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Items: 1 to 20 of 101

1.

Accurate Estimation of Neural Population Dynamics without Spike Sorting.

Trautmann EM, Stavisky SD, Lahiri S, Ames KC, Kaufman MT, O'Shea DJ, Vyas S, Sun X, Ryu SI, Ganguli S, Shenoy KV.

Neuron. 2019 Jul 17;103(2):292-308.e4. doi: 10.1016/j.neuron.2019.05.003. Epub 2019 Jun 3.

PMID:
31171448
2.

To sort or not to sort: the impact of spike-sorting on neural decoding performance.

Todorova S, Sadtler P, Batista A, Chase S, Ventura V.

J Neural Eng. 2014 Oct;11(5):056005. doi: 10.1088/1741-2560/11/5/056005. Epub 2014 Aug 1.

3.

Clusterless Decoding of Position from Multiunit Activity Using a Marked Point Process Filter.

Deng X, Liu DF, Kay K, Frank LM, Eden UT.

Neural Comput. 2015 Jul;27(7):1438-60. doi: 10.1162/NECO_a_00744. Epub 2015 May 14.

4.

Comparison of spike sorting and thresholding of voltage waveforms for intracortical brain-machine interface performance.

Christie BP, Tat DM, Irwin ZT, Gilja V, Nuyujukian P, Foster JD, Ryu SI, Shenoy KV, Thompson DE, Chestek CA.

J Neural Eng. 2015 Feb;12(1):016009. doi: 10.1088/1741-2560/12/1/016009. Epub 2014 Dec 11.

5.

A nonparametric Bayesian alternative to spike sorting.

Wood F, Black MJ.

J Neurosci Methods. 2008 Aug 15;173(1):1-12. doi: 10.1016/j.jneumeth.2008.04.030. Epub 2008 May 16.

6.

Robust, automatic spike sorting using mixtures of multivariate t-distributions.

Shoham S, Fellows MR, Normann RA.

J Neurosci Methods. 2003 Aug 15;127(2):111-22.

PMID:
12906941
7.

State-space analysis of time-varying higher-order spike correlation for multiple neural spike train data.

Shimazaki H, Amari S, Brown EN, GrĂ¼n S.

PLoS Comput Biol. 2012;8(3):e1002385. doi: 10.1371/journal.pcbi.1002385. Epub 2012 Mar 8.

8.

The need for calcium imaging in nonhuman primates: New motor neuroscience and brain-machine interfaces.

O'Shea DJ, Trautmann E, Chandrasekaran C, Stavisky S, Kao JC, Sahani M, Ryu S, Deisseroth K, Shenoy KV.

Exp Neurol. 2017 Jan;287(Pt 4):437-451. doi: 10.1016/j.expneurol.2016.08.003. Epub 2016 Aug 7. Review.

10.

An overview of Bayesian methods for neural spike train analysis.

Chen Z.

Comput Intell Neurosci. 2013;2013:251905. doi: 10.1155/2013/251905. Epub 2013 Nov 17. Review.

11.

Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity.

Yu BM, Cunningham JP, Santhanam G, Ryu SI, Shenoy KV, Sahani M.

J Neurophysiol. 2009 Jul;102(1):614-35. doi: 10.1152/jn.90941.2008. Epub 2009 Apr 8. Erratum in: J Neurophysiol. 2009 Sep;102(3):2008.

12.

Trial-by-Trial Motor Cortical Correlates of a Rapidly Adapting Visuomotor Internal Model.

Stavisky SD, Kao JC, Ryu SI, Shenoy KV.

J Neurosci. 2017 Feb 15;37(7):1721-1732. doi: 10.1523/JNEUROSCI.1091-16.2016. Epub 2017 Jan 13.

13.

An analytical comparison of the information in sorted and non-sorted cosine-tuned spike activity.

Won DS, Tiesinga PH, Henriquez CS, Wolf PD.

J Neural Eng. 2007 Sep;4(3):322-35. Epub 2007 Aug 6.

PMID:
17873434
14.

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 8;13:96. doi: 10.1186/1471-2202-13-96.

15.

A review on cluster estimation methods and their application to neural spike data.

Zhang J, Nguyen T, Cogill S, Bhatti A, Luo L, Yang S, Nahavandi S.

J Neural Eng. 2018 Jun;15(3):031003. doi: 10.1088/1741-2552/aab385. Epub 2018 Mar 2. Review.

PMID:
29498353
16.

Post-spike distance-to-threshold trajectories of neurones in monkey motor cortex.

Wetmore DZ, Baker SN.

J Physiol. 2004 Mar 16;555(Pt 3):831-50. Epub 2004 Jan 14.

17.
18.

Learning by neural reassociation.

Golub MD, Sadtler PT, Oby ER, Quick KM, Ryu SI, Tyler-Kabara EC, Batista AP, Chase SM, Yu BM.

Nat Neurosci. 2018 Apr;21(4):607-616. doi: 10.1038/s41593-018-0095-3. Epub 2018 Mar 12. Erratum in: Nat Neurosci. 2018 Aug;21(8):1138.

19.

A Copula-Based Granger Causality Measure for the Analysis of Neural Spike Train Data.

Hu M, Li W, Liang H.

IEEE/ACM Trans Comput Biol Bioinform. 2018 Mar-Apr;15(2):562-569. doi: 10.1109/TCBB.2014.2388311.

PMID:
29610104
20.

Automated spike sorting using density grid contour clustering and subtractive waveform decomposition.

Vargas-Irwin C, Donoghue JP.

J Neurosci Methods. 2007 Aug 15;164(1):1-18. Epub 2007 Apr 12.

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