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A mathematical approach to unsupervised learning in recurrent neural networks

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Academic year: 2021

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Figure 1.1: This represents the forces participating to the functioning of a potassium ion channel
Figure 1.4: These figures represent the phase planes of four different neuron models. In all cases, the input acts as a vertical shifting of the cubic green curves
Figure 1.6: Drawing of a synapse with its difference elements. Taken from Wikipedia.
Figure 1.7: Spike-Timing Dependent Plasticity: The STDP function shows the change of synaptic connections as a function of the relative timing
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