Ioanna Sandvig

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About

Ioanna Sandvig is a pioneering researcher at the intersection of computational neuroscience and bioengineering, whose work centers on creating hybrid biological-artificial systems to decode and emulate brain function. Her most cited paper, "Towards making a cyborg: A closed-loop reservoir-neuro system" (2017, 32 citations), introduces a groundbreaking framework for integrating living neural tissue with machine learning architectures. In this work, Sandvig and her team developed a closed-loop system where a reservoir computer—a type of recurrent neural network—interfaces directly with cultured neurons, enabling real-time feedback and adaptive learning. This cyborg approach offers a powerful platform for studying neural computation, plasticity, and information processing in a controlled yet biologically relevant setting. By bridging the gap between wetware and hardware, Sandvig’s research provides new tools for understanding the brain’s remarkable parallelism, self-organization, and energy efficiency. Her contributions have significant implications for neuromorphic computing, neural prosthetics, and the development of intelligent, adaptive systems. With a growing citation impact, Sandvig continues to push the boundaries of what is possible at the nexus of biology and artificial intelligence, inspiring a new generation of researchers to explore the frontiers of cyborg science.