Synchronization in a Neural Mass Model

Alonso, Ana (Supervisor: Mirasso, C.)
Master Thesis (2017)

It has been shown in simple neuronal systems, conformed by two excitatory neurons unidirectionally (sender-receiver) connected, that the receiver neuron can anticipate the sender spiking if an inhibitory neuron is connected bidirectionally to the receiver. Later, the same behavior was reproduced using neural networks although was computationally very costly. In this work we study synchronization in the Neural Mass model proposed by M. Breakspear, 2003 and observe that, under certain conditions, it does also display anticipated synchronization while being computationally more ecient than neural networks simulations.

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