Optimal estimation for semimartingale neuronal models

DOI10.1016/0378-3758(92)90099-EzbMath0753.62056OpenAlexW2022513887WikidataQ127676069 ScholiaQ127676069MaRDI QIDQ1200653

S. Singh

Publication date: 16 January 1993

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-3758(92)90099-e

zbMATH Keywords

consistencyasymptotic normalitysemimartingalesmaximum likelihoodneurophysiologysubthresholdquasi-least squaresconditional least squaressingle neuronoptimal estimating functionsItô-type stochastic neuronal modelslikelihood-free methodsomal-membrane potential

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Non-Markovian processes: estimation (62M09) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (3)

On the parameter estimation for diffusion models of single neuron's activities. I: Application to spontaneous activities of mesencephalic reticular formation cells in sleep and waking states ⋮ Stochastic methods for neural systems ⋮ New developments in inference for temporal stochastic processes

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