We study a multi-class system of interacting neurons looking for the emergence of oscillations: we model the neuronal ensemble using Hawkes processes representing the spikes fired by each neuron in a fixed interval of time; as a result, we show that, even though the single neuron doesn’t fire its spikes periodically, a collective, intrinsic, oscillatory behaviour can be detected.

We study a multi-class system of interacting neurons looking for the emergence of oscillations: we model the neuronal ensemble using Hawkes processes representing the spikes fired by each neuron in a fixed interval of time; as a result, we show that, even though the single neuron doesn’t fire its spikes periodically, a collective, intrinsic, oscillatory behaviour can be detected.

Emergence of collective periodic behaviour in a multi-population system of interacting neurons

DI PIETRO, ILARIA
2022/2023

Abstract

We study a multi-class system of interacting neurons looking for the emergence of oscillations: we model the neuronal ensemble using Hawkes processes representing the spikes fired by each neuron in a fixed interval of time; as a result, we show that, even though the single neuron doesn’t fire its spikes periodically, a collective, intrinsic, oscillatory behaviour can be detected.
2022
Emergence of collective periodic behaviour in a multi-population system of interacting neurons
We study a multi-class system of interacting neurons looking for the emergence of oscillations: we model the neuronal ensemble using Hawkes processes representing the spikes fired by each neuron in a fixed interval of time; as a result, we show that, even though the single neuron doesn’t fire its spikes periodically, a collective, intrinsic, oscillatory behaviour can be detected.
Interacting neurons
Hawkes processes
Periodic behaviour
Oscillations
Neuronal modelling
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/50186