Associative memory in phasing neuron networks

We studied pattern formation in a network of coupled Hindmarsh-Rose model neurons and introduced a new model for associative memory retrieval using networks of Kuramoto oscillators. Hindmarsh-Rose Neural Networks can exhibit a rich set of collective dynamics that can be controlled by their connectivity. Specifically, we showed an instance of Hebb´s rule where spiking was correlated with network topology. Based on this, we presented a simple model of associative memory in coupled phase oscillators.