Signal Denoising with Recurrent Spiking Neural Networks and Active Tuning

dc.contributor.author	Ciurletti, Melvin
dc.contributor.author	Traub, Manuel
dc.contributor.author	Karlbauer, Matthias
dc.contributor.author	Butz, Martin V.
dc.contributor.author	Otte, Sebastian
dc.date.accessioned	2022-04-01T15:27:14Z
dc.date.available	2022-04-01T15:27:14Z
dc.date.issued	2021
dc.identifier.isbn	978-3-030-86382-1
dc.identifier.isbn	978-3-030-86383-8
dc.identifier.uri	http://hdl.handle.net/10900/125915
dc.language.iso	en	de_DE
dc.publisher	Cham: Springer	de_DE
dc.relation.ispartofseries	Lecture Notes in Computer Science;12895
dc.relation.uri	https://doi.org/10.1007/978-3-030-86383-8_18	de_DE
dc.subject.ddc	004	de_DE
dc.title	Signal Denoising with Recurrent Spiking Neural Networks and Active Tuning	de_DE
dc.type	BookPart	de_DE
utue.publikation.seiten	220-232	de_DE
utue.personen.roh	Ciurletti, Melvin
utue.personen.roh	Traub, Manuel
utue.personen.roh	Karlbauer, Matthias
utue.personen.roh	Butz, Martin V.
utue.personen.roh	Otte, Sebastian
utue.publikation.buchdesbeitrags	Farkaš, I., Masulli, P., Otte, S., Wermter, S. (eds) Artificial Neural Networks and Machine Learning – ICANN 2021	de_DE