Hey Jona,
just for clarification:
Do you want to simulate the dendrites as "compartments" of the neuron,
or do you just want to use them to refine the distance dependent
connection probabilities?
Best
Anno
On 26.06.23 20:21, jona.m.scholz(a)gmail.com wrote:
Hello everyone,
first off some disclaimers (feel free to skip). I'm new to the space and don't
know what I'm talking about. I'm also sorry if this is question is redundant, but
I couldn't find an answer to it.
Imagine a spatial network where neurons have free positions. Each neuron has associated
dendrites, which are also just points in space. 2 neurons are connected if and only if the
dendrite of 1 neuron is very close to the other neuron. I've created an image to show
what I mean, but couldn't upload it here. It's under this link:
https://ibb.co/nfh9hbn
Is there a good way to achieve this? If there is not, what would be the best way to
implement it? The pointers I'm looking for are along the lines of "yes use
function x" or "no, you have to implement it in python" or maybe even
"you can add this connectivity to our C++ back-end if you do this and that".
Kind regards,
Jona
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