Ekaterina S. Berdnikova

N. I. Lobachevsky State University of Nizhny Novgorod

Papers

Total Citations

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About

Ekaterina S. Berdnikova is a pioneering researcher at the intersection of computational neuroscience and robotics, specializing in spatial computing and the development of modular spiking neural networks (SNNs). Her major contributions lie in architecting neural network systems that can be embodied in robotic platforms, advancing the ambitious goal of creating a "brain-on-a-chip"—a semi-artificial device where in vitro neural networks interact with physical environments. In her highly cited 2023 work (11 citations), she demonstrated how structured, modular SNNs can perform associative learning and spatial tasks when integrated with robotic embodiments, a critical step toward functional living computers. Her foundational 2021 paper (3 citations) laid the groundwork for these architectures, identifying key principles for neurocomputational performance. Berdnikova’s research directly addresses the challenge of bridging biological neural networks with artificial systems, offering transformative insights for neuromorphic computing and embodied AI. Her work is essential reading for students and researchers exploring how living neural networks can be harnessed for real-world robotic interaction and adaptive computation.