دورية أكاديمية
Variational log-Gaussian point-process methods for grid cells.
| العنوان: | Variational log-Gaussian point-process methods for grid cells. |
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| المؤلفون: | Rule ME; Engineering Department, University of Cambridge, Cambridge, UK., Chaudhuri-Vayalambrone P; Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK., Krstulovic M; Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK., Bauza M; Sainsbury Wellcome Centre, University College London, London, UK., Krupic J; Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK., O'Leary T; Engineering Department, University of Cambridge, Cambridge, UK. |
| المصدر: | Hippocampus [Hippocampus] 2023 Dec; Vol. 33 (12), pp. 1235-1251. Date of Electronic Publication: 2023 Sep 25. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Wiley Country of Publication: United States NLM ID: 9108167 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1098-1063 (Electronic) Linking ISSN: 10509631 NLM ISO Abbreviation: Hippocampus Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: New York, NY : Wiley Original Publication: New York, NY : Churchill Livingstone, c1991- |
| مواضيع طبية MeSH: | Grid Cells*, Bayes Theorem ; Normal Distribution |
| مستخلص: | We present practical solutions to applying Gaussian-process (GP) methods to calculate spatial statistics for grid cells in large environments. GPs are a data efficient approach to inferring neural tuning as a function of time, space, and other variables. We discuss how to design appropriate kernels for grid cells, and show that a variational Bayesian approach to log-Gaussian Poisson models can be calculated quickly. This class of models has closed-form expressions for the evidence lower-bound, and can be estimated rapidly for certain parameterizations of the posterior covariance. We provide an implementation that operates in a low-rank spatial frequency subspace for further acceleration, and demonstrate these methods on experimental data. (© 2023 The Authors. Hippocampus published by Wiley Periodicals LLC.) |
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| معلومات مُعتمدة: | United Kingdom WT_ Wellcome Trust; 206682/Z/17/Z United Kingdom WT_ Wellcome Trust; United Kingdom MRC_ Medical Research Council; 716643 International ERC_ European Research Council |
| فهرسة مساهمة: | Keywords: Gaussian process; grid cells; point process; spatial statistics; variational Bayesian inference |
| تواريخ الأحداث: | Date Created: 20230926 Date Completed: 20231127 Latest Revision: 20240328 |
| رمز التحديث: | 20240329 |
| مُعرف محوري في PubMed: | PMC10962565 |
| DOI: | 10.1002/hipo.23577 |
| PMID: | 37749821 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1098-1063 |
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| DOI: | 10.1002/hipo.23577 |