Construction and analysis of non-Gaussian spatial models of neural spiking activity

DOI10.1016/S0925-2312(02)00365-XzbMath1007.68776OpenAlexW2086869753MaRDI QIDQ1851639

Loren M. Frank, Michael C. Quirk, Matthew A. Wilson, Riccardo Barbieri, Victor Solo

Publication date: 9 January 2003

Published in: Neurocomputing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0925-2312(02)00365-x

zbMATH Keywords

Zernike polynomialsHippocampal place cellsInhomogeneous Poisson processInterspike interval distribution

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural biology (92C20) Computing methodologies and applications (68U99)

Related Items (3)

Dynamic Analyses of Information Encoding in Neural Ensembles ⋮ A Computationally Efficient Method for Nonparametric Modeling of Neural Spiking Activity with Point Processes ⋮ Nonparametric Modeling of Neural Point Processes via Stochastic Gradient Boosting Regression

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