Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Martino Sorbaro"'
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Event-based dynamic vision sensors provide very sparse output in the form of spikes, which makes them suitable for low-power applications. Convolutional spiking neural networks model such event-based data and develop their full energy-saving potentia
Externí odkaz:
https://doaj.org/article/9d57208df4ca46518753066eece02e6d
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
In the last few years, spiking neural networks (SNNs) have been demonstrated to perform on par with regular convolutional neural networks. Several works have proposed methods to convert a pre-trained CNN to a Spiking CNN without a significant sacrifi
Externí odkaz:
https://doaj.org/article/00f151ba3db64b6588d28c673a8afa72
Autor:
Gerrit Hilgen, Martino Sorbaro, Sahar Pirmoradian, Jens-Oliver Muthmann, Ibolya Edit Kepiro, Simona Ullo, Cesar Juarez Ramirez, Albert Puente Encinas, Alessandro Maccione, Luca Berdondini, Vittorio Murino, Diego Sona, Francesca Cella Zanacchi, Evelyne Sernagor, Matthias Helge Hennig
Publikováno v:
Cell Reports, Vol 18, Iss 10, Pp 2521-2532 (2017)
We present a method for automated spike sorting for recordings with high-density, large-scale multielectrode arrays. Exploiting the dense sampling of single neurons by multiple electrodes, an efficient, low-dimensional representation of detected spik
Externí odkaz:
https://doaj.org/article/a49c7d44815a4d37870d24515b6baacb
Publikováno v:
Entropy, Vol 22, Iss 7, p 714 (2020)
In this work we explore encoding strategies learned by statistical models of sensory coding in noisy spiking networks. Early stages of sensory communication in neural systems can be viewed as encoding channels in the information-theoretic sense. Howe
Externí odkaz:
https://doaj.org/article/05db1e7d74dd45c194d2f2f60de40478
Publikováno v:
Advances in Neurobiology ISBN: 9783030111342
Reliable spike detection and sorting, the process of assigning each detected spike to its originating neuron, are essential steps in the analysis of extracellular electrical recordings from neurons. The volume and complexity of the data from recently
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e2e7b839a127058d8b02762f59e8d92
https://doi.org/10.1007/978-3-030-11135-9_7
https://doi.org/10.1007/978-3-030-11135-9_7
Autor:
Sahar Pirmoradian, Matthias H. Hennig, Diego Sona, Jens Oliver Muthmann, Evelyne Sernagor, Francesca Cella Zanacchi, Simona Ullo, Alessandro Maccione, Ibolya E. Kepiro, Gerrit Hilgen, Luca Berdondini, Vittorio Murino, Upinder S. Bhalla, Martino Sorbaro, Cesar Juarez Ramirez
A new method for automated spike sorting for recordings with high density, large scale multielectrode arrays is presented. Exploiting the dense sampling of single neurons by multiple electrodes, we obtain an efficient, low-dimensional representation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dae4c245887eaf85ba630397be29cae9