Henry Greenside


Faculty Network Member of Duke Institute for Brain Sciences

097 Physics Bldg, Science Drive, Durham, NC 27708
Campus Box: 
(919) 660-2548
(919) 660-2525


Stable propagation of a burst through a one-dimensional homogeneous excitatory chain model of songbird nucleus HVC
Physical Review E (2006)

Characterization of the domain chaos convection state by the largest Lyapunov exponent
Physical Review E (2006)

Enhanced tracer transport by the spiral defect chaos state of a convecting fluid
Physical Review E (2005)

Pattern Formation and Dynamics in Rayleigh-Benard Convection: Numerical Simulations of Experimentally Realistic Geometries
Physica D (2003)

Efficient simulation of three-dimensional anisotropic cardiac tissue using an adaptive mesh refinement method
Chaos (2003)

Efficient algorithm on a nonstaggered mesh for simulating Rayleigh-Benard convection in a box
Physical Review E (2003)

Mean Flow Dynamics of Stripe Textures and Spiral Defect Chaos in Rayleigh-Benard Convection
Physical Review E (2003)

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.

Ph.D. - Princeton University
MS - Princeton
M.A. - Princeton University
B.A. - Harvard University

Simulating Complex Dynamics In Intermediate And Large-Aspect-Ratio Convection Systems
In 18th Symposium on Energy Engineering Sciences edited by . ; : Argonne National Laboratory.

Spatiotemporal Chaos in Large Systems: The Scaling of Complexity With Size
In Semi-Analytic Methods for the Navier Stokes Equations edited by K. Coughlin. ; pp. 9-40. : American Mathematical Society, Providence, RI.

The Spatiotemporal Dynamics of Generalized Tonic-Clonic Seizure EEG Data: Relevance To the Clinical Practice of Electroconvulsive Therapy
In Nonlinear Dynamics in Brain Function edited by . ; : In Press.

The EEG Effects of ECT: Implications for rTMS
In Progress in Neuropsychopharmacology and Biological Psychiatry edited by . ; : In Press.

2001 Barbara and Randall Smith Duke Faculty Enrichment Award