معرفی
Dr. Olya Hakobyan is a researcher at the Institute of Neuroinformatics (INI), part of the Faculty of Computer Science at Ruhr University Bochum. Her work focuses on algorithmic models of recognition memory, particularly the role of input statistics and pattern separation in shaping ROC curves and recognition performance.
Her research bridges computational neuroscience and cognitive science, exploring interactions between episodic memory and sensory/semantic systems. She studies how memory processes like familiarity and recollection contribute to recognition tasks, and investigates the influence of stimulus representations on cognitive outcomes. Key projects include modeling ROC curve properties and analyzing memory-sensory system interactions.
Dr. Hakobyan's publications examine recognition memory through computational frameworks, emphasizing decision-making mechanisms and neural architectures. She has supervised theses on related topics, including J. Pronoza's Master’s thesis in Medical Physics and R. Simon's work in Applied Computer Science.
