Professor of Physics
Professor in Neurobiology (Secondary)
Faculty Network Member of the Duke Institute for Brain Sciences
After working in nonlinear dynamics and nonequilibrium pattern formation for many years, my research group has begun studying problems in theoretical neurobiology in collaboration with Professor Richard Mooney's experimental group on birdsong at Duke University. The main scientific question we are interested in is how songbirds learn to sing their song, which is a leading experimental paradigm for the broader neurobiology question of how animals learn behaviors that involve sequences of time. My group is interested in problems arising at the cellular and network levels (as opposed to behavioral levels). One example is understanding the origin, mechanism, and eventually the purpose of highly sparse high-frequency bursts of spikes that are observed in the nucleus HVC of songbird brains (this is the first place where auditory information seems to be combined with motor information). A second example is to understand how auditory and motor information are combined, e.g., there are data that suggests that the same group of neurons that instruct the respiratory and syringeal muscles to produce song (again in nucleus HVC) are also involved in recognizing song. A third example is trying to understand changes in anatomy (increases in spine stability) that were recently observed in living brain tissue as a bird learns its song.
Krystal, A. D., et al. “EEG correlates of the response to ECT.” Biological Psychiatry, vol. 41, ELSEVIER SCIENCE INC, Apr. 1997, pp. 189–189.
Zoldi, S. M., and H. S. Greenside. “Karhunen-loève decomposition of extensive chaos.” Physical Review Letters, vol. 78, no. 9, Mar. 1997, pp. 1687–90. Scopus, doi:10.1103/PhysRevLett.78.1687. Full Text
Zoldi, S. M., et al. “Statistical analysis of redundancy and stationarity in multi-channel EEG.” Journal of Mathematical Psychology, vol. 40, no. 4, ACADEMIC PRESS INC JNL-COMP SUBSCRIPTIONS, Dec. 1996, pp. 354–55.
Krystal, A. D., et al. “A comparison of EEG signal dynamics in waking, after anesthesia induction and during electroconvulsive therapy seizures.” Electroencephalogr Clin Neurophysiol, vol. 99, no. 2, Aug. 1996, pp. 129–40. Pubmed, doi:10.1016/0013-4694(96)95090-7. Full Text
O’Hern, C. S., et al. “Lyapunov spectral analysis of a nonequilibrium Ising-like transition.” Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, vol. 53, no. 4, Apr. 1996, pp. 3374–86. Epmc, doi:10.1103/physreve.53.3374. Full Text
O’Hern, C. S., et al. “Lyapunov spectral analysis of a nonequilibrium Ising-like transition.” Physical Review E Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, vol. 53, no. 4 SUPPL. A, 1996, pp. 3374–86.
Egolf, D. A., and H. S. Greenside. “Characterization of the transition from defect to phase turbulence.” Physical Review Letters, vol. 74, no. 10, Mar. 1995, pp. 1751–54. Epmc, doi:10.1103/physrevlett.74.1751. Full Text
Egolf, D. A., and H. S. Greenside. “Spatial variation of correlation times for 1D phase turbulence.” Physics Letters A, vol. 185, no. 4, Feb. 1994, pp. 395–400. Scopus, doi:10.1016/0375-9601(94)90173-2. Full Text
Egolf, D. A., and H. S. Greenside. “Relation between fractal dimension and spatial correlation length for extensive chaos.” Nature, vol. 369, no. 6476, Jan. 1994, pp. 129–31. Scopus, doi:10.1038/369129a0. Full Text
Bayly, P. V., et al. “A quantitative measurement of spatial order in ventricular fibrillation.” Journal of Cardiovascular Electrophysiology, vol. 4, no. 5, Oct. 1993, pp. 533–46. Epmc, doi:10.1111/j.1540-8167.1993.tb01242.x. Full Text