149 related articles for article (PubMed ID: 19964726)
1. Spike library based simulator for extracellular single unit neuronal signals.
Thorbergsson PT; Jorntell H; Bengtsson F; Garwicz M; Schouenborg J; Johansson A
Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():6998-7001. PubMed ID: 19964726
[TBL] [Abstract][Full Text] [Related]
2. Statistical modelling of spike libraries for simulation of extracellular recordings in the cerebellum.
Thorbergsson PT; Garwicz M; Schouenborg J; Johansson A
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():4250-3. PubMed ID: 21096640
[TBL] [Abstract][Full Text] [Related]
3. SHYBRID: A Graphical Tool for Generating Hybrid Ground-Truth Spiking Data for Evaluating Spike Sorting Performance.
Wouters J; Kloosterman F; Bertrand A
Neuroinformatics; 2021 Jan; 19(1):141-158. PubMed ID: 32617751
[TBL] [Abstract][Full Text] [Related]
4. MEArec: A Fast and Customizable Testbench Simulator for Ground-truth Extracellular Spiking Activity.
Buccino AP; Einevoll GT
Neuroinformatics; 2021 Jan; 19(1):185-204. PubMed ID: 32648042
[TBL] [Abstract][Full Text] [Related]
5. Evaluation of Spike Sorting Algorithms: Application to Human Subthalamic Nucleus Recordings and Simulations.
Sukiban J; Voges N; Dembek TA; Pauli R; Visser-Vandewalle V; Denker M; Weber I; Timmermann L; Grün S
Neuroscience; 2019 Aug; 414():168-185. PubMed ID: 31299347
[TBL] [Abstract][Full Text] [Related]
6. Minimizing data transfer with sustained performance in wireless brain-machine interfaces.
Thorbergsson PT; Garwicz M; Schouenborg J; Johansson AJ
J Neural Eng; 2012 Jun; 9(3):036005. PubMed ID: 22523005
[TBL] [Abstract][Full Text] [Related]
7. ViSAPy: a Python tool for biophysics-based generation of virtual spiking activity for evaluation of spike-sorting algorithms.
Hagen E; Ness TV; Khosrowshahi A; Sørensen C; Fyhn M; Hafting T; Franke F; Einevoll GT
J Neurosci Methods; 2015 Apr; 245():182-204. PubMed ID: 25662445
[TBL] [Abstract][Full Text] [Related]
8. Computationally efficient simulation of extracellular recordings with multielectrode arrays.
Thorbergsson PT; Garwicz M; Schouenborg J; Johansson AJ
J Neurosci Methods; 2012 Oct; 211(1):133-44. PubMed ID: 22960053
[TBL] [Abstract][Full Text] [Related]
9. Optimal filtering for spike sorting of multi-site electrode recordings.
Vollgraf R; Munk M; Obermayer K
Network; 2005 Mar; 16(1):85-113. PubMed ID: 16350435
[TBL] [Abstract][Full Text] [Related]
10. Towards online spike sorting for high-density neural probes using discriminative template matching with suppression of interfering spikes.
Wouters J; Kloosterman F; Bertrand A
J Neural Eng; 2018 Oct; 15(5):056005. PubMed ID: 29932426
[TBL] [Abstract][Full Text] [Related]
11. A tool for synthesizing spike trains with realistic interference.
Smith LS; Mtetwa N
J Neurosci Methods; 2007 Jan; 159(1):170-80. PubMed ID: 16887194
[TBL] [Abstract][Full Text] [Related]
12. Fast simulation of extracellular action potential signatures based on a morphological filtering approximation.
Tran H; Ranta R; Le Cam S; Louis-Dorr V
J Comput Neurosci; 2020 Feb; 48(1):27-46. PubMed ID: 31953614
[TBL] [Abstract][Full Text] [Related]
13. Evaluation and resolution of many challenges of neural spike sorting: a new sorter.
Hall NJ; Herzfeld DJ; Lisberger SG
J Neurophysiol; 2021 Dec; 126(6):2065-2090. PubMed ID: 34788137
[TBL] [Abstract][Full Text] [Related]
14. Minimum requirements for accurate and efficient real-time on-chip spike sorting.
Navajas J; Barsakcioglu DY; Eftekhar A; Jackson A; Constandinou TG; Quian Quiroga R
J Neurosci Methods; 2014 Jun; 230():51-64. PubMed ID: 24769170
[TBL] [Abstract][Full Text] [Related]
15. Fractal dimension analysis for spike detection in low SNR extracellular signals.
Salmasi M; Büttner U; Glasauer S
J Neural Eng; 2016 Jun; 13(3):036004. PubMed ID: 27064604
[TBL] [Abstract][Full Text] [Related]
16. A stationary wavelet transform and a time-frequency based spike detection algorithm for extracellular recorded data.
Lieb F; Stark HG; Thielemann C
J Neural Eng; 2017 Jun; 14(3):036013. PubMed ID: 28272020
[TBL] [Abstract][Full Text] [Related]
17. Independent Component Analysis for Fully Automated Multi-Electrode Array Spike Sorting.
Buccino AP; Hagen E; Einevoll GT; Hafliger PD; Cauwenbergh G
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():2627-2630. PubMed ID: 30440947
[TBL] [Abstract][Full Text] [Related]
18. Spike sorting of synchronous spikes from local neuron ensembles.
Franke F; Pröpper R; Alle H; Meier P; Geiger JR; Obermayer K; Munk MH
J Neurophysiol; 2015 Oct; 114(4):2535-49. PubMed ID: 26289473
[TBL] [Abstract][Full Text] [Related]
19. Detection of neuronal spikes using an adaptive threshold based on the max-min spread sorting method.
Chan HL; Lin MA; Wu T; Lee ST; Tsai YT; Chao PK
J Neurosci Methods; 2008 Jul; 172(1):112-21. PubMed ID: 18508127
[TBL] [Abstract][Full Text] [Related]
20. An online spike detection and spike classification algorithm capable of instantaneous resolution of overlapping spikes.
Franke F; Natora M; Boucsein C; Munk MHJ; Obermayer K
J Comput Neurosci; 2010 Aug; 29(1-2):127-148. PubMed ID: 19499318
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
