Name
Abstract | ||
|---|---|---|
In the paper, based on the model reduction theory of neurodynamics and the polynomial regression algorithm, the nine-dimension one-compartment complex model of CA1 pyramid neuron developed by David[J Neurophysiol, 2006, 96: 1912-1926] is reduced by computer simulation, and the two-dimension reduced neuron model is obtained. This investigation provides a simple and convenient method to reduce the high dimension complex neuron model. And it is helpful to investigate deeply the high dimension complex neuron model's dynamic characteristics and functions by the neurodynamic theory. © 2012 IEEE. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ICNC.2012.6234537 | ICNC |
Keywords | Field | DocType |
algorithm,neurodynamics,reduced neuron model,simulation,regression analysis,two dimensions,neurophysiology,computer simulation,neural nets,polynomials,mathematical model,polynomial regression | Biological neuron model,Polynomial,Neurophysiology,Computer science,Polynomial regression,Algorithm,Pyramid,Artificial intelligence,Neuron,Artificial neural network,Hippocampal formation,Machine learning | Conference |
Volume | Issue | Citations |
null | null | 1 |
PageRank | References | Authors |
0.63 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoying He | 1 | 2 | 3.02 |
| Yueping Peng | 2 | 6 | 3.75 |
| Haiqing Gao | 3 | 1 | 0.96 |