Intelligent Memristive Circuits for Bioengineering Applications

#SB #WIE #ieeesbpolito #memristivedevices #bioengineering #monitoring #information-processing

Memristive devices establish a compelling connection between nonlinear physical phenomena, biological dynamics, and intelligent hardware, opening alternative computational pathways beyond conventional digital architectures. Nature itself demonstrates efficient, distributed, and adaptive information processing mechanisms, which can serve as blueprints for novel circuit-level computation paradigms. In parallel, neurodegenerative disorders such as Parkinson’s disease, one of the most prevalent conditions of its kind, demand improved diagnostic and monitoring solutions supported by intelligent, low-power hardware. In this context, memristive networks can be exploited to model pathological dynamics, while analog front-end circuits enable accurate tremor detection, one of the most characteristic motor symptoms of the disease. Furthermore, physics-informed and reaction-diffusion frameworks inspired by living systems, including mycelium growth models, provide compact and physically grounded approaches for capturing complex spatiotemporal behavior through a memristive reservoir layer relevant to disease characterization. Collectively, this talk illustrates how memristive circuits evolve from passive memory components into adaptive computational substrates, supporting biologically inspired modeling, intelligent diagnostic platforms with closed-loop potential, and neuromorphic control circuits (such as obstacle avoidance in mini-robotic systems) that further demonstrate the versatility of this hardware paradigm.

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• Corso Castelfidardo, 42/A
• Turin, Piemonte
• Italy 10129
• Building: DET
• Room Number: Maxwell Room
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• The event was organized by GreenChips-EDU in collaboration with the Dept. of Electronics and Telecommunications at Politecnico di Torino, the IEEE SB PoliTO and affiliated groups (CAS SBC and WIE).

• Starts 01 June 2026 10:00 PM UTC
• Ends 08 June 2026 10:00 PM UTC
• No Admission Charge

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