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Items: 1 to 20 of 97

1.

Inferring single-trial neural population dynamics using sequential auto-encoders.

Pandarinath C, O'Shea DJ, Collins J, Jozefowicz R, Stavisky SD, Kao JC, Trautmann EM, Kaufman MT, Ryu SI, Hochberg LR, Henderson JM, Shenoy KV, Abbott LF, Sussillo D.

Nat Methods. 2018 Oct;15(10):805-815. doi: 10.1038/s41592-018-0109-9. Epub 2018 Sep 17.

2.

Neural dynamics as sampling: a model for stochastic computation in recurrent networks of spiking neurons.

Buesing L, Bill J, Nessler B, Maass W.

PLoS Comput Biol. 2011 Nov;7(11):e1002211. doi: 10.1371/journal.pcbi.1002211. Epub 2011 Nov 3.

3.

An orderly single-trial organization of population dynamics in premotor cortex predicts behavioral variability.

Wei Z, Inagaki H, Li N, Svoboda K, Druckmann S.

Nat Commun. 2019 Jan 15;10(1):216. doi: 10.1038/s41467-018-08141-6.

4.

Dissociation between sustained single-neuron spiking and transient β-LFP oscillations in primate motor cortex.

Rule ME, Vargas-Irwin CE, Donoghue JP, Truccolo W.

J Neurophysiol. 2017 Apr 1;117(4):1524-1543. doi: 10.1152/jn.00651.2016. Epub 2017 Jan 18.

5.

Neural population dynamics in human motor cortex during movements in people with ALS.

Pandarinath C, Gilja V, Blabe CH, Nuyujukian P, Sarma AA, Sorice BL, Eskandar EN, Hochberg LR, Henderson JM, Shenoy KV.

Elife. 2015 Jun 23;4:e07436. doi: 10.7554/eLife.07436.

6.

Latent Factors and Dynamics in Motor Cortex and Their Application to Brain-Machine Interfaces.

Pandarinath C, Ames KC, Russo AA, Farshchian A, Miller LE, Dyer EL, Kao JC.

J Neurosci. 2018 Oct 31;38(44):9390-9401. doi: 10.1523/JNEUROSCI.1669-18.2018. Review.

7.

Latent inputs improve estimates of neural encoding in motor cortex.

Chase SM, Schwartz AB, Kass RE.

J Neurosci. 2010 Oct 13;30(41):13873-82. doi: 10.1523/JNEUROSCI.2325-10.2010.

8.

Inferring oscillatory modulation in neural spike trains.

Arai K, Kass RE.

PLoS Comput Biol. 2017 Oct 6;13(10):e1005596. doi: 10.1371/journal.pcbi.1005596. eCollection 2017 Oct.

9.

Superlinear Summation of Information in Premotor Neuron Pairs.

Montani F, Oliynyk A, Fadiga L.

Int J Neural Syst. 2017 Mar;27(2):1650009. doi: 10.1142/S012906571650009X. Epub 2015 Dec 20.

PMID:
26906455
10.

Neuronal interactions improve cortical population coding of movement direction.

Maynard EM, Hatsopoulos NG, Ojakangas CL, Acuna BD, Sanes JN, Normann RA, Donoghue JP.

J Neurosci. 1999 Sep 15;19(18):8083-93.

11.

Estimation of neuronal firing rate using Bayesian Adaptive Kernel Smoother (BAKS).

Ahmadi N, Constandinou TG, Bouganis CS.

PLoS One. 2018 Nov 21;13(11):e0206794. doi: 10.1371/journal.pone.0206794. eCollection 2018.

12.

Estimating network parameters from combined dynamics of firing rate and irregularity of single neurons.

Hamaguchi K, Riehle A, Brunel N.

J Neurophysiol. 2011 Jan;105(1):487-500. doi: 10.1152/jn.00858.2009. Epub 2010 Aug 18.

13.

Revealing unobserved factors underlying cortical activity with a rectified latent variable model applied to neural population recordings.

Whiteway MR, Butts DA.

J Neurophysiol. 2017 Mar 1;117(3):919-936. doi: 10.1152/jn.00698.2016. Epub 2016 Dec 7.

14.

Single-trial dynamics of motor cortex and their applications to brain-machine interfaces.

Kao JC, Nuyujukian P, Ryu SI, Churchland MM, Cunningham JP, Shenoy KV.

Nat Commun. 2015 Jul 29;6:7759. doi: 10.1038/ncomms8759.

15.

Extracting Low-Dimensional Latent Structure from Time Series in the Presence of Delays.

Lakshmanan KC, Sadtler PT, Tyler-Kabara EC, Batista AP, Yu BM.

Neural Comput. 2015 Sep;27(9):1825-56. doi: 10.1162/NECO_a_00759. Epub 2015 Jun 16.

16.

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.

17.

Propagating waves can explain irregular neural dynamics.

Keane A, Gong P.

J Neurosci. 2015 Jan 28;35(4):1591-605. doi: 10.1523/JNEUROSCI.1669-14.2015.

18.

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.

19.

From point process observations to collective neural dynamics: Nonlinear Hawkes process GLMs, low-dimensional dynamics and coarse graining.

Truccolo W.

J Physiol Paris. 2016 Nov;110(4 Pt A):336-347. doi: 10.1016/j.jphysparis.2017.02.004. Epub 2017 May 25. Review.

20.

Latent state-space models for neural decoding.

Aghagolzadeh M, Truccolo W.

Conf Proc IEEE Eng Med Biol Soc. 2014;2014:3033-6. doi: 10.1109/EMBC.2014.6944262.

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