Name
Title | ||
|---|---|---|
Oscillation-Based Slime Mould Electronic Circuit Model for Maze-Solving Computations. |
Abstract | ||
|---|---|---|
The ability of slime mould to learn and adapt to periodic changes in its environment inspired scientists to develop behavioral memristor-based circuit models of its memory organization. The computing abilities of slime mould Physarum polycephalum have been used in several applications, including to solve mazes. This work presents a circuit-level bio-inspired maze-solving approach via an electronic... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TCSI.2016.2566278 | IEEE Transactions on Circuits and Systems I: Regular Papers |
Keywords | Field | DocType |
Integrated circuit modeling,Computational modeling,Adaptation models,Biological system modeling,Electronic circuits,Electron tubes | Memristor,Physarum,Shortest path problem,Control theory,Electronic engineering,Slime mold,Memory organisation,Electronic circuit,Mathematics,Computation,Physarum polycephalum | Journal |
Volume | Issue | ISSN |
64 | 6 | 1549-8328 |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vasileios G. Ntinas | 1 | 16 | 6.78 |
| Ioannis Vourkas | 2 | 99 | 16.26 |
| G. Ch. Sirakoulis | 3 | 132 | 14.36 |
| andrew adamatzky | 4 | 1180 | 163.89 |