Allen on a Chip
Hardware- 1 Devlogs
- 4 Total hours
This project links neuron models to real-world sensors and outputs on an ESP32.
The good
I started off by planning out how exactly I would run a neuron model on an ESP32, and tested out three models (in order of complexity): GLIF, perisomatic, and all-active.
After reading the official documentation from the AllenSDK GitHub repo, I wrote some scripts testing out the models, which will later be used to reverse-engineer the models so I can figure out how I can put them on a Teensy ESP32.
…and the not so good.
Although the simulations were great, I had to adapt to outdated Python versions by using WSL and Linux to run the initial Python tests. In addition, NEURON gave me a hard time with the perisomatic and all-active models, but I did get some C files which I can look at later.
