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About

Victor Erokhin is a pioneering researcher at the intersection of neuromorphic computing, memristive devices, and biohybrid systems. His work bridges the gap between biological neural networks and artificial hardware, with a particular focus on developing brain-inspired computational architectures that can interface with living tissue. Erokhin's most influential contribution — "Neurohybrid Memristive CMOS-Integrated Systems for Biosensors and Neuroprosthetics" (2020, 183 citations) — established a compelling framework for integrating living neural networks with metal-oxide memristive arrays and mixed-signal CMOS circuits, advancing the fields of neuroprosthetics and biosensing simultaneously. His research extends into unconventional computing, notably harnessing the adaptive behavior of *Physarum polycephalum* slime mold to realize self-organizing computational elements. Erokhin has also made significant strides in hardware neuron modeling, proposing organic memristive architectures capable of simulating both excitatory and inhibitory synaptic learning, with applications in biologically inspired robotics. His more recent work explores the philosophical and cultural frontiers of neurotechnology through concepts like the "Neuropunk Revolution" and sociomorphic neuromodeling, reflecting a uniquely interdisciplinary vision. Together, these contributions position Erokhin as a bold and original voice shaping the future of neuromorphic and cyborg technologies.