Synthetic Biology meets Neuromorphic Computing: Towards a bio-inspired Olfactory Perception System

• URL: http://arxiv.org/abs/2504.10053v2
• Date: Fri, 01 Aug 2025 03:21:53 GMT
• Title: Synthetic Biology meets Neuromorphic Computing: Towards a bio-inspired Olfactory Perception System
• Authors: Kevin Max, Larissa Sames, Shimeng Ye, Jan Steinkühler, Federico Corradi,
• Abstract summary: We propose a hybrid system of synthetic sensory neurons that provides three key features.<n>This research seeks to develop a platform for ultra-sensitive, specific, and energy-efficient odor detection.
• Score: 1.5580733726050227
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: In this study, we explore how the combination of synthetic biology, neuroscience modeling, and neuromorphic electronic systems offers a new approach to creating an artificial system that mimics the natural sense of smell. We argue that a co-design approach offers significant advantages in replicating the complex dynamics of odor sensing and processing. We propose a hybrid system of synthetic sensory neurons that provides three key features: (a) receptor-gated ion channels, (b) interface between synthetic biology and semiconductors and (c) event-based encoding and computing based on spiking networks. Our approach is validated using simulation-based modeling of the complete sensing and processing pipeline. This research seeks to develop a platform for ultra-sensitive, specific, and energy-efficient odor detection, with potential implications for environmental monitoring, medical diagnostics, and security.

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