Papers
5
Total Citations
44
H-Index
4
About
Zhanfei Chen is at the forefront of neuromorphic engineering, designing bio-inspired memristive circuits that emulate core cognitive and emotional functions of the brain. His research centers on creating hardware implementations of learning, memory, decision-making, and navigation, drawing directly from psychological and neuroscientific models. Chen’s major contributions include a pioneering memristive circuit that integrates classical and operant conditioning to replicate Hull’s secondary learning system, enabling adaptive decision-making (17 citations). He has also developed circuits for personalized emotion generation with memory retrieval, incorporating personality traits (12 citations), and a spiking neural network for bio-inspired spatial navigation (7 citations). Further work includes a bionic localization circuit modeling the hippocampus and entorhinal cortex (6 citations) and an adaptive decision-making circuit inspired by the fight-or-flight response (2 citations). By translating complex biological mechanisms—from grid cells to emotional memory—into tangible hardware, Chen is advancing the next generation of intelligent, autonomous systems capable of real-time environmental adaptation. His work bridges neuroscience and circuit design, offering a path toward more lifelike artificial intelligence.
Research Focus
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