Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Polykretis P"'
Autor:
D’Andrea Cristiano, Banchelli Martina, Amicucci Chiara, Polykretis Panagis, Micheletti Filippo, de Angelis Marella, Hwang Byungil, Matteini Paolo
Publikováno v:
Journal of the European Optical Society-Rapid Publications, Vol 20, Iss 1, p 10 (2024)
A wearable sweat sensor chip based on surface-enhanced Raman spectroscopy (SERS) is here presented. The plasmonic core of the chip, obtained by deposition of silver nanowires on a polytetrafluoroethylene (PTFE) porous membrane, permits the direct and
Externí odkaz:
https://doaj.org/article/e3b40bf69ae14d1aada0fcc103020a7d
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:
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
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:
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
Increasing experimental evidence suggests that axonal action potential conduction velocity is a highly adaptive parameter in the adult central nervous system. Yet, the effects of this newfound plasticity on global brain dynamics is poorly understood.
Externí odkaz:
http://arxiv.org/abs/1903.09671
Deciphering the complex interactions between neurotransmission and astrocytic $Ca^{2+}$ elevations is a target promising a comprehensive understanding of brain function. While the astrocytic response to excitatory synaptic activity has been extensive
Externí odkaz:
http://arxiv.org/abs/1903.07533
Understanding the role of astrocytes in brain computation is a nascent challenge, promising immense rewards, in terms of new neurobiological knowledge that can be translated into artificial intelligence. In our ongoing effort to identify principles e
Externí odkaz:
http://arxiv.org/abs/1807.02514