Thanos Manos

Using Disinhibition versus Direct Control in a Spiking Neural Model of Dopamine-Driven Reinforcement Learning

This study compares two spiking neural models of dopamine-driven reinforcement learning, finding that the disinhibition model outperforms the direct control model in learning tasks.

An exploratory computational analysis in mice brain networks of widespread epileptic seizure onset locations along with potential strategies for effective intervention and propagation control

This study uses computational models to explore seizure onset and propagation in mice brains and identifies strategies to limit seizure spread.

Enhanced simulations of whole-brain dynamics using hybrid resting-state structural connectomes

The paper uses a Kuramoto phase oscillator model with hybrid resting-state structural connectomes to simulate functional connectomes that align with observed data.

How stimulation frequency and intensity impact on the long-lasting effects of coordinated reset stimulation

This paper investigates how stimulation frequency and intensity affect the long-term desynchronizing effects of Coordinated Reset (CR) stimulation in neuronal networks with STDP.

Short-term dosage regimen for stimulation-induced long-lasting desynchronization

This paper proposes a short-term dosage regimen for CR stimulation to robustly induce long-lasting desynchronization in neuronal networks.