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Related papers: Gut-Brain Axis as a Closed-Loop Molecular Communic…

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Molecular communication (MC) is a bio-inspired communication paradigm that utilizes molecules to transfer information and offers a robust framework for understanding biological signaling systems. This paper introduces a novel end-to-end MC…

Emerging Technologies · Computer Science 2024-12-31 Beyza E. Ortlek , Ozgur B. Akan

Synthetic molecular communication (SMC) is a key enabler for future healthcare systems in which Internet of Bio-Nano-Things (IoBNT) devices facilitate the continuous monitoring of a patient's biochemical signals. To close the loop between…

Machine Learning · Computer Science 2025-07-11 Sebastian Lotter , Elisabeth Mohr , Andrina Rutsch , Lukas Brand , Francesca Ronchi , Laura Díaz-Marugán

The gut-brain axis is the communication link between the gut and the brain. Although it is known that the gut-brain axis plays a pivotal role in homeostasis, its overall mechanism is still not known. However, for neural synapses, classical…

Neurons and Cognition · Quantitative Biology 2024-09-30 Bitop Maitra , Ozgur B. Akan

Molecular communication (MC) enables cooperation of spatially dispersed molecular robots through the feedback control mediated by diffusing signal molecules. However, conventional analysis frameworks for the MC channels mostly consider the…

Systems and Control · Electrical Eng. & Systems 2025-08-11 Taishi Kotsuka , Yutaka Hori

We present a fluid-based experimental molecular communication (MC) testbed which uses media modulation. Motivated by the natural human cardiovascular system, the testbed operates in a closed-loop tube system. The proposed system is designed…

Here we describe an "information based exchange" model of brain function that ascribes to neocortex, basal ganglia, and thalamus distinct network functions. The model allows us to analyze whole brain system set point measures, such as the…

Neurons and Cognition · Quantitative Biology 2015-09-17 James Kozloski

Understanding and constructing brain communications that capture dynamic communications across multiple regions is fundamental to modern system neuroscience, yet current methods struggle to find time-varying region-level communications or…

Machine Learning · Computer Science 2025-08-12 Weihan Li , Yule Wang , Chengrui Li , Anqi Wu

Studying the complex interactions between different brain regions is crucial in neuroscience. Various statistical methods have explored the latent communication across multiple brain regions. Two main categories are the Gaussian Process…

Neurons and Cognition · Quantitative Biology 2024-05-31 Weihan Li , Chengrui Li , Yule Wang , Anqi Wu

Molecular Communication (MC) is a pivotal enabler for the Internet of Bio-Nano Things (IoBNT). However, current research often relies on super-capable individual agents with complex transceiver architectures that defy the energy and…

Adaptation and Self-Organizing Systems · Physics 2026-01-27 Boran A. Kilic , Ozgur B. Akan

For decades the external globus pallidus (GPe) has been viewed as a passive way-station in the indirect pathway of the cortico-basal ganglia-thalamic (CBGT) circuit, sandwiched between striatal inputs and basal ganglia outputs. According to…

Neurons and Cognition · Quantitative Biology 2023-12-29 Cristina Giossi , Jonathan E. Rubin , Aryn Gittis , Timothy Verstynen , Catalina Vich

Molecular communication (MC) is a model of information transmission where the signal is transmitted by information-carrying molecules through their physical transport from a transmitter to a receiver through a communication channel. Prior…

Statistical Mechanics · Physics 2026-05-05 Phanindra Dewan , Sumantra Sarkar

Molecular communication (MC) is emerging paradigm that employs molecules as information carriers, inspired by biological signaling processes. Existing modulation schemes such as on-off keying (OOK), although simple to implement, suffer from…

Emerging Technologies · Computer Science 2026-03-10 Muskan Ahuja , Abhishek K. Gupta

Intracranial language brain-computer interfaces (BCIs) are a promising route for restoring communication in people with severe motor and speech impairments, but clinical translation remains limited by fragmented evidence and unresolved…

Neurons and Cognition · Quantitative Biology 2026-03-17 Dongyi He , Wai Ting Siok , Nizhuan Wang

Molecular communication (MC) is a bio-inspired method of transmitting information using biochemical signals, promising for novel medical, agricultural, and environmental applications at the intersection of bio-, nano-, and communication…

Emerging Technologies · Computer Science 2024-08-20 Eren Akyol , Ahmet Baha Ozturk , Iman Mokari Bolhassan , Murat Kuscu

Brain-computer interfaces (BCIs) constitute a promising tool for communication and control. However, mastering non-invasive closed-loop systems remains a learned skill that is difficult to develop for a non-negligible proportion of users.…

When the brain receives input from multiple sensory systems, it is faced with the question of whether it is appropriate to process the inputs in combination, as if they originated from the same event, or separately, as if they originated…

Neural and Evolutionary Computing · Computer Science 2018-03-06 Jonathan Tong , German I. Parisi , Stefan Wermter , Brigitte Röder

Molecular Communication (MC) is a bio-inspired communication paradigm utilizing molecules for information transfer. Research on this unconventional communication technique has recently started to transition from theoretical investigations…

Emerging Technologies · Computer Science 2023-07-11 Ali Abdali , Murat Kuscu

Molecular communication (MC) is a communication paradigm in which information is conveyed through the controlled release, propagation, and reception of molecules. Many envisioned healthcare applications of MC are expected to operate inside…

Emerging Technologies · Computer Science 2026-04-10 Theofilos Symeonidis , Fardad Vakilipoor , Robert Schober , Nunzio Tuccitto , Maximilian Schäfer

This paper develops a dynamical framework for adaptive coordination in systems of interacting agents referred to here as Feedback-Coupled Memory Systems (FCMS). Instead of framing coordination as equilibrium optimization or agent-centric…

Multiagent Systems · Computer Science 2026-03-31 Stefano Grassi

Modeling communication dynamics in the brain is a key challenge in network neuroscience. We present here a framework that combines two measurements for any system where different communication processes are taking place on top of a fixed…

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