To describe, analyze and process common biological signals.
Processing EEG signals and specific events to analyze and classify event-driven variations with specific focus on underlying neural activity.
To study basics of neuron models for understanding precise spiking behaviors, similar to the biological neurons
To understand the computational basics of neural properties that drive network dynamics in large scale computational models.
To study how single neuron can be scaled to replicate a network activity with different synaptic connections with neuron models.