James Jun
Affiliations: | University of Ottawa, Ottawa, ON, Canada |
Area:
NeurophysicsWebsite:
http://jamesjun.orgGoogle:
"James Jun"Mean distance: 14.27 (cluster 6) | S | N | B | C | P |
Parents
Sign in to add mentorAndré Longtin | grad student | 2007- | University of Ottawa | |
Leonard Maler | grad student | 2007- | University of Ottawa | |
Tim Harris | post-doc | 2014- | Janelia Research Campus | |
(Large-scale electrophysiology) |
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Publications
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Wallach A, Harvey-Girard E, Jun JJ, et al. (2018) A time-stamp mechanism may provide temporal information necessary for egocentric to allocentric spatial transformations. Elife. 7 |
Melanson A, Mejias JF, Jun JJ, et al. (2017) Nonstationary Stochastic Dynamics Underlie Spontaneous Transitions between Active and Inactive Behavioral States. Eneuro. 4 |
Jun JJ, Longtin A, Maler L. (2016) Active sensing associated with spatial learning reveals memory-based attention in an electric fish. Journal of Neurophysiology. jn.00979.2015 |
Jun JJ, Longtin A, Maler L. (2014) Enhanced sensory sampling precedes self-initiated locomotion in an electric fish. The Journal of Experimental Biology. 217: 3615-28 |
Jun JJ, Longtin A, Maler L. (2014) Long-term behavioral tracking of freely swimming weakly electric fish. Journal of Visualized Experiments : Jove |
Jun JJ, Longtin A, Maler L. (2014) Real-time localization of moving dipole sources for tracking multiple free-swimming weakly electric fish (PLoS ONE (2013) 8, 6 (e66596) DOI: 10.1371/journal.pone.0066596) Plos One. 9 |
Melanson A, Mejias JF, Jun JJ, et al. (2014) A phenomenological model for self-initiated movement in electric fish Bmc Neuroscience. 15 |
Jun JJ, Longtin A, Maler L. (2014) Enhanced attention precedes self-initiated locomotion in an electric fish Bmc Neuroscience. 15 |
Jun JJ, Longtin A, Maler L. (2013) Real-Time Localization of Moving Dipole Sources for Tracking Multiple Free-Swimming Weakly Electric Fish. Plos One. 8: e66596 |
Kiar G, Mamatjan Y, Jun J, et al. (2013) Electrical localization of weakly electric fish using neural networks Journal of Physics: Conference Series. 434 |