On Thursday, 23 May 2019 at 23:17:08 UTC, Murilo wrote:
Guys I'm trying to make a program that simulates a neuron which
behaves like the Physarum polycephalum so it will be able to
develop intelligence. I'm making it totally in the D
programming language. I will need help from biology nerds. If
you want to participate you can contact me:
1- on my GitHub: https://github.com/MuriloMir
or
2- via e-mail: [email protected]
or
3- via the Dlang facebook group:
https://www.facebook.com/groups/662119670846705/
or
4- on my twitter: https://twitter.com/MuriloMN0
It doesn't matter how you model a neuron. Whatever sigmoid
function you use will end up converging to the same result. All
neurons function in the same way, and that is as a switch. This
is why you can use all kinds of stuff for switches and it work.
It seems that as long as they mimic a step function then it will
work.
I'd suggest you design your algorithms around using a generic
neuron and then you can play around with specific implementations.
