Maze-solving by an amoeboid organism
By T. Nakagaki, H. Yamada, Á. Tóth. Nature, 2000
1,013 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Ecology, Evolution, Behavior and Systematics, Plant Science
View Paper: https://www.semanticscholar.org/paper/c9340bbd1284e478559b7ec38aff5d98ac14b923
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Yuriy V. Pershin
- Steven La Fontaine
- M. Di Ventra
- Andy Thomas
- Khaled Nabil Salama
- Mohammed Affan Zidan
In Ecology, Evolution, Behavior and Systematics
In Plant Science
- Steven La Fontaine
- M. Di Ventra
- Yuriy V. Pershin
- Andy Thomas
- Mohammed Affan Zidan
- Khaled Nabil Salama
Citations in the corpus
- Memristor-based neural networks (2013, neutral): “Reprinted by permission from [110], copyright 2000.”
- Consciousness In The Universe (2011, background): “What non-computable factor may occur in the brain? Cognitive behaviors of single cell organisms Protozoans like Physarum can escape mazes and solve problems, and Paramecium can swim, find food and mates, learn, remember and have sex, all without synaptic connections [25,26].”
- Consciousness in the universe: a review of the 'Orch OR' theory. (2014, background): “In another approach, panpsychism attributes consciousness to all matter, but without scientific identity or causal influence.”
- Memristive model of amoeba learning. (2008, methodology): “age is equal to the sum of voltage drops on each element of the circuit, and Eq. (3) is the Kirchhoff's current law at the point of connection of capacitor, inductor and memristor. We solve Eqs. (2) and (3) numerically using close to a steady state initial conditions and different Vt . In our c”