This is an algorithm programmed with Wolfram Mathematica that simulates the spikes of neurons in a network. The neurons follow the leaky Integrate and Fire model. There is also learning in the synaptic weights. It follows three models: Hebbian learning, Steepest gradient descent, and local stabilization
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This is an algorithm programmed with Wolfram Mathematica that simulates the spikes of neurons in a network. The neurons follow the leaky Integrate and Fire model. There is also learning in the synaptic weights. It follows three models: Hebbian learning, Steepest gradient descent, and local stabilization
liubaoryol/neural-net-with-Hebbian-learning
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This is an algorithm programmed with Wolfram Mathematica that simulates the spikes of neurons in a network. The neurons follow the leaky Integrate and Fire model. There is also learning in the synaptic weights. It follows three models: Hebbian learning, Steepest gradient descent, and local stabilization
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