I am a neuroscientist studying the neural mechanisms of memory consolidation during sleep, with a particular focus on the dynamic interplay between slow oscillations and sleep spindles. My research integrates EEG-based sleep analysis with behavioral memory paradigms to investigate how distinct features of non-REM sleep contribute to long-term memory stabilization.
As part of an international collaboration with Professor Lisa Marshall’s team at the University of Lübeck, our work focuses on employing closed-loop auditory stimulation to selectively enhance sleep rhythms that support memory consolidation. We aim to understand how auditory stimulation, precisely synchronized with endogenous brain activity, can modulate the strength and timing of fast and slow spindles in coordination with slow oscillations, thereby improving overnight memory retention.
I am also deeply interested in translating these findings into non-invasive cognitive enhancement strategies, particularly for educational and clinical applications. Our goal is to bridge basic neuroscience with real-world interventions that can support learning and memory across diverse populations.
Selected PublicationsMy research specializes in brain signal analysis and computational neuroscience, focusing on neural oscillations and their functional significance across different brain states.My expertise includes developing algorithms for detecting various brain rhythms, creating methodologies for spike sorting, and building computational models that generate neural oscillations. Currently, I'm working on seizure detection in epileptic marmosets through analysis of brain recordings under supervision of Dr. Maryam Ghorbani and Dr. Igor Timofeev. For updates on my latest research, please visit:
https://github.com/azarmehri