Improved space breakdown method - A robust clustering technique for spike sorting.

Journal Information

Full Title: Front Comput Neurosci

Abbreviation: Front Comput Neurosci

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Neurosciences

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
4/6
66.7% Transparent
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Evidence found in paper:

"code available at https://github com/ardeleanrichard/space-breakdown-method clustering density grid spike sorting machine learning overlapping clusters different density one of the most prominent techniques for recording the activity of the brain is extracellular electrophysiology ( )."

Evidence found in paper:

"Conflict of interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest."

Evidence found in paper:

"This research leading to these results had received funding from: NO (Norway) Grants 2014-2021, under project contract number 20/2020 (RO-NO-2019-0504), three grants from the Romanian National Authority for Scientific Research and Innovation, CNCS-UEFISCDI (codes PN-III-P3-3.6-H2020-2020-0109, ERANET-FLAG-ERA-ModelDXConsciousness, and ERANET-NEURON-Unscrambly), and a H2020 grant funded by the European Commission (grant agreement 952096, NEUROTWIN)."

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Open Access
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Last Updated: Aug 05, 2025