Synchronization and traveling wave classification in hippocampal network
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Universidade Estadual de Ponta Grossa
Abstract
In this dissertation, we investigate the influence of the radius of connection and the coupling
strength on the synchronization and the emergence of traveling waves in a hippocampal layer of
excitatory neurons. The electrical activity of each neuron is given by the adaptive exponential
integrate-and-fire model. We noticed that for some values of connection radius, the coupling
strength greatly influences the dynamics exhibited in the network. For some values spike
synchronization is achieved, however, by increasing the coupling strength for higher values
the network starts to display bursting activity. For specific values of coupling strength burst
synchronization is observed, a state associated with epileptic seizures. Therefore, the radius of
connection and coupling strength controls the firing pattern and the synchronization of action
potentials. An interesting spatial pattern that emerges in our neuronal network is the traveling
waves. Such waves are present in different regions of the brain and are related to diverse
cognitive tasks for instance spatial information and memory. Thus, understanding the factors
that give rise to such phenomena is crucial for better insight into brain signaling. We observe
that the hippocampal excitatory layer generates diverse wave patterns from ring-shaped waves
to spiral waves. Spiral wave pattern is not fully understood, however, it is theorized that such
wave modulates the activation and deactivation of some brain regions during cognitive tasks.
We show that spiral waves emerge in our network for a vast range of connection radius and
coupling strength. Motivated by the lack of simple and reliable methods for quantitatively
detecting spiral waves we develop a novel and trustworthy method based on synchronization
tools for measuring spiral waves. We show that spiral wave patterns are strongly dependent on
the radius of connection and also on the initial conditions considered. We show that for some
values of radius of connection and coupling strength, wave pattern and synchronous bistable
regimes are observable.
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SOUZA, Diogo Leonai Marques de. Synchronization and traveling wave classification in hippocampal network. 2024. Dissertação (Mestrado em Ciências) - Universidade Estadual de Ponta Grossa, Ponta Grossa. 2024.
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