In this project we are proposing to implement and develop a methodology, initially built within the scope of the project 2016/23398-8, in order to study synchronisation of spikes in a network with synaptic plasticity and propagation delay. The dynamics of neurons can be associated with thatof relaxation oscillators, so several properties observed in neural networks can be applied in other areas such as climatic studies and engineering problems such as coupled circuits.The neural synchronisation is related to variousneurological disorders such as Parkinson's disease and epilepsy, so it is important to evaluate the processes by which occurs and ways to suppress this behaviour. Neuronal dynamics will be described by Hodgkin-Huxley model considering excitatory and inhibitory chemical synapses with a time delay. We will consider the plasticity model known as "spike timing-dependent plasticity" which are changes in synaptic interactions according to the times of spikes between neurons. To achieve this goal we rely on the expertise of the researchers of the institution to be visited, which is our partner in the thematic project 2015/501220.
News published in Agência FAPESP Newsletter about the scholarship: