600 spiking INa,p-IK neurons on a torus with +4mV noise and few input signals

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Uploaded by on Nov 11, 2009

This my first test experiment with spiking neural network. I used INa,p-IK model from lecture I'm attending to right now. Each neuron is connected to only 8 of it's closest neighbours. Integration is done in 0.003ms steps. This toy is very simplified and artificial setup but it produces visually appealing results. It's really cool to play with. Purple neurons in the beginning and in the middle of simulation were triggered manually by applying very high voltage.

Model would normally stop propagating these triggered waves near the beginning and stabilize if there wasn't any noise. In every step of integration I input current with random voltage of 0 up to 4mV.

There are many unclear places in this model - i've just started learning this stuff.

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  • really like the result..reminds me of the little 'life' programs i used to code :)

    i wish i understood more about what it is your simulating here.. im interested but not sure if my old brain could handle it hehe

  • Why do you feel the need to mess with it once it stabilizes?

  • ´úů-.ů-§

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