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» State and Parameter Estimation for Canonic Models of Neural ...
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IJNS
2010
50views more  IJNS 2010»
13 years 4 months ago
State and Parameter Estimation for Canonic Models of Neural oscillators
Ivan Tyukin, Erik Steur, Henk Nijmeijer, David Fai...
IJCNN
2006
IEEE
14 years 1 days ago
Computational Neurogenetic Modeling: A Methodology to Study Gene Interactions Underlying Neural Oscillations
—We present new results from Computational Neurogenetic Modeling to aid discoveries of complex gene interactions underlying oscillations in neural systems. Interactions of genes ...
Lubica Benuskova, Simei Gomes Wysoski, Nikola K. K...
IJON
2007
91views more  IJON 2007»
13 years 5 months ago
Dynamics of parameters of neurophysiological models from phenomenological EEG modeling
We investigate a recently proposed method for the analysis of oscillatory patterns in EEG data, with respect to its capacity of further quantifying processes on slower (< 1 Hz)...
E. Olbrich, Thomas Wennekers
JCNS
2010
103views more  JCNS 2010»
13 years 24 days ago
Efficient computation of the maximum a posteriori path and parameter estimation in integrate-and-fire and more general state-spa
A number of important data analysis problems in neuroscience can be solved using state-space models. In this article, we describe fast methods for computing the exact maximum a pos...
Shinsuke Koyama, Liam Paninski
ICASSP
2011
IEEE
12 years 9 months ago
Joint modeling of observed inter-arrival times and waveform data with multiple hidden states for neural spike-sorting
We present a novel, maximum likelihood framework for automatic spike-sorting based on a joint statistical model of action potential waveform shape and inter-spike interval duratio...
Brett Matthews, Mark Clements