Fariba Bahrami

This study identifies two distinct pathways to chaotic firing in neurons based on NMDA receptor kinetics and stimulation frequency, revealing how these factors influence information encoding and stability.

This study uses RQA to analyze EEG and kinematic data during motor learning, finding an inverse relationship between neural and behavioral determinism as performance improves.

This study uses dynamic causal modeling to analyze effective connectivity in schizophrenia patients, finding significant dysconnection in key networks and correlations with cognitive impairments.

This study uses a neural mass model to analyze how spiny stellate cells influence seizure onset through dynamic bifurcation analysis and receptor function changes.