Johns Hopkins University, Department of Neuroscience

 

Ernst Niebur - Recent Publications

Mihalas, S. & Niebur, E. ( in press). A generalized linear integrate-and-fireneural model produces diverse spiking behavior. Neural Computation.

Niebur, E. (2008a). Neuronal cable theory. Scholarpedia, 3 (5), 2674.

Niebur, E. (2008b). Electrical properties of cell membranes. Scholarpedia, 3 (6),7166.

Deppmann, C. D., Mihalas, S., Sharma, N., Lonze, B. E., Niebur, E., & Ginty,D. D. (2008). A model for neuronal competition during development.  Science, 320 (5874), 369-73.

Dong, Y., Mihalas, S., Qiu, F., von der Heydt, R., & Niebur, E. (2008). Synchrony and the binding problem in macaque visual cortex. Journal of Vision, in press.

Mikula, S. & Niebur, E. (2008). Exact solutions for rate and synchrony inrecurrent networks of coincidence detectors. Neural Computation, in press.

Ray, S., Hsiao, S. S., Crone, N. E., Franaszczuk, P. J., & Niebur, E. (2008a).Effect of stimulus intensity on the spike-local field potential relationship in the secondary somatosensory cortex. J. Neurosci., 28 (29), 7334-43.

Ray, S., Niebur, E., Hsiao, S. S., Sinai, S., & Crone, N. E. (2008b). High-frequency gamma activity (80-150 Hz) is increased in human cortex during selective attention. Clinical Neurophysiology, 119 (1), 116-33.

Roy, A., Steinmetz, P. N., Hsiao, S. S., Johnson, K. O., & Niebur, E. (2007).Synchrony: A neural correlate of somatosensory attention. J. Neurophysiology, 98, 1645-61.

Niebur, E. (2007). Generation of synthetic spike trains with defined pairwisecorrelations. Neural Computation, 19, 1720-38.

Craft, E., Schütze, H., Niebur, E., & von der Heydt, R. (2007). A neural modelof figure-ground organization. J. Neurophysiology, 97 (6), 4310-26. Niebur, E. (2007). The saliency map. Scholarpedia, 2 (8), 2675.

Shimazaki, H. & Niebur, E. (2006). Correlated multiplicative modulation incoupled oscillator systems: a model of selective attention. Progress of Theoretical Physics Suppl., 161, 336-9.

Mikula, S. & Niebur, E. (2006). A novel method for visualizing functionalconnectivity using principal component analysis. Intern. J Neuroscience, 116 (4), 419-429.

Shimazaki, H. & Niebur, E. Correlated multiplicative modulation in coupled oscillator systems: a model of selective attention. Progress of Theoretical Physics Suppl. 1-4.  [PDF]

Mikula, S. & Niebur, E. (2006). A novel method for visualizing functional connectivity using principal component analysis. Intern. J Neuroscience, 116, 419{429. [LINK]

Shimazaki, H. & Niebur, E. Phase transitions in multiplicative competitive processes. Physical Review E, 72, 01192{1 { 01192{4.  [PDF]

Mikula, S. & Niebur, E. (2005). Rate and synchrony in feedforward networks of coincidence detectors: Analytical solution. Neural Computation, 14 (4), 881{902.  [PDF]


Mikula, S. & Niebur, E. (2004). Correlated inhibitory and excitatory inputs to the coincidence detector: analytical solution". IEEE Transactions on Neural Networks, 15 (5).

Parkhurst, D. & Niebur, E. (2004). Texture contrast attracts overt visual attention in natural scenes. European J. Neuroscience, 19 (3), 783-789. [PDF]

Mikula, S. & Niebur, E. (2003). Synaptic depression leads to nonmonotonic frequency dependence in the coincidence detector. Neural Computation, 15 (10), 2339-2358. [PDF]

Niebur, E., Hsiao, S. S., & Johnson, K. O. (2002). Synchrony: a neuronal mechanism for attentional selection?. Current Opinion In Neurobiology, 12 (2), 190-194. [PDF]

Steinmetz, P. N., Roy, A., Fitzgerald, P., Hsiao, S. S., Johnson, K. O., & Niebur, E. (2000). Attention modulates synchronized neuronal ring in primate somatosensory cortex. Nature, 404, 187-190. [LINK]

 

 


 

© 2005 Department of Neuroscience, Johns Hopkins University School of Medicine