mesa
c302
| mesa | c302 | |
|---|---|---|
| 1 | 2 | |
| 2,219 | 87 | |
| 1.9% | - | |
| 9.5 | 8.9 | |
| 8 days ago | about 2 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | - |
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mesa
c302
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Openworm – a biological simulation of a worm with 302 neurons
From a quick read of the model used [0], it seems simulate neurons and muscles at a functional level (not atoms or cells).
[0] - https://github.com/openworm/c302 (linked in the original github page)
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If meshCODE theory was correct what would the implications be for cryonics?
First, regarding C. Elegans mind uploading, I agree, it's frustrating that having its connectome wasn't enough, but I think K. Hayworth pointed out that its neurons are actually less well understood and in some ways harder to study than human neurons, among other reasons because they don't spike. I can't find the Hayworth quote, but for instance there's the c302 paper (mentioned in the Openworm github repo):
What are some alternatives?
agentpy - AgentPy is an open-source framework for the development and analysis of agent-based models in Python.
OpenWorm - Repository for the main Dockerfile with the OpenWorm software stack and project-wide issues
rust-agent-based-models - Reliable and efficient agent-based models in Rust
org.wormsim.frontend - WormSim frontend bundle
Agents.jl - Agent-based modeling framework in Julia
simupy - A framework for modeling and simulating dynamical systems
fdtd - A 3D electromagnetic FDTD simulator written in Python with optional GPU support
PlexSim - Computational toolbox for complex (adaptive) system simulations
COVID19_AgentBasedSimulation - COVID-ABS: An Agent-Based Model of COVID-19 Epidemic to Simulate Health and Economic Effects of Social Distancing Interventions
Lottery-Simulation - This program can simulate a number of drawings in the Lottery (6 out of 49). The guesses and the draws are chosen randomly and the user can choose how many right guesses there should be (0-6). Then the program will run through the simulation as many times as it takes to get the exact number of correct guesses the user chose. The user can also choose how many times this should be repeated (the higher the number, the more accurate the result will be). Then the program will automatically calculate the average number of tries it took to get the chosen number of correct guesses and tell the user the chance of getting this certain number of correct guesses.