Jan R. Engelbrecht
Affiliations: | Boston College, Newton, MA, United States |
Area:
Condensed Matter PhysicsGoogle:
"Jan Engelbrecht"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Anthony J. Leggett | grad student | 1988-1993 | UIUC | |
| (Dissertation: Topics in many-body physics) | ||||
| Kevin Shawn Bedell | post-doc | 1993-1996 | Boston College | |
Children
Sign in to add trainee| Hongbo Zhao | grad student | 2003 | Boston College |
| Bolun Chen | grad student | 2011-2017 | Boston College |
| Tong Yang | grad student | 2018-2021 | Boston College |
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Publications
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| Engelbrecht JR, Mirollo R. (2020) Is the Ott-Antonsen manifold attracting? Physical Review Research. 2 |
| Chen B, Engelbrecht JR, Mirollo R. (2019) Dynamics of the Kuramoto-Sakaguchi oscillator network with asymmetric order parameter. Chaos (Woodbury, N.Y.). 29: 013126 |
| Chen B, Engelbrecht JR, Mirollo R. (2017) Cluster synchronization in networks of identical oscillators with α-function pulse coupling. Physical Review. E. 95: 022207 |
| Chen B, Engelbrecht JR, Mirollo R. (2017) Hyperbolic geometry of Kuramoto oscillator networks Journal of Physics a: Mathematical and Theoretical. 50: 355101 |
| Engelbrecht JR, Mirollo R. (2014) Classification of attractors for systems of identical coupled Kuramoto oscillators. Chaos (Woodbury, N.Y.). 24: 013114 |
| Engelbrecht JR, Chen B, Mirollo R. (2014) Splay states in networks of identical integrate-and-fire neurons Bmc Neuroscience. 15 |
| Chen B, Engelbrecht JR, Mirollo R. (2014) Scaling of spike-timing based neuron model for mammalian olfaction with network size Bmc Neuroscience. 15: P90 |
| Engelbrecht JR, Loncich K, Mirollo R, et al. (2013) Rhythm-induced spike-timing patterns characterized by 1D firing maps. Journal of Computational Neuroscience. 34: 59-71 |
| Engelbrecht JR, Mirollo R. (2012) Structure of long-term average frequencies for Kuramoto oscillator systems. Physical Review Letters. 109: 034103 |
| Engelbrecht JR, Mirollo R. (2009) Dynamical phase transitions in periodically driven model neurons. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 79: 021904 |