My name is Viktoria Zemliak. I am a computational neuroscientist in the Osnabrück Univerisity, Germany. My background includes cognitive science, ML engineering and natural language processing.
- My main research interests are: computational neuroscience, spiking networks, synaptic plasticity, neuromorphic computing, continual learning.
- My side interests: natural language processing, psychometrics, bioinformatics.
- Familiarity detection under varied saliency from spike synchrony
- Continual familiarity in recurrent spiking networks
- Synchrony reveals Gestalt principles in V1
- Spatial LCA model for predicting fixation latencies
- Predicting Big Five personality traits from eye tracking data
- Analysis of comments on political youtube videos - Digital Humanities Hackathon 2019, Moscow, Russia 🥇
- Predicting pathogenicity of bacteria - Bionformatics Summer School 2021, Saint Petersburg, Russia 🥇