TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
A Spiking Neural Network for Autonomous Search and Contour Tracking Inspired by C. elegans Chemotaxis and the Lévy Walk |
| 영문제목(English Title) |
A Spiking Neural Network for Autonomous Search and Contour Tracking Inspired by C. elegans Chemotaxis and the Lévy Walk |
| 저자(Author) |
Mohan Chen
Dazheng Feng
Hongtao Su
|
| 원문수록처(Citation) |
VOL 16 NO. 09 PP. 2846 ~ 2866 (2022. 09) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Caenorhabditis elegans exhibits sophisticated chemotaxis behavior through two parallel strategies, klinokinesis and klinotaxis, executed entirely by a small nervous circuit. It is therefore suitable for inspiring fast and energy-efficient solutions for autonomous navigation. As a random search strategy, the Lévy walk is optimal for diverse animals when foraging without external chemical cues. In this study, by combining these biological strategies for the first time, we propose a spiking neural network model for search and contour tracking of specific concentrations of environmental variables. Specifically, we first design a klinotaxis module using spiking neurons. This module works in conjunction with a klinokinesis module, allowing rapid searches for the concentration setpoint and subsequent contour tracking with small deviations. Second, we build a random exploration module. It generates a Lévy walk in the absence of concentration gradients, increasing the chance of encountering gradients. Third, considering local extrema traps, we develop a termination module combined with an escape module to initiate or terminate the escape in a timely manner. Experimental results demonstrate that the proposed model integrating these modules can switch strategies autonomously according to the information from a single sensor and control steering through output spikes, enabling the model worm to efficiently navigate across various scenarios. |
| 키워드(Keyword) |
chemotaxis
Caenorhabditis elegans
navigation
spiking neural network
Lévy walk
|
| 파일첨부 |
PDF 다운로드
|
