%0 Journal Article %1 Ekeberg:1991p44914 %A Ekeberg, O %A Wallén, P %A Lansner, A %A Tr\aavén, H %A Brodin, L %A Grillner, S %D 1991 %J Biol Cybern %K Computer Nerve Net Neurons, Simulation, Synapses, %N 2 %P 81--90 %T A computer based model for realistic simulations of neural networks. I. The single neuron and synaptic interaction %V 65 %X The use of computer simulations as a neurophysiological tool creates new possibilities to understand complex systems and to test whether a given model can explain experimental findings. Simulations, however, require a detailed specification of the model, including the nerve cell action potential and synaptic transmission. We describe a neuron model of intermediate complexity, with a small number of compartments representing the soma and the dendritic tree, and equipped with Na+, K+, Ca2+, and Ca2+ dependent K+ channels. Conductance changes in the different compartments are used to model conventional excitatory and inhibitory synaptic interactions. Voltage dependent NMDA-receptor channels are also included, and influence both the electrical conductance and the inflow of Ca2+ ions. This neuron model has been designed for the analysis of neural networks and specifically for the simulation of the network generating locomotion in a simple vertebrate, the lamprey. By assigning experimentally established properties to the simulated cells and their synapses, it has been possible to verify the sufficiency of these properties to account for a number of experimental findings of the network in operation. The model is, however, sufficiently general to be useful for realistic simulation also of other neural systems.

@article{Ekeberg:1991p44914, abstract = {The use of computer simulations as a neurophysiological tool creates new possibilities to understand complex systems and to test whether a given model can explain experimental findings. Simulations, however, require a detailed specification of the model, including the nerve cell action potential and synaptic transmission. We describe a neuron model of intermediate complexity, with a small number of compartments representing the soma and the dendritic tree, and equipped with Na+, K+, Ca2+, and Ca2+ dependent K+ channels. Conductance changes in the different compartments are used to model conventional excitatory and inhibitory synaptic interactions. Voltage dependent NMDA-receptor channels are also included, and influence both the electrical conductance and the inflow of Ca2+ ions. This neuron model has been designed for the analysis of neural networks and specifically for the simulation of the network generating locomotion in a simple vertebrate, the lamprey. By assigning experimentally established properties to the simulated cells and their synapses, it has been possible to verify the sufficiency of these properties to account for a number of experimental findings of the network in operation. The model is, however, sufficiently general to be useful for realistic simulation also of other neural systems.}, added-at = {2009-11-12T16:21:13.000+0100}, affiliation = {Department of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.}, author = {Ekeberg, O and Wall{\'e}n, P and Lansner, A and Tr{\aa}v{\'e}n, H and Brodin, L and Grillner, S}, biburl = {https://www.bibsonomy.org/bibtex/2735b0d2df0fa79eb967d1aa2ee3ee1b5/fdiehl}, date-added = {2009-09-23 23:13:24 +0200}, date-modified = {2009-11-10 09:44:57 +0100}, description = {bib-komplett}, interhash = {8c53e895878e73216dd86925c1c1ac11}, intrahash = {735b0d2df0fa79eb967d1aa2ee3ee1b5}, journal = {Biol Cybern}, keywords = {Computer Nerve Net Neurons, Simulation, Synapses,}, language = {eng}, local-url = {file://localhost/Neurobio/Papers/1912005.pdf}, month = Jan, number = 2, pages = {81--90}, pmid = {1912005}, rating = {0}, timestamp = {2009-11-12T16:21:23.000+0100}, title = {A computer based model for realistic simulations of neural networks. I. The single neuron and synaptic interaction}, uri = {papers://7B65697B-E216-4648-8A41-C67830C0DC73/Paper/p44914}, volume = 65, year = 1991 }