BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

358 related articles for article (PubMed ID: 22871125)

  • 1. Automatic online spike sorting with singular value decomposition and fuzzy C-mean clustering.
    Oliynyk A; Bonifazzi C; Montani F; Fadiga L
    BMC Neurosci; 2012 Aug; 13():96. PubMed ID: 22871125
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Online spike sorting via deep contractive autoencoder.
    Radmanesh M; Rezaei AA; Jalili M; Hashemi A; Goudarzi MM
    Neural Netw; 2022 Nov; 155():39-49. PubMed ID: 36041279
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Noise-robust unsupervised spike sorting based on discriminative subspace learning with outlier handling.
    Keshtkaran MR; Yang Z
    J Neural Eng; 2017 Jun; 14(3):036003. PubMed ID: 28198354
    [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. Automatic sorting for multi-neuronal activity recorded with tetrodes in the presence of overlapping spikes.
    Takahashi S; Anzai Y; Sakurai Y
    J Neurophysiol; 2003 Apr; 89(4):2245-58. PubMed ID: 12612049
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Computationally efficient fully-automatic online neural spike detection and sorting in presence of multi-unit activity for implantable circuits.
    Tariq T; Satti MH; Kamboh HM; Saeed M; Kamboh AM
    Comput Methods Programs Biomed; 2019 Oct; 179():104986. PubMed ID: 31443868
    [TBL] [Abstract][Full Text] [Related]  

  • 7. SpikeDeep-classifier: a deep-learning based fully automatic offline spike sorting algorithm.
    Saif-Ur-Rehman M; Ali O; Dyck S; Lienkämper R; Metzler M; Parpaley Y; Wellmer J; Liu C; Lee B; Kellis S; Andersen R; Iossifidis I; Glasmachers T; Klaes C
    J Neural Eng; 2021 Feb; 18(1):. PubMed ID: 33166944
    [No Abstract]   [Full Text] [Related]  

  • 8. 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]  

  • 9. Fuzzy logic-based spike sorting system.
    Balasubramanian K; Obeid I
    J Neurosci Methods; 2011 May; 198(1):125-34. PubMed ID: 21463653
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Extracellular spike detection from multiple electrode array using novel intelligent filter and ensemble fuzzy decision making.
    Azami H; Escudero J; Darzi A; Sanei S
    J Neurosci Methods; 2015 Jan; 239():129-38. PubMed ID: 25455341
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep-learned spike representations and sorting via an ensemble of auto-encoders.
    Eom J; Park IY; Kim S; Jang H; Park S; Huh Y; Hwang D
    Neural Netw; 2021 Feb; 134():131-142. PubMed ID: 33307279
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Cluster tendency assessment in neuronal spike data.
    Mahallati S; Bezdek JC; Popovic MR; Valiante TA
    PLoS One; 2019; 14(11):e0224547. PubMed ID: 31714913
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A data-driven spike sorting feature map for resolving spike overlap in the feature space.
    Wouters J; Kloosterman F; Bertrand A
    J Neural Eng; 2021 Jul; 18(4):. PubMed ID: 34181592
    [No Abstract]   [Full Text] [Related]  

  • 15. NASS: an empirical approach to spike sorting with overlap resolution based on a hybrid noise-assisted methodology.
    Adamos DA; Laskaris NA; Kosmidis EK; Theophilidis G
    J Neurosci Methods; 2010 Jun; 190(1):129-42. PubMed ID: 20434486
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Spike sorting using locality preserving projection with gap statistics and landmark-based spectral clustering.
    Nguyen T; Khosravi A; Creighton D; Nahavandi S
    J Neurosci Methods; 2014 Dec; 238():43-53. PubMed ID: 25256647
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification of Retinal Ganglion Cell Firing Patterns Using Clustering Analysis Supplied with Failure Diagnosis.
    Ghahari A; Kumar SR; Badea TC
    Int J Neural Syst; 2018 Oct; 28(8):1850008. PubMed ID: 29631502
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An unsupervised automatic method for sorting neuronal spike waveforms in awake and freely moving animals.
    Aksenova TI; Chibirova OK; Dryga OA; Tetko IV; Benabid AL; Villa AE
    Methods; 2003 Jun; 30(2):178-87. PubMed ID: 12725785
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automatical Spike Sorting With Low-Rank and Sparse Representation.
    Huang L; Gan L; Zeng Y; Ling BW
    IEEE Trans Biomed Eng; 2024 May; 71(5):1677-1686. PubMed ID: 38147418
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Model-based spike sorting with a mixture of drifting t-distributions.
    Shan KQ; Lubenov EV; Siapas AG
    J Neurosci Methods; 2017 Aug; 288():82-98. PubMed ID: 28652008
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.