Name
Abstract | ||
|---|---|---|
In this paper we present a neuron model based on the description of biophysical mechanisms combined with a regulatory mechanism from control theory. The aim of this work is to provide a neuron model that is capable of describing the main features of biological neurons such as maintaining an equilibrium potential using the NaK-ATPase and the generation of action potentials as well as to provide an estimation of the energy consumption of a single cell in a) quiescent mode (or equilibrium state) and b) firing state, when excited by other neurons. The same mechanism has also been used to model the synaptic excitation used in the simulated system. |
Year | Venue | Keywords |
|---|---|---|
2007 | ICANN (1) | equilibrium potential,neuron model,biophysical mechanism,control approach,main feature,energy consumption,control theory,regulatory mechanism,action potential,biological neuron,equilibrium state,biophysical neuron model |
Field | DocType | Volume |
Excited state,Biological neuron model,Relative permeability,Pattern recognition,Biological system,Control theory,Computer science,Models of neural computation,Excitation,Artificial intelligence,Energy consumption,Thermodynamic equilibrium | Conference | 4668 |
ISSN | ISBN | Citations |
0302-9743 | 3-540-74689-7 | 0 |
PageRank | References | Authors |
0.34 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tim Kaulmann | 1 | 5 | 2.92 |
| Axel Löffler | 2 | 1 | 1.38 |
| U. Rückert | 3 | 755 | 103.61 |