Integrated platform and API for electrophysiological data

Autor: Andrey eSobolev, Adrian eStoewer, Aljoscha Pascal Leonhardt, Philipp L. Rautenberg, Christian Johannes Kellner, Christian eGarbers, Thomas eWachtler

Publikováno v: Frontiers in Neuroinformatics, Vol 8 (2014)

Recent advancements in technology and methodology have led to growing amounts of increasingly complex neuroscience data recorded from various species, modalities, and levels of study. The rapid data growth has made efficient data access and flexible,

Externí odkaz: https://doaj.org/article/fffa4b19808f473cadf14e1e3fe3bcbb

Neuron-Miner: An Advanced Tool for Morphological Search and Retrieval in Neuroscientific Image Databases

Autor: Sepideh Mesbah, Amin Katouzian, Sailesh Conjeti, Nassir Navab, Mohammadreza Negahdar, Philipp L. Rautenberg, Shaoting Zhang

Publikováno v: Neuroinformatics. 14:369-385

The steadily growing amounts of digital neuroscientific data demands for a reliable, systematic, and computationally effective retrieval algorithm. In this paper, we present Neuron-Miner, which is a tool for fast and accurate reference-based retrieva

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1bde2994fafcca1e5d9332cd2354481
https://doi.org/10.1007/s12021-016-9300-2

Hashing Forests for Morphological Search and Retrieval in Neuroscientific Image Databases

Autor: Sailesh Conjeti, Ajayrama Kumaraswamy, Amin Katouzian, Sepideh Mesbah, Philipp L. Rautenberg, Nassir Navab

Publikováno v: Lecture Notes in Computer Science ISBN: 9783319245706
MICCAI (2)

In this paper, for the first time, we propose a data-driven search and retrieval (hashing) technique for large neuron image databases. The presented method is established upon hashing forests, where multiple unsupervised random trees are used to enco

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bee5e570549557e9f7152d33fd2d12ef
https://doi.org/10.1007/978-3-319-24571-3_17

Integrated platform and API for electrophysiological data

Autor: Aljoscha Leonhardt, Andrey Sobolev, Christian Kellner, Philipp L. Rautenberg, Christian Garbers, Thomas Wachtler, Adrian Stoewer

Publikováno v: Frontiers in Neuroinformatics, Vol 8 (2014)
Frontiers in Neuroinformatics

Recent advancements in technology and methodology have led to growing amounts of increasingly complex neuroscience data recorded from various species, modalities, and levels of study. The rapid data growth has made efficient data access and flexible,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9170aaacdaa6fb80713e87bd32323e5
http://journal.frontiersin.org/Journal/10.3389/fninf.2014.00032/full

Neo: an object model for handling electrophysiology data in multiple formats

Autor: Andrey Sobolev, Philipp L. Rautenberg, Pierre Yger, Chris C. Rodgers, Robert Pröpper, Samuel Garcia, Thomas Wachtler, Andrew P. Davison, Todd R. Jennings, Florent Jaillet, Domenico Guarino

Publikováno v: Frontiers in Neuroinformatics
Frontiers in Neuroinformatics, Vol 8 (2014)
Front Neuroinform
Front Neuroinform, 2014, 8, pp.10. ⟨10.3389/fninf.2014.00010⟩

Neuroscientists use many different software tools to acquire, analyse and visualise electrophysiological signals. However, incompatible data models and file formats make it difficult to exchange data between these tools. This reduces scientific produ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d51456603deea8d980ea92b1f0d09dee
https://doi.org/10.3389/fninf.2014.00010