logo
Loading...
Emergent behaviour and neural dynamics in artificial agents tracking odour plumes
Computer ScienceNature Machine Intelligence

Emergent behaviour and neural dynamics in artificial agents tracking odour plumes

S. H. Singh, F. V. Breugel, et al.

This cutting-edge research uses artificial recurrent neural networks trained with deep reinforcement learning to simulate insect-like odour plume tracking. Conducted by Satpreet H. Singh, Floris van Breugel, Rajesh P. N. Rao, and Bingni W. Brunton, the study uncovers how agents successfully navigate dynamic, turbulent environments to locate odour sources, mimicking real insect behaviour and shedding light on neural dynamics and memory in scent tracking.... show more
Introduction
Literature Review
Methodology
Key Findings
Discussion
Conclusion
Limitations
Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 22+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny