Ernest Niebur
Affiliations: | Johns Hopkins University, Baltimore, MD |
Area:
Neuroscience Biology, Biomedical EngineeringGoogle:
"Ernest Niebur"Mean distance: 53433
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Publications
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| Chokshi V, Grier BD, Dykman A, et al. (2021) Naturalistic Spike Trains Drive State-Dependent Homeostatic Plasticity in Superficial Layers of Visual Cortex. Frontiers in Synaptic Neuroscience. 13: 663282 |
| Wagatsuma N, Hu B, von der Heydt R, et al. (2021) Analysis of spiking synchrony in visual cortex reveals distinct types of top-down modulation signals for spatial and object-based attention. Plos Computational Biology. 17: e1008829 |
| Hu B, von der Heydt R, Niebur E. (2019) Figure-ground organization in natural scenes: Performance of a recurrent neural model compared with neurons of area V2. Eneuro |
| Grier B, Chokshi V, Dykman A, et al. (2019) Role of neuronal activity and metaplastic state in homeostatic synaptic plasticity Ibro Reports. 6: S402-S403 |
| Hu B, Niebur E. (2017) A recurrent neural model for proto-object based contour integration and figure-ground segregation. Journal of Computational Neuroscience |
| Wagatsuma N, von der Heydt R, Niebur E. (2016) Spike Synchrony Generated by Modulatory Common Input through NMDA-type Synapses. Journal of Neurophysiology. jn.01142.2015 |
| Gomez-Ramirez M, Hysaj K, Niebur E. (2016) Neural mechanisms of selective attention in the somatosensory system. Journal of Neurophysiology. jn.00637.2015 |
| Wagatsuma N, von der Heydt R, Niebur E. (2015) The role of horizontal connections for the modulation of border-ownership selective neurons in visual cortex Bmc Neuroscience. 16 |
| Jeck D, Niebur E. (2015) Closed form jitter methods for neuronal spike train analysis 2015 49th Annual Conference On Information Sciences and Systems, Ciss 2015 |
| Jeck D, Niebur E. (2015) Neuronal common input strength is unidentifiable from average firing rates and synchrony 2015 49th Annual Conference On Information Sciences and Systems, Ciss 2015 |