Butera
J
R
1515
Intrinsic Bursters Increase the Robustness of Rythm Generation in an Excitatory Network
1526
97
Geoffrey
Nunns
Rogan
Intrinsic Bursters Increase the Robustness of Rythm Generation in an Excitatory Network: Single Non-Pacemaker Cell
Fixed "not exactly equivalent but dimensionally equivalent" errors.
neuron
pacemaker
electrophysiology
neurobiology
electrophysiology
neurobiology
pacemaker
neuron
C
Jeffrey
Smith
This CellML model is known to run in both PCEnv and COR, the units have been checked and are consistent. The CellML model can recreate the published results for the single cell. However, in addition to the single cell model, this publication also describes a multicellular network, and it uses the simulation results from this model as a basis for its figures. Alone, CellML can not describe this kind of model. Instead we will need to embed the current CellML model within a FieldML or openCMISS framework (or other such modelling frameworks) in order to fully implement the multicellular network description.
gnunns1@jhem.jhu.edu
Intrinsic Bursters Increase the Robustness of Rythm Generation in an Excitatory Network: Single Pacemaker Cell
c.lloyd@auckland.ac.nz
keyword
C
Smith
J
The University of Auckland
Auckland Bioengineering Institute
Robert
Butera
J
Liston
K
Purvis
17167061
2007-00-00 00:00
17167061
100000
10000
Auckland Bioengineering Institute
The University of Auckland
Purvis
K
L
2008-07-17T00:00:00+00:00
Geoffrey
Rogan
Nunns
keyword
Koizumi
H
97
Intrinsic Bursters Increase the Robustness of Rythm Generation in an Excitatory Network
1526
1515
Journal of Neurophysiology
H
Koizumi
Geoff Nunns
2008-07-17T14:19:05+12:00
Geoff Nunns
This CellML model is known to run in both PCEnv and COR, the units have been checked and are consistent. The CellML model can recreate the published results for the single cell. However, in addition to the single cell model, this publication also describes a multicellular network, and it uses the simulation results from this model as a basis for its figures. Alone, CellML can not describe this kind of model. Instead we will need to embed the current CellML model within a FieldML or openCMISS framework (or other such modelling frameworks) in order to fully implement the multicellular network description.
Lloyd
Catherine
May
2007-02
Journal of Neurophysiology