Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Polykretis, P."'
A Fully-Configurable Open-Source Software-Defined Digital Quantized Spiking Neural Core Architecture
Autor:
Matinizadeh, Shadi, Pacik-Nelson, Noah, Polykretis, Ioannis, Tishbi, Krupa, Kumar, Suman, Varshika, M. L., Mohammadhassani, Arghavan, Mishra, Abhishek, Kandasamy, Nagarajan, Shackleford, James, Gallo, Eric, Das, Anup
We introduce QUANTISENC, a fully configurable open-source software-defined digital quantized spiking neural core architecture to advance research in neuromorphic computing. QUANTISENC is designed hierarchically using a bottom-up methodology with mult
Externí odkaz:
http://arxiv.org/abs/2404.02248
Beyond providing accurate movements, achieving smooth motion trajectories is a long-standing goal of robotics control theory for arms aiming to replicate natural human movements. Drawing inspiration from biological agents, whose reaching control netw
Externí odkaz:
http://arxiv.org/abs/2209.02787
Spiking neural networks (SNN) are delivering energy-efficient, massively parallel, and low-latency solutions to AI problems, facilitated by the emerging neuromorphic chips. To harness these computational benefits, SNN need to be trained by learning a
Externí odkaz:
http://arxiv.org/abs/2110.14092
Autor:
Panagis Polykretis, Cristiano D’Andrea, Martina Banchelli, Liliana Napolitano, Roberta Cascella, Marella de Angelis, Paolo Matteini
Publikováno v:
Frontiers in Molecular Biosciences, Vol 11 (2024)
Introduction: Alzheimer’s disease (AD) is a progressive debilitating neurological disorder representing the most common neurodegenerative disease worldwide. Although the exact pathogenic mechanisms of AD remain unresolved, the presence of extracell
Externí odkaz:
https://doaj.org/article/dce15d66ff4e4beb8d050cb8c9361eb1
Autor:
Ioannis Polykretis, Andreea Danielescu
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Navigation of mobile agents in unknown, unmapped environments is a critical task for achieving general autonomy. Recent advancements in combining Reinforcement Learning with Deep Neural Networks have shown promising results in addressing this challen
Externí odkaz:
https://doaj.org/article/53f7bd2fa9d244e5bfe20b086b6530d6
Autor:
Abid, K., Foti, A., Khaskhoussi, A., Celesti, C., D'Andrea, C., Polykretis, P., Matteini, P., Iannazzo, D., Maalej, R., Gucciardi, P.G., Neri, G.
Publikováno v:
In Electrochimica Acta 20 January 2024 475
Autor:
Cristiano D’Andrea, Federico Angelo Cazzaniga, Edoardo Bistaffa, Andrea Barucci, Marella de Angelis, Martina Banchelli, Edoardo Farnesi, Panagis Polykretis, Chiara Marzi, Antonio Indaco, Pietro Tiraboschi, Giorgio Giaccone, Paolo Matteini, Fabio Moda
Publikováno v:
Translational Neurodegeneration, Vol 12, Iss 1, Pp 1-12 (2023)
Abstract Background The current diagnosis of Alzheimer’s disease (AD) is based on a series of analyses which involve clinical, instrumental and laboratory findings. However, signs, symptoms and biomarker alterations observed in AD might overlap wit
Externí odkaz:
https://doaj.org/article/1a3f7a382ad8441eb6790e942af636f3
Locomotion is a crucial challenge for legged robots that is addressed "effortlessly" by biological networks abundant in nature, named central pattern generators (CPG). The multitude of CPG network models that have so far become biomimetic robotic con
Externí odkaz:
http://arxiv.org/abs/2006.04765
Autor:
Panagis Polykretis, Alberto Donzelli, Janci C. Lindsay, David Wiseman, Anthony M. Kyriakopoulos, Michael Mörz, Paolo Bellavite, Masanori Fukushima, Stephanie Seneff, Peter A. McCullough
Publikováno v:
Autoimmunity, Vol 56, Iss 1 (2023)
As a result of the spread of SARS-CoV-2, a global pandemic was declared. Indiscriminate COVID-19 vaccination has been extended to include age groups and naturally immune people with minimal danger of suffering serious complications due to COVID-19. S
Externí odkaz:
https://doaj.org/article/59e1c8784d754c04b64e1aab5ef3a501
Autor:
Tang, Guangzhi, Polykretis, Ioannis E., Ivanov, Vladimir A., Shah, Arpit, Michmizos, Konstantinos P.
Publikováno v:
ACM Proceeding NICE '19 Proceedings of the 7th Annual Neuro-inspired Computational Elements Workshop, 2019
While there is still a lot to learn about astrocytes and their neuromodulatory role in the spatial and temporal integration of neuronal activity, their introduction to neuromorphic hardware is timely, facilitating their computational exploration in b
Externí odkaz:
http://arxiv.org/abs/1907.01620