Neural ensemble states in prefrontal cortex identified using a hidden Markov model with a modified EM algorithm

DOI10.1016/S0925-2312(00)00266-6zbMath1183.60027OpenAlexW2011889641WikidataQ59558761 ScholiaQ59558761MaRDI QIDQ556700

Earl K. Miller, George Rainer

Publication date: 22 June 2005

Published in: Neurocomputing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0925-2312(00)00266-6

zbMATH Keywords

HMMhidden Markov modelEMelectrophysiologyestimation-maximization algorithm

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Neural networks for/in biological studies, artificial life and related topics (92B20) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20)

Related Items (2)

Attractor-state itinerancy in neural circuits with synaptic depression ⋮ Neural Representation of Spatial Topology in the Rodent Hippocampus

This page was built for publication: Neural ensemble states in prefrontal cortex identified using a hidden Markov model with a modified EM algorithm