A Finite Element Approximation of a Cahn--Hilliard Tumour Model with FEniCS, by Dennis Trautwein (2020).
-
Updated
Oct 11, 2020 - Python
A Finite Element Approximation of a Cahn--Hilliard Tumour Model with FEniCS, by Dennis Trautwein (2020).
Artificial agents developing chemotaxis using probabilistic spiking perceptrons
A sample application attempting to simulate Chemotaxis, the movement of an organism either toward or away from chemicals
[PNAS Nexus 2024] Learning Optimal Integration of Spatial and Temporal Information.
Multiscale modeling of E.coli chemotaxis
Inverse reinforcement learning on real trajectories of active microscopic swimmers (starting with C. elegans chemotaxis), to infer the reward function they behave as if optimizing — MaxEnt IRL, Deep MaxEnt IRL, AIRL.
This repository contains a program to simulate a chemotaxis process from a parabolic-elliptic system of partial differential equations.
An implementation of the CDF v2-UL (Coordinate-Driven Forcing v2 Ultra-Linearization) Agent Compiler for bounded homeostatic and autopoietic control. Features neuro-symbolic warehouse planning, plant drought senescence, mycelial networks vs TSP, E. coli gradient adaptation, and rodent foraging simulations.
This repository will have all the code for figures and videos constructed for the paper "Analysis and Simulation of a Novel Run-and-Tumble Model with Autochemotaxis", which will appear in the Journal of Mathematical Biology.
Scala/JavaFX GUI Chemotaxis Visualizer with Temporal Manipulation
2D active-matter simulation of T cell swarming: ABP plus Vicsek alignment plus chemotaxis, with desensitization and excluded volume
C. elegans konnektom simülasyonu — 41 nöron, 98 sinaps, tarayıcıda çalışan yapay yaşam
Endothelial cells moving in a chemical field
Computational implementation of a mechanistic model of C. elegans adaptive chemotaxis behavior. The minimal model is based on a neural circuit composed of a sensory neuron and a motor neuron.
Jupyter notebooks associated with Shi et al. Methods in Molecular Biology, Springer Nature
This project simulates the behavior of an intelligent nanobot navigating in a 3D environment to locate a chemical source using chemotaxis-inspired algorithms. The system combines Kalman Filtering for noise reduction and Gradient Climbing for efficient path optimization.
Contains public resources (code/data) linked to publications
To associate your repository with the chemotaxis topic, visit your repo's landing page and select "manage topics."