Name
Abstract | ||
|---|---|---|
During embryonic morpho-genesis, a collection of individual neurons turns into a functioning network with unique capabilities. We proposed a navigational strategy for neurite growth cones, based on chemical signaling. The model incorporates stationary units representing the cells, and walkers representing the growth cones. The walkers migrate in response to chemotactic substances emitted by the cells. The chemotactic responses of the walker is determined by the dynamics of the walker's internal energy. We further propose that the embryonic environment acts as an excitable media in which chemical waves are formed and provide a mechanism for regulation and navigation over long distances. (C) 2001 Elsevier Science B.V. Ah rights reserved. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1016/S0925-2312(01)00369-1 | NEUROCOMPUTING |
Keywords | Field | DocType |
chemical waves,internal energy,self-wiring,neural networks | Growth cone,Pattern recognition,Biological system,Internal energy,Neurite growth,Artificial intelligence,Artificial neural network,Mathematics | Journal |
Volume | ISSN | Citations |
38 | 0925-2312 | 0 |
PageRank | References | Authors |
0.34 | 2 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ronen Segev | 1 | 42 | 6.72 |
| Eshel Ben Jacob | 2 | 4 | 1.23 |