Emergent dynamics in a robotic model based on the Caenorhabditis elegans connectome
We analyze the neural dynamics and their relation with the emergent actions of a robotic vehicle that is controlled by a neural network numerical simulation based on the nervous system of the nematode Caenorhabditis elegans. The robot interacts with the environment through a sensor that transmits th...
Main Authors: | Carlos E. Valencia Urbina, Sergio A. Cannas, Pablo M. Gleiser |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-01-01
|
Series: | Frontiers in Neurorobotics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fnbot.2022.1041410/full |
Similar Items
-
Raising the Connectome: The Emergence of Neuronal Activity and Behavior in Caenorhabditis elegans
by: Bradly Alicea, et al.
Published: (2020-09-01) -
Machine learning for functional connectomics in Caenorhabditis elegans
by: Warrington, A
Published: (2021) -
A Connectome-Based Digital Twin <i>Caenorhabditis elegans</i> Capable of Intelligent Sensorimotor Behavior
by: Zhongyu Chen, et al.
Published: (2023-05-01) -
Complexity and Vulnerability Analysis of the C. Elegans Gap Junction Connectome
by: James M. Kunert-Graf, et al.
Published: (2017-03-01) -
Modeling the Evolution of Biological Neural Networks Based on <i>Caenorhabditis elegans</i> Connectomes across Development
by: Hongfei Zhao, et al.
Published: (2022-12-01)