no code implementations • 4 Jun 2023 • Michael Taynnan Barros, Michelangelo Paci, Aapo Tervonen, Elisa Passini, Jussi Koivumäki, Jari Hyttinen, Kerstin Lenk
With many advancements in in silico biology in recent years, the paramount challenge is to translate the accumulated knowledge into exciting industry partnerships and clinical applications.
no code implementations • 17 Aug 2021 • Harun Šiljak, Michael Taynnan Barros, Nathan D'Arcy, Daniel Perez Martins, Nicola Marchetti, Sasitharan Balasubramaniam
The recent COVID-19 pandemic has driven researchers from different spectrum to develop novel solutions that can improve detection and understanding of SARS-CoV-2 virus.
no code implementations • 5 Mar 2021 • Geoflly L. Adonias, Harun Siljak, Michael Taynnan Barros, Sasitharan Balasubramaniam
The COVID-19 pandemic has shaken the world unprecedentedly, where it has affected the vast global population both socially and economically.
no code implementations • 30 Oct 2020 • Michael Taynnan Barros, Mladen Veletić, Masamitsu Kanada, Massimiliano Pierobon, Seppo Vainio, Ilangko Balasingham, Sasitharan Balasubramaniam
Hundreds of millions of people worldwide are affected by viral infections each year, and yet, several of them neither have vaccines nor effective treatment during and post-infection.
no code implementations • 4 Sep 2020 • Harun Šiljak, Nouman Ashraf, Michael Taynnan Barros, Daniel Perez Martins, Bernard Butler, Arman Farhang, Nicola Marchetti, Sasitharan Balasubramaniam
While metasurface based intelligent reflecting surfaces (IRS) are an important emerging technology for future generations of wireless connectivity in its own right, the plans for the mass deployment of these surfaces motivate the question of their integration with other new and emerging technologies that would require mass proliferation.
no code implementations • 18 Jul 2020 • Sergio López Bernal, Alberto Huertas Celdrán, Lorenzo Fernández Maimó, Michael Taynnan Barros, Sasitharan Balasubramaniam, Gregorio Martínez Pérez
This paper defines the first two neural cyberattacks, Neuronal Flooding (FLO) and Neuronal Scanning (SCA), where each threat can affect the natural activity of neurons.
Neurons and Cognition Cryptography and Security
1 code implementation • 13 Jul 2020 • Michael Taynnan Barros, Phuong Doan, Meenakshisundaram Kandhavelu, Brendan Jennings, Sasitharan Balasubramaniam
The results from the simulation showed that an optimum value for both the Ca$^{2+}$ activation threshold and time slot of input signals $T_b$ is required to achieve optimal computation accuracy, where up to 90\% accuracy for both the AND and OR gates can be achieved with the right combination of values.
Cell Behavior Emerging Technologies
no code implementations • 4 Apr 2020 • Renan C. Moioli, Pedro H. J. Nardelli, Michael Taynnan Barros, Walid Saad, Amin Hekmatmanesh, Pedro Gória, Arthur S. de Sena, Merim Dzaferagic, Harun Siljak, Werner van Leekwijck, Dick Carrillo, Steven Latré
In particular, we propose a novel systematization that divides the contributions into two groups, one focused on what neurosciences will offer to 6G in terms of new applications and systems architecture (Neurosciences for Wireless), and the other focused on how wireless communication theory and 6G systems can provide new ways to study the brain (Wireless for Neurosciences).
Signal Processing Emerging Technologies Information Theory Information Theory Neurons and Cognition
no code implementations • 28 Mar 2020 • Michael Taynnan Barros, Harun Siljak, Peter Mullen, Constantinos Papadias, Jari Hyttinen, Nicola Marchetti
Classification of biological neuron types and networks poses challenges to the full understanding of the brain's organisation and functioning.