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Artificial Neuron and Simple Neural Network Modeling

From life-like action potentials to layers of connected, feedforward neurons.

From neuron to network

  • Modeled artificial neurons with voltage-gated sodium channels and a life-like refractory period to fire action potentials, simultaneously responding to excitatory and inhibitory inputs.
  • Modeled a simple feedforward neural network with layers of connected neurons that generalize data.

Figures

Leaky integrate-and-fire model with sodium channel
Artificial neuron with a voltage-gated sodium channel.
Raster plot of neural network firing
Firing activity across the neural network.
Excitatory and inhibitory inputs in a neuron model
Responses to excitatory and inhibitory inputs.
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