-934|共6页
会议地点 Alicante(ES)
作者
Thomas Wennekers; Katrin Suder;
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作者单位

Centre for Theoretical and Computational Neuroscience, Plymouth Institute of Neuroscience, University of Plymouth, Portland Square, Room 218, Drake Circus, Plymouth PL4 8AA, UK;

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会议组织
原文格式 PDF
正文语种 eng
中图分类生理学;
关键词
receptive fields; spatio-temporal tuning; field model; fitting method;

机译：接受场;时空调谐;场模型;拟合方法;
入库时间 2022-08-26 14:29:48

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1. Fitting of spatio-temporal receptive fields by sums of Gaussian components [J] . Thomas Wennekers, Katrin Suder Neurocomputing . 2004,第期

机译：用高斯分量之和拟合时空接受域
2. Separation of Spatio-Temporal Receptive Fields into Sums of Gaussian Components [J] . THOMAS WENNEKERS Journal of Computational Neuroscience . 2004,第1期

机译：时空感受场分离为高斯分量和
3. Interpolation of spatial and spatio-temporal Gaussian fields using Gaussian Markov random fields [J] . L. Fontanella, L. Ippoliti, R. J. Martin, Advances in Data Analysis and Classification . 2008,第1期

机译：使用高斯马尔可夫随机场对空间和时空高斯场进行插值
4. Fitting of spatio-temporal receptive fields by sums of Gaussian components [C] . Thomas Wennekers, Katrin Suder Computational Neuroscience Meeting . 2004

机译：通过高斯组件的总和拟合时空接收领域
5. A competitive Gaussian model and linear regression technique for modeling MST neuron receptive field responses for primate perception of self-motion. [D] . Robble, Jeffrey. 2010

机译：竞争性高斯模型和线性回归技术，用于为灵长类动物自我运动感知建模MST神经元感受野响应。
6. Two-dimensional modeling of visual receptive fields using Gaussian subunits. [O] . R E Soodak 1986

机译：使用高斯亚基对视域进行二维建模。
7. Modelling the spatio-temporal modulation response of ganglion cells with difference-of-Gaussians receptive fields: Relation to photoreceptor response kinetics [O] . Donner, K., Hemilä, S. 1996

机译：用高斯差异感受野模拟神经节细胞的时空调制响应：与感光反应动力学的关系

Fitting of spatio-temporal receptive fields by sums of Gaussian components

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