Name
Title | ||
|---|---|---|
Mechanism-Based and Input-Output Modeling of the Key Neuronal Connections and Signal Transformations in the CA3-CA1 Regions of the Hippocampus. |
Abstract | ||
|---|---|---|
This letter examines the results of input-output (nonparametric) modeling based on the analysis of data generated by a mechanism-based (parametric) model of CA3-CA1 neuronal connections in the hippocampus. The motivation is to obtain biological insight into the interpretation of such input-output (Volterra-equivalent) models estimated from synthetic data. The insights obtained may be subsequently ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1162/neco_a_01031 | Neural Computation |
Field | DocType | Volume |
Parametric model,Nonlinear system,Experimental data,Data analysis,Computer science,Nonparametric statistics,Input/output,Parametric statistics,Synthetic data,Artificial intelligence,Machine learning | Journal | 30 |
Issue | ISSN | Citations |
1 | 0899-7667 | 1 |
PageRank | References | Authors |
0.35 | 12 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kunling Geng | 1 | 5 | 1.44 |
| Dae C Shin | 2 | 24 | 5.57 |
| Dong Song | 3 | 202 | 34.25 |
| Robert E Hampson | 4 | 105 | 12.12 |
| Sam A Deadwyler | 5 | 98 | 10.89 |
| theodore w berger | 6 | 380 | 87.26 |
| Vasilis Z Marmarelis | 7 | 21 | 4.16 |