Items where Author is "Barros, Michael Taynnan"

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Number of items: 18.

Article

Adonias, Geoflly L and Siljak, Harun and Balasubramaniam, Sasitharan and Barros, Michael Taynnan (2024) In silico modelling of neuron signal impact of cytokine storm-induced demyelination. Open Biology, 14 (9). pp. 1-14. DOI https://doi.org/10.1098/rsob.240138

Barros, Michael Taynnan and Paci, Michelangelo and Tervonen, Aapo and Passini, Elisa and Koivumäki, Jussi T and Hyttinen, Jari and Lenk, Kerstin (2024) From Multiscale Biophysics to Digital Twins of Tissues and Organs: Future Opportunities for in-silico Pharmacology. IEEE Transactions on Molecular, Biological and Multi-Scale Communications. p. 1. DOI https://doi.org/10.1109/tmbmc.2024.3442083

Regis, Carlos Danilo Miranda and Silva, Íttalo Dos Santos and Guimarães, Pedro Ivo Aragão and Silva, Emanuel Thiago De Andrade Da and Barros, Michael Taynnan (2023) Dual Ionic Transport Using Ca²⁺and Na²⁺ Signaling for Molecular Communication Systems. IEEE Access, 11. pp. 61331-61345. DOI https://doi.org/10.1109/access.2023.3287497

Egan, Malcolm and Kuscu, Murat and Barros, Michael Taynnan and Booth, Michael and Llopis-Lorente, Antoni and Magarini, Maurizio and Martins, Daniel P and Schäfer, Maximilian and Stano, Pasquale (2023) Toward Interdisciplinary Synergies in Molecular Communications: Perspectives from Synthetic Biology, Nanotechnology, Communications Engineering and Philosophy of Science. Life, 13 (1). p. 208. DOI https://doi.org/10.3390/life13010208

Barros, Michael Taynnan and Siljak, Harun and Mullen, Peter and Papadias, Constantinos and Hyttinen, Jari and Marchetti, Nicola (2022) Objective Supervised Machine Learning-Based Classification and Inference of Biological Neuronal Networks. Molecules, 27 (19). p. 6256. DOI https://doi.org/10.3390/molecules27196256

Martins, Daniel P and Barros, Michael Taynnan and O'Sullivan, Benjamin J and Seymour, Ian and O'Riordan, Alan and Coffey, Lee and Sweeney, Joseph B and Balasubramaniam, Sasitharan (2022) Microfluidic-Based Bacterial Molecular Computing on a Chip. IEEE Sensors Journal, 22 (17). pp. 16772-16784. DOI https://doi.org/10.1109/jsen.2022.3192511

Siljak, Harun and Barros, Michael Taynnan and D'Arcy, Nathan and Martins, Daniel Perez and Marchetti, Nicola and Balasubramaniam, Sasitharan (2022) Applying Intelligent Reflector Surfaces for Detecting Violent Expiratory Aerosol Cloud using Terahertz Signals. IEEE Network, 37 (5). pp. 56-63. DOI https://doi.org/10.1109/mnet.122.2200116

Adonias, Geoflly L and Duffy, Conor and Barros, Michael Taynnan and McCoy, Claire E and Balasubramaniam, Sasitharan (2022) Analysis of the Information Capacity of Neuronal Molecular Communications Under Demyelination and Remyelination. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29. pp. 2765-2774. DOI https://doi.org/10.1109/tnsre.2021.3137350

Siljak, Harun and Ashraf, Nouman and Barros, Michael Taynnan and Martins, Daniel Perez and Butler, Bernard and Farhang, Arman and Marchetti, Nicola and Balasubramaniam, Sasitharan (2021) Evolving Intelligent Reflector Surface Toward 6G for Public Health: Application in Airborne Virus Detection. IEEE Network, 35 (5). pp. 306-312. DOI https://doi.org/10.1109/mnet.011.2000759

Barros, Michael Taynnan and Veletic, Mladen and Kanada, Masamitsu and Pierobon, Massimiliano and Vainio, Seppo and Balasingham, Ilangko and Balasubramaniam, Sasitharan (2021) Molecular Communications in Viral Infections Research: Modelling, Experimental Data and Future Directions. IEEE Transactions on Molecular, Biological and Multi-Scale Communications, 7 (3). pp. 121-141. DOI https://doi.org/10.1109/tmbmc.2021.3071780

Moioli, Renan Cipriano and Nardelli, Pedro HJ and Barros, Michael Taynnan and Saad, Walid and Hekmatmanesh, Amin and Silva, Pedro E Goria and de Sena, Arthur Sousa and Dzaferagic, Merim and Siljak, Harun and Van Leekwijck, Werner and Melgarejo, Dick Carrillo and Latre, Steven (2021) Neurosciences and Wireless Networks: The Potential of Brain-Type Communications and Their Applications. IEEE Communications Surveys and Tutorials, 23 (3). pp. 1599-1621. DOI https://doi.org/10.1109/comst.2021.3090778

Bernal, Sergio López and Celdrán, Alberto Huertas and Pérez, Gregorio Martínez and Barros, Michael Taynnan and Balasubramaniam, Sasitharan (2021) Security in Brain-Computer Interfaces: State-of-the-Art, Opportunities, and Future Challenges. ACM Computing Surveys, 54 (1). pp. 1-35. DOI https://doi.org/10.1145/3427376

Barros, Michael Taynnan and Doan, Phuong and Kandhavelu, Meenakshisundaram and Jennings, Brendan and Balasubramaniam, Sasitharan (2021) Engineering calcium signaling of astrocytes for neural-molecular computing logic gates. Scientific Reports, 11 (1). 595-. DOI https://doi.org/10.1038/s41598-020-79891-x

Adonias, Geoflly L and Siljak, Harun and Barros, Michael Taynnan and Marchetti, Nicola and White, Mark and Balasubramaniam, Sasitharan (2020) Reconfigurable Filtering of Neuro-Spike Communications Using Synthetically Engineered Logic Circuits. Frontiers in Computational Neuroscience, 14. 556628-. DOI https://doi.org/10.3389/fncom.2020.556628

Bernal, Sergio Lopez and Celdran, Alberto Huertas and Maimo, Lorenzo Fernandez and Barros, Michael Taynnan and Balasubramaniam, Sasitharan and Perez, Gregorio Martinez (2020) Cyberattacks on Miniature Brain Implants to Disrupt Spontaneous Neural Signaling. IEEE Access, 8. pp. 152204-152222. DOI https://doi.org/10.1109/access.2020.3017394

Pengnoo, Manus and Barros, Michael Taynnan and Wuttisittikulkij, Lunchakorn and Butler, Bernard and Davy, Alan and Balasubramaniam, Sasitharan (2020) Digital Twin for Metasurface Reflector Management in 6G Terahertz Communications. IEEE Access, 8. pp. 114580-114596. DOI https://doi.org/10.1109/access.2020.3003734

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