Sigh, once again a glorified pseudorandom chaos automata. When will folks learn to implement proper action potential based neurons on TPT? *More like this save is an innovation in its own ways, but some time in August I came up with a system for simulating simple temperature based 'perceptrons' which are connected in more realistic ways similar to a cortical column. (ogsterduck has addressed this I believe)
You are very smart. I feel like its people like you who might end up becoming the next Ben Carson. :)
(By evolution, i only meant the improvement of the grid ;_;) Yeah, real neurodevelopment is hardly possible in tpt. Also, the highest synapse count per neuron already made is five. But by diversifying the circuit, maybe we could make a grid with a certain relaxed signal pattern and reactions to imput, with other functions replaced by electronics, e.g. neural memory replaced with FILT memory units. Like an epic proto-brained cyborg t-100 ****** AI.
lol i downloaded tpt for our school then deleted it because everyone was meesing arount with dest and sand.
Holy Crap. The Powder Toy May Be the home of Many Future Scientists That Will be learned about in school one day. I mean seriously. We have created: Computers,Brains,Nuclear Power Plants And Even USB's!
i was the one who suggested the Nble gas thing, well atleast i think i was the first one
For this to be even slightly accurate, you will need about 7000 synapses per neuron.
It is probably impossible to implement neuroevolution in TPT. Maybe just maybe you could do backprop with like 3 neurons simulated by a very good subframe computer using a static learning rate. Other than that it's impossible.
As someone who has programmed several actual neural networks including training methons such as backpropagation and neuroevolution, this is NOT evolving. These can't even be called neurons.