The Handbook of Brain Theory and Neural Networks
The Handbook of Brain Theory and Neural Networks
Reaction-Diffusion Computers
Amoeba-based neurocomputing with chaotic dynamics
Communications of the ACM - ACM's plan to go online first
Resource-Competing Oscillator Network as a Model of Amoeba-Based Neurocomputer
UC '09 Proceedings of the 8th International Conference on Unconventional Computation
UC '09 Proceedings of the 8th International Conference on Unconventional Computation
Programmable reconfiguration of Physarum machines
Natural Computing: an international journal
Computation of the travelling salesman problem by a shrinking blob
Natural Computing: an international journal
Hi-index | 0.00 |
We employ a photosensitive amoeboid cell known as a model organism for studying cellular information processing, and construct an experimental system for exploring the amoeba's processing ability of information on environmental light stimuli. The system enables to examine the amoeba's solvability of various problems imposed by an optical feedback, as the feedback is implemented with a neural network algorithm. We discovered that the amoeba solves the problems by positively exploiting fluctuations and instability of its components. Thus, our system works as a neurocomputer having flexible properties. The elucidation of the amoeba's dynamics may lead to the development of unconventional computing devices based on nonequilibrium media to utilize fluctuations and instability.