Nikos Gkekas

Nikos Gkekas serves as a Lecturer at Edinburgh Napier University since December 2021, following post-doctoral research positions at the École normale supérieure in Paris and the University of Nottingham.

His academic qualifications include:

• Informatics training at Aristotle University of Thessaloniki, Greece
• Masters in Machine Learning and Data Mining from the University of Bristol
• Masters and PhD in Neuroinformatics from the University of Edinburgh

Dr. Gkekas's research centers on cognitive neuroscience, investigating how humans seamlessly learn from environmental statistics through prior expectations, complexity limits, and interactions between temporal/structural learning mechanisms. Complementary work explores vision science and computational neuroscience, focusing on canonical neural computations (normalization, lateral inhibition, probabilistic formulations) that organize sensory input into perceptual representations across cortical levels. Current topics include adaptation across timescales, motion/speed perception, serial effects, and probabilistic perception models.

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