Papers
2
Total Citations
186
H-Index
2
About
Yana Pigareva is a pioneering researcher at the intersection of neuroengineering and memristive technologies, whose work is forging the future of biosensors and neuroprosthetics. Her primary research areas include neurohybrid systems, memristive CMOS integration, and adaptive neural interfaces. Pigareva’s most significant contribution is her visionary 2020 perspective on neurohybrid memristive chips, which proposes a revolutionary concept combining living neural networks cultivated in microfluidic/microelectrode systems with metal-oxide memristive devices and mixed-signal CMOS layers. This highly influential work, garnering 183 citations, outlines a framework for creating bidirectional adaptive neural interfaces that could transform how we approach brain-machine integration. In a complementary study, she developed a systematic methodology for designing and simulating multilayer perceptron networks based on cross-bar arrays of memristive devices, integrating artificial neural network theory with tolerance analysis and experimental design. Her work represents a critical bridge between biological neural networks and artificial memristive systems, offering tangible pathways toward advanced neuroprosthetics and real-time biosensing platforms. Pigareva’s research stands at the forefront of a new era in neurotechnology, where living and artificial neural systems converge.
Research Focus
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Top Papers
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