Brian H. Hu, PhD
Affiliations: | 2011-2017 | Biomedical Engineering (Zanvyl Krieger Mind/Brain Institute) | Johns Hopkins University, Baltimore, MD |
| 2017-2020 | Allen Institute for Brain Science, Seattle, WA, United States |
Area:
Visual system, attention, computer visionGoogle:
"Brian Hu"Mean distance: 14.93 (cluster 17) | S | N | B | C | P |
Cross-listing: Chemistry Tree
Parents
Sign in to add mentor| Aaron P. Batista | research assistant | 2009-2011 | University of Pittsburgh, School of Medicine |
| Ernst Niebur | grad student | 2012-2017 | Johns Hopkins |
| Stefan Mihalas | research scientist | 2017-2020 | Allen Institute |
BETA: Related publications
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Publications
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| Voina D, Recanatesi S, Hu B, et al. (2022) Single Circuit in V1 Capable of Switching Contexts during Movement Using an Inhibitory Population as a Switch. Neural Computation. 1-54 |
| Hu B, Garrett ME, Groblewski PA, et al. (2021) Adaptation supports short-term memory in a visual change detection task. Plos Computational Biology. 17: e1009246 |
| 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 |
| Siegle JH, Jia X, Durand S, et al. (2021) Survey of spiking in the mouse visual system reveals functional hierarchy. Nature |
| Iyer R, Hu B, Mihalas S. (2020) Contextual Integration in Cortical and Convolutional Neural Networks. Frontiers in Computational Neuroscience. 14: 31 |
| 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 |
| Hu B, Niebur E. (2017) A recurrent neural model for proto-object based contour integration and figure-ground segregation. Journal of Computational Neuroscience |
| Hu B, Kane-Jackson R, Niebur E. (2015) A proto-object based saliency model in three-dimensional space. Vision Research |