Effects of Hebbian learning on the dynamics and structure of random networks with inhibitory and excitatory neurons
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The aim of the present paper is to study the effects of Hebbian learning in random recurrent neural networks with biological connectivity, i.e. sparse connections and separate populations of excitatory and inhibitory neurons. We furthermore consider that the n... ...
