Title
Dominant ionic mechanisms explored in spiking and bursting using local low-dimensional reductions of a biophysically realistic model neuron.
Abstract
The large number of variables involved in many biophysical models can conceal potentially simple dynamical mechanisms governing the properties of its solutions and the transitions between them as parameters are varied. To address this issue, we extend a novel model reduction method, based on "scales of dominance," to multi-compartment models. We use this method to systematically reduce the dimension of a two-compartment conductance-based model of a crustacean pyloric dilator (PD) neuron that exhibits distinct modes of oscillation--tonic spiking, intermediate bursting and strong bursting. We divide trajectories into intervals dominated by a smaller number of variables, resulting in a locally reduced hybrid model whose dimension varies between two and six in different temporal regimes. The reduced model exhibits the same modes of oscillation as the 16 dimensional model over a comparable parameter range, and requires fewer ad hoc simplifications than a more traditional reduction to a single, globally valid model. The hybrid model highlights low-dimensional organizing structure in the dynamics of the PD neuron, and the dependence of its oscillations on parameters such as the maximal conductances of calcium currents. Our technique could be used to build hybrid low-dimensional models from any large multi-compartment conductance-based model in order to analyze the interactions between different modes of activity.
Year
DOI
Venue
2009
10.1007/s10827-008-0099-1
Journal of Computational Neuroscience
Keywords
Field
DocType
Model reduction,Compartmental modeling,Oscillations,Stomatogastric,Hybrid dynamical system
Ionic bonding,Bursting,Oscillation,Dimensional modeling,Artificial intelligence,Theta model,Neuron,Conductance,Mathematics,Machine learning
Journal
Volume
Issue
ISSN
26
1
1573-6873
Citations 
PageRank 
References 
4
0.53
10
Authors
3
Name
Order
Citations
PageRank
Robert Clewley1345.57
Cristina Soto-Treviño210214.25
Farzan Nadim36820.17