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Mycelium, a natural and sustainable material, possesses unique electrical, mechanical, and biological properties that make it a promising candidate for biosensor applications. These properties include its ability to conduct electrical…

Applied Physics · Physics 2026-01-14 Bao Zhao , Sophia Ganzeboom , Marcus Haywood-Alexander , Eleni Chatzi , Vasilis Dertimanis

Fungal mycelium, a living network of filamentous threads, thrives on lignocellulosic waste and exhibits rapid growth, hydrophobicity, and intrinsic regeneration, offering a potential means to create next-generation sustainable and…

Mycelium bound composites are promising materials for a diverse range of applications including wearables and building elements. Their functionality surpasses some of the capabilities of traditionally passive materials, such as synthetic…

Emerging Technologies · Computer Science 2022-10-06 Anna Nikolaidou , Neil Phillips , Michail-Antisthenis Tsompanas , Andrew Adamatzky

The biological skin enables animals to sense various stimuli. Extensive efforts have been made recently to develop smart skin-like sensors to extend the capabilities of biological skins; however, simultaneous sensing of several types of…

Computer Vision and Pattern Recognition · Computer Science 2024-01-17 Sho Shimadera , Kei Kitagawa , Koyo Sagehashi , Tomoaki Niiyama , Satoshi Sunada

Living plants, while contributing to ecological balance and climate regulation, also function as natural sensors capable of transmitting information about their internal physiological states and surrounding conditions. This rich source of…

Machine Learning · Computer Science 2025-07-01 Eduard Buss , Till Aust , Heiko Hamann

Mycorrhizal networks -- often called nature's ``wood-wide web'' -- are vast underground mycelial systems that connect individual plants through countless hyphae of mycorrhizal fungi joining with plant roots. Through these hyphal webs,…

Human-Computer Interaction · Computer Science 2026-03-11 Botao Amber Hu , Danlin Huang , Yilan Elan Tao , Xiaobo Aaron Hu , Rem RunGu Lin

Living fungal mycelium networks are proven to have properties of memristors, capacitors and various sensors. To further progress our designs in fungal electronics we need to evaluate how electrical signals can be propagated through mycelium…

Emerging Technologies · Computer Science 2023-04-24 Richard Mayne , Nic Roberts , Neil Phillips , Roshan Weerasekera , Andrew Adamatzky

Abstract: Bionic learning with fused sensing, memory and processing functions outperforms artificial neural networks running on silicon chips in terms of efficiency and footprint. However, digital hardware implementation of bionic learning…

Emerging Technologies · Computer Science 2022-02-22 Shijie Wang , Xi Chen , Chao Zhao , Yuxin Kong , Baojun Lin , Yongyi Wu , Zhaozhao Bi , Ziyi Xuan , Tao Li , Yuxiang Li , Wei Zhang , En Ma , Zhongrui Wang , Wei Ma

Inspired by the brain, we present a physical alternative to traditional digital neural networks -- a microfluidic network in which nodes are connected by conical, electrolyte-filled channels acting as memristive iontronic synapses. Their…

Soft Condensed Matter · Physics 2025-11-07 Monica Conte , René van Roij , Marjolein Dijkstra

Biological living materials, such as animal bones and plant stems, are able to self-heal, regenerate, adapt and make decisions under environmental pressures. Despite recent successful efforts to imbue synthetic materials with some of these…

Bacteria sense a diverse range of environmental analytes with high sensitivity and temporal resolution. Engineering and synthetic biology approaches enabled harnessing this capability through development of whole-cell biosensors that…

Microelectronic morphogenesis is the creation and maintenance of complex functional structures by microelectronic information within shape-changing materials. Only recently has in-built information technology begun to be used to reshape…

Robotics · Computer Science 2024-05-24 John S. McCaskill , Daniil Karnaushenko , Minshen Zhu , Oliver G. Schmidt

Modern security, infrastructure, and safety-critical systems increasingly operate in environments characterised by disruption, uncertainty, physical damage, and degraded communications. Conventional digital technologies -- centralised…

Emerging Technologies · Computer Science 2026-02-12 Andrew Adamatzky

Multimodal fusion leverages information across modalities to learn better feature representations with the goal of improving performance in fusion-based tasks. However, multimodal datasets, especially in medical settings, are typically…

Machine Learning · Computer Science 2025-02-05 Alejandro Guerra-Manzanares , Farah E. Shamout

While bio-inspired and biomimetic systems draw inspiration from living materials, biohybrid systems incorporate them with synthetic devices, allowing the exploitation of both organic and artificial advantages inside a single entity. In the…

Robotics · Computer Science 2022-11-22 Huu Duoc Nguyen , Van Than Dung , Hirotaka Sato , T. Thang Vo-Doan

We present a novel multi-modal bio-sensing platform capable of integrating multiple data streams for use in real-time applications. The system is composed of a central compute module and a companion headset. The compute node collects,…

Human-Computer Interaction · Computer Science 2018-02-23 Siddharth , Aashish Patel , Tzyy-Ping Jung , Terrence J. Sejnowski

Mesoscale molecular assemblies on the cell surface, such as cilia and filopodia, integrate information, control transport and amplify signals. Synthetic devices mimicking these structures could sensitively monitor these cellular functions…

The living mycelium networks are capable of efficient sensorial fusion over very large areas and distributed decision making. The information processing in the mycelium networks is implemented via propagation of electrical and chemical…

Neurophysiological studies are typically conducted in laboratories with limited ecological validity, scalability, and generalizability of findings. This is a significant challenge for the development of brain-computer interfaces (BCIs),…

A new type of microfluidic system for biological cell manipulation, a CMOS/microfluidic hybrid, is demonstrated. The hybrid system starts with a custom-designed CMOS (complementary metal-oxide semiconductor) chip fabricated in a…

Quantitative Methods · Quantitative Biology 2007-05-23 Hakho Lee , Yong Liu , Donhee Ham , Robert M. Westervelt
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