Veronika Koren

Dr. Veronika Koren is a Research Fellow at the Department of Excellence for Neural Information Processing within the Faculty of Medicine at the University of Hamburg. She is affiliated with the Center for Molecular Neurobiology Hamburg (ZMNH), where her research focuses on computational neuroscience, neural coding, and spiking network dynamics. Her work integrates biophysical realism, efficient coding principles, and experimental data to understand how neural circuits process sensory information and support decision-making.

Her research interests include the study of spiking neural networks, predictive coding mechanisms, and the analysis of population coding in visual and somatosensory cortices. Dr. Koren employs advanced computational methods, such as machine learning and statistical modeling, to decode neural activity patterns and predict behavioral outcomes from neural data.

Her contributions span theoretical neuroscience and experimental collaborations, with a focus on bridging the gap between biophysical models and empirical observations. She has published extensively on topics like optimal coding in excitatory-inhibitory networks, invariant learning in primate visual systems, and the role of synchrony in population coding.