A Butterfly‐Inspired Multisensory Neuromorphic Platform for Integration of Visual and Chemical Cues

Author:

Zheng Yikai1,Ghosh Subir1,Das Saptarshi1234ORCID

Affiliation:

1. Engineering Science and Mechanics Penn State University University Park PA 16802 USA

2. Electrical Engineering Penn State University University Park PA 16802 USA

3. Materials Science and Engineering Penn State University University Park PA 16802 USA

4. Materials Research Institute Penn State University University Park PA 16802 USA

Abstract

AbstractUnisensory cues are often insufficient for animals to effectively engage in foraging, mating, and predatory activities. In contrast, integration of cues collected from multiple sensory organs enhances the overall perceptual experience and thereby facilitates better decision‐making. Despite the importance of multisensory integration in animals, the field of artificial intelligence (AI) and neuromorphic computing has primarily focused on processing unisensory information. This lack of emphasis on multisensory integration can be attributed to the absence of a miniaturized hardware platform capable of co‐locating multiple sensing modalities and enabling in‐sensor and near‐sensor processing. In this study, this limitation is addressed by utilizing the chemo‐sensing properties of graphene and the photo‐sensing capability of monolayer molybdenum disulfide (MoS2) to create a multisensory platform for visuochemical integration. Additionally, the in‐memory‐compute capability of MoS2 memtransistors is leveraged to develop neural circuits that facilitate multisensory decision‐making. The visuochemical integration platform is inspired by intricate courtship of Heliconius butterflies, where female species rely on the integration of visual cues (such as wing color) and chemical cues (such as pheromones) generated by the male butterflies for mate selection. The butterfly‐inspired visuochemical integration platform has significant implications in both robotics and the advancement of neuromorphic computing, going beyond unisensory intelligence and information processing.

Funder

Army Research Office

National Science Foundation

Publisher

Wiley

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

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