Zobrazeno 1 - 10
of 217
pro vyhledávání: '"Pier Luigi Dragotti"'
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Spiking neural networks (SNNs) are well-suited to process asynchronous event-based data. Most of the existing SNNs use rate-coding schemes that focus on firing rate (FR), and so they generally ignore the spike timing in events. On the contrary, metho
Externí odkaz:
https://doaj.org/article/8eddd8be773948e399c5c61812bd814f
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
The authors show that heterogeneity in spiking neural networks improves accuracy and robustness of prediction for complex information processing tasks, results in optimal parameter distribution similar to experimental data and is metabolically effici
Externí odkaz:
https://doaj.org/article/5f3aee1234744188899e09099851da31
Autor:
Siying Liu, Pier Luigi Dragotti
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1bc7c08f49f3c02be3eb70e05d2d765
https://doi.org/10.1109/tpami.2023.3278940
https://doi.org/10.1109/tpami.2023.3278940
Autor:
Su Yarn, Herman Verinaz-Jadan, Jun-Jie Huang, Nathan Daly, Catherine Higgitt, Pier Luigi Dragotti
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2df2f0ecfd844cef1e564f0d9107df92
https://doi.org/10.1109/icassp49357.2023.10096322
https://doi.org/10.1109/icassp49357.2023.10096322
Autor:
Marek Hilton, Pier Luigi Dragotti
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d177fec6a2b5c35b897898d1efe3ace3
https://doi.org/10.1109/icassp49357.2023.10095620
https://doi.org/10.1109/icassp49357.2023.10095620
Autor:
Herman Verinaz-Jadan, Carmel L. Howe, Pingfan Song, Flavie Lesept, Josef Kittler, Amanda J. Foust, Pier Luigi Dragotti
Light Field Microscopy (LFM) is an imaging technique that offers the opportunity to study fast dynamics in biological systems due to its rapid 3D imaging rate. In particular, it is attractive to analyze neuronal activity in the brain. Unlike scanning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2799630faacd4c62d3d2b420afe257fa
https://doi.org/10.1101/2022.10.11.511633
https://doi.org/10.1101/2022.10.11.511633
Autor:
Tianyi Li, Yichen Guo, Xiaofei Wang, Xin Deng, Lai Jiang, Lisong Dai, Liu Li, Xiangyang Xu, Mai Xu, Zulin Wang, Pier Luigi Dragotti
Publikováno v:
IEEE Transactions on Medical Imaging. 40:2463-2476
Given the outbreak of COVID-19 pandemic and the shortage of medical resource, extensive deep learning models have been proposed for automatic COVID-19 diagnosis, based on 3D computed tomography (CT) scans. However, the existing models independently p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f07758128685acbf81517148a77d2520
https://doi.org/10.1109/tmi.2021.3079709
https://doi.org/10.1109/tmi.2021.3079709
Publikováno v:
2022 30th European Signal Processing Conference (EUSIPCO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbbc2a9c2cb688550b07892aec2a33e0
https://doi.org/10.23919/eusipco55093.2022.9909646
https://doi.org/10.23919/eusipco55093.2022.9909646
Publikováno v:
IEEE Transactions on Signal Processing. 69:5539-5554
We consider diffusion fields induced by multiple localised and instantaneous sources. We assume a mobile sensor samples the field, uniformly along a piecewise linear trajectory, which is unknown. The problem we address is the estimation of the amplit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa6df9b152c305e41cab8505bc79396a
https://doi.org/10.1109/tsp.2021.3113789
https://doi.org/10.1109/tsp.2021.3113789
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2a7a3fde6db1e29ef7a6887a5549113
https://doi.org/10.1109/icassp43922.2022.9746508
https://doi.org/10.1109/icassp43922.2022.9746508