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Items: 1 to 50 of 63

1.

The formation of preference in risky choice.

Glickman M, Sharoni O, Levy DJ, Niebur E, Stuphorn V, Usher M.

PLoS Comput Biol. 2019 Aug 29;15(8):e1007201. doi: 10.1371/journal.pcbi.1007201. eCollection 2019 Aug.

2.

Figure-Ground Organization in Natural Scenes: Performance of a Recurrent Neural Model Compared with Neurons of Area V2.

Hu B, von der Heydt R, Niebur E.

eNeuro. 2019 Jun 28;6(3). pii: ENEURO.0479-18.2019. doi: 10.1523/ENEURO.0479-18.2019. Print 2019 May/Jun.

3.

Unique objects attract attention even when faint.

Jeck DM, Qin M, Egeth H, Niebur E.

Vision Res. 2019 Jul;160:60-71. doi: 10.1016/j.visres.2019.04.004. Epub 2019 May 21.

PMID:
31047908
4.

Risk-taking bias in human decision-making is encoded via a right-left brain push-pull system.

Sacré P, Kerr MSD, Subramanian S, Fitzgerald Z, Kahn K, Johnson MA, Niebur E, Eden UT, González-Martínez JA, Gale JT, Sarma SV.

Proc Natl Acad Sci U S A. 2019 Jan 22;116(4):1404-1413. doi: 10.1073/pnas.1811259115. Epub 2019 Jan 7.

5.

Short-term depression and transient memory in sensory cortex.

Gillary G, Heydt RV, Niebur E.

J Comput Neurosci. 2017 Dec;43(3):273-294. doi: 10.1007/s10827-017-0662-8. Epub 2017 Oct 13.

6.

A recurrent neural model for proto-object based contour integration and figure-ground segregation.

Hu B, Niebur E.

J Comput Neurosci. 2017 Dec;43(3):227-242. doi: 10.1007/s10827-017-0659-3. Epub 2017 Sep 19.

7.

Attentive pointing in natural scenes correlates with other measures of attention.

Jeck DM, Qin M, Egeth H, Niebur E.

Vision Res. 2017 Jun;135:54-64. doi: 10.1016/j.visres.2017.04.001. Epub 2017 May 8.

8.

The Edge of Stability: Response Times and Delta Oscillations in Balanced Networks.

Gillary G, Niebur E.

PLoS Comput Biol. 2016 Sep 30;12(9):e1005121. doi: 10.1371/journal.pcbi.1005121. eCollection 2016 Sep.

9.

Spike synchrony generated by modulatory common input through NMDA-type synapses.

Wagatsuma N, von der Heydt R, Niebur E.

J Neurophysiol. 2016 Sep 1;116(3):1418-33. doi: 10.1152/jn.01142.2015. Epub 2016 Jul 13.

10.

Neural mechanisms of selective attention in the somatosensory system.

Gomez-Ramirez M, Hysaj K, Niebur E.

J Neurophysiol. 2016 Sep 1;116(3):1218-31. doi: 10.1152/jn.00637.2015. Epub 2016 Jun 22. Review.

11.

Suppressing epileptic activity in a neural mass model using a closed-loop proportional-integral controller.

Wang J, Niebur E, Hu J, Li X.

Sci Rep. 2016 Jun 7;6:27344. doi: 10.1038/srep27344.

12.

A proto-object based saliency model in three-dimensional space.

Hu B, Kane-Jackson R, Niebur E.

Vision Res. 2016 Feb;119:42-9. doi: 10.1016/j.visres.2015.12.004. Epub 2016 Jan 19.

13.

Temporal correlation mechanisms and their role in feature selection: a single-unit study in primate somatosensory cortex.

Gomez-Ramirez M, Trzcinski NK, Mihalas S, Niebur E, Hsiao SS.

PLoS Biol. 2014 Nov 25;12(11):e1002004. doi: 10.1371/journal.pbio.1002004. eCollection 2014 Nov.

14.

Local spectral anisotropy is a valid cue for figure-ground organization in natural scenes.

Ramenahalli S, Mihalas S, Niebur E.

Vision Res. 2014 Oct;103:116-26. doi: 10.1016/j.visres.2014.08.012. Epub 2014 Aug 29.

15.

Locally Contractive Dynamics in Generalized Integrate-and-Fire Neurons.

Jimenez ND, Mihalas S, Brown R, Niebur E, Rubin J.

SIAM J Appl Dyn Syst. 2013 Sep 10;12(3):1474-1514.

16.

Visual Attention and Applications in Multimedia Technologies.

Le Callet P, Niebur E.

Proc IEEE Inst Electr Electron Eng. 2013 Sep;101(9):2058-2067.

17.

A model of proto-object based saliency.

Russell AF, Mihalaş S, von der Heydt R, Niebur E, Etienne-Cummings R.

Vision Res. 2014 Jan;94:1-15. doi: 10.1016/j.visres.2013.10.005. Epub 2013 Oct 31.

18.

Mechanisms underlying the influence of saliency on value-based decisions.

Chen X, Mihalas S, Niebur E, Stuphorn V.

J Vis. 2013 Oct 28;13(12):18. doi: 10.1167/13.12.18.

19.

A simple model of mechanotransduction in primate glabrous skin.

Dong Y, Mihalas S, Kim SS, Yoshioka T, Bensmaia S, Niebur E.

J Neurophysiol. 2013 Mar;109(5):1350-9. doi: 10.1152/jn.00395.2012. Epub 2012 Dec 12.

20.

Parameter estimation of a spiking silicon neuron.

Russell A, Mazurek K, Mihalaş S, Niebur E, Etienne-Cummings R.

IEEE Trans Biomed Circuits Syst. 2012 Apr;6(2):133-41. doi: 10.1109/TBCAS.2011.2182650.

21.

Estimating parameters of generalized integrate-and-fire neurons from the maximum likelihood of spike trains.

Dong Y, Mihalas S, Russell A, Etienne-Cummings R, Niebur E.

Neural Comput. 2011 Nov;23(11):2833-67. doi: 10.1162/NECO_a_00196. Epub 2011 Aug 18.

22.

Self-organized criticality occurs in non-conservative neuronal networks during Up states.

Millman D, Mihalas S, Kirkwood A, Niebur E.

Nat Phys. 2010 Oct;6(10):801-805.

23.

Mechanisms of perceptual organization provide auto-zoom and auto-localization for attention to objects.

Mihalas S, Dong Y, von der Heydt R, Niebur E.

Proc Natl Acad Sci U S A. 2011 May 3;108(18):7583-8. doi: 10.1073/pnas.1014655108. Epub 2011 Apr 18.

24.

Improved integral equation solution for the first passage time of leaky integrate-and-fire neurons.

Dong Y, Mihalas S, Niebur E.

Neural Comput. 2011 Feb;23(2):421-34. doi: 10.1162/NECO_a_00078. Epub 2010 Nov 24.

25.

Optimization methods for spiking neurons and networks.

Russell A, Orchard G, Dong Y, Mihalas S, Niebur E, Tapson J, Etienne-Cummings R.

IEEE Trans Neural Netw. 2010 Dec;21(12):1950-62. doi: 10.1109/TNN.2010.2083685. Epub 2010 Oct 18.

26.

Everyone knows what is interesting: salient locations which should be fixated.

Masciocchi CM, Mihalas S, Parkhurst D, Niebur E.

J Vis. 2009 Oct 27;9(11):25.1-22. doi: 10.1167/9.11.25.

27.

Temporal tagging of attended objects.

Niebur E.

Proc Natl Acad Sci U S A. 2009 Feb 24;106(8):2479-80. doi: 10.1073/pnas.0813308106. No abstract available.

28.

Synchrony and the binding problem in macaque visual cortex.

Dong Y, Mihalas S, Qiu F, von der Heydt R, Niebur E.

J Vis. 2008 Nov 11;8(7):30.1-16. doi: 10.1167/8.7.30.

29.

Neural correlates of high-gamma oscillations (60-200 Hz) in macaque local field potentials and their potential implications in electrocorticography.

Ray S, Crone NE, Niebur E, Franaszczuk PJ, Hsiao SS.

J Neurosci. 2008 Nov 5;28(45):11526-36. doi: 10.1523/JNEUROSCI.2848-08.2008.

30.

A generalized linear integrate-and-fire neural model produces diverse spiking behaviors.

Mihalaş S, Niebur E.

Neural Comput. 2009 Mar;21(3):704-18. doi: 10.1162/neco.2008.12-07-680.

31.

Effect of stimulus intensity on the spike-local field potential relationship in the secondary somatosensory cortex.

Ray S, Hsiao SS, Crone NE, Franaszczuk PJ, Niebur E.

J Neurosci. 2008 Jul 16;28(29):7334-43. doi: 10.1523/JNEUROSCI.1588-08.2008.

32.

Exact solutions for rate and synchrony in recurrent networks of coincidence detectors.

Mikula S, Niebur E.

Neural Comput. 2008 Nov;20(11):2637-61. doi: 10.1162/neco.2008.07-07-570.

33.

A model for neuronal competition during development.

Deppmann CD, Mihalas S, Sharma N, Lonze BE, Niebur E, Ginty DD.

Science. 2008 Apr 18;320(5874):369-73. doi: 10.1126/science.1152677. Epub 2008 Mar 6.

34.

Research, robots, and reality: A statement on current trends in biorobotics.

Niebur E, Elhilali M, Obeid I, Werfel J, Blanchard M, Frasca M, Ghose K, Hofstoetter C, Indiveri G, Tilden MW.

Behav Brain Sci. 2001 Dec;24(6):1072-1073. doi: 10.1017/S0140525X01450126.

PMID:
18241384
35.

High-frequency gamma activity (80-150Hz) is increased in human cortex during selective attention.

Ray S, Niebur E, Hsiao SS, Sinai A, Crone NE.

Clin Neurophysiol. 2008 Jan;119(1):116-33. Epub 2007 Nov 26.

36.

Synchrony: a neural correlate of somatosensory attention.

Roy A, Steinmetz PN, Hsiao SS, Johnson KO, Niebur E.

J Neurophysiol. 2007 Sep;98(3):1645-61. Epub 2007 Jun 27.

37.
38.

A neural model of figure-ground organization.

Craft E, Schütze H, Niebur E, von der Heydt R.

J Neurophysiol. 2007 Jun;97(6):4310-26. Epub 2007 Apr 18.

39.

A novel method for visualizing functional connectivity using principal component analysis.

Mikula S, Niebur E.

Int J Neurosci. 2006 Apr;116(4):419-29.

PMID:
16574580
40.

Phase transitions in multiplicative competitive processes.

Shimazaki H, Niebur E.

Phys Rev E Stat Nonlin Soft Matter Phys. 2005 Jul;72(1 Pt 1):011912. Epub 2005 Jul 20.

PMID:
16090006
41.
42.

Correlated inhibitory and excitatory inputs to the coincidence detector: analytical solution.

Mikula S, Niebur E.

IEEE Trans Neural Netw. 2004 Sep;15(5):957-62.

PMID:
15484872
43.

Texture contrast attracts overt visual attention in natural scenes.

Parkhurst DJ, Niebur E.

Eur J Neurosci. 2004 Feb;19(3):783-9.

PMID:
14984430
44.

Synaptic depression leads to nonmonotonic frequency dependence in the coincidence detector.

Mikula S, Niebur E.

Neural Comput. 2003 Oct;15(10):2339-58.

PMID:
14511524
45.

Scene content selected by active vision.

Parkhurst DJ, Niebur E.

Spat Vis. 2003;16(2):125-54.

PMID:
12696858
46.

Variable-resolution displays: a theoretical, practical, and behavioral evaluation.

Parkhurst DJ, Niebur E.

Hum Factors. 2002 Winter;44(4):611-29.

PMID:
12691369
47.

The effects of input rate and synchrony on a coincidence detector: analytical solution.

Mikula S, Niebur E.

Neural Comput. 2003 Mar;15(3):539-47.

PMID:
12625330
48.

Electrophysiological correlates of synchronous neural activity and attention: a short review.

Niebur E.

Biosystems. 2002 Oct-Dec;67(1-3):157-66. Review.

PMID:
12459295
49.

Synchrony: a neuronal mechanism for attentional selection?

Niebur E, Hsiao SS, Johnson KO.

Curr Opin Neurobiol. 2002 Apr;12(2):190-4. Review.

PMID:
12015236
50.

Modeling the role of salience in the allocation of overt visual attention.

Parkhurst D, Law K, Niebur E.

Vision Res. 2002 Jan;42(1):107-23.

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