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Proceedings of a Workshop on Statistics on Networks (2007)
Board on Mathematical Sciences and Their Applications (BMSA)

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. "Keynote Address, Day 2--Variability, Homeostasis per Contents and Compensation in Rhythmic Motor Networks--Eve Marder, Brandeis University." Proceedings of a Workshop on Statistics on Networks. Washington, DC: The National Academies Press, 2007.

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Proceedings of a Workshop on Statistics on Networks

on that says I want to burst at approximately this frequency. Those then become set points for a series of homeostatic tuning.

REFERENCES

Bucher, D., A.A. Prinz, and E. Marder. 2005. “Animal-to-animal variability in motor pattern production in adults and during growth.” Journal of Neuroscience 25:1611-1619.

Goldman, M.S., J. Golowasch, E. Marder, and L.F. Abbott. 2001. “Global structure, robustness, and modulation of neuronal models.” Journal of Neuroscience 21:5229-5238.

Liu, Z., J. Golowasch, E. Marder, and L.F. Abbott. 1998. “A model neuron with activity-dependent conductances regulated by multiple calcium sensors.” Journal of Neuroscience 18:2309-2320.

Prinz, A.A., D. Bucher, and E. Marder. 2004. “Similar network activity from disparate circuit parameters.” Nature Neuroscience 7:1345-1352.

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Front Matter (R1-R10)
Keynote Address, Day 1 Network Complexity and Robustness--John Doyle, California Institute of Technology (1-61)
Neurons, Networks, and Noise: An Introduction--Nancy Kopell, Boston University (62-73)
Mixing Patterns and Community Structure in Networks--Mark Newman, University of Michigan and Santa Fe Institute (74-119)
Dynamic Networks--Embedded Networked Sensing (Redux?)--Deborah Estrin, University of California at Los Angeles (120-168)
Dynamic Network Analysis in Counterterrorism Research--Kathleen Carley, Carnegie Mellon University (169-187)
Data and Measurement--Current Developments in a Cortically Controlled Brain-Machine Interface--Nicho Hatsopoulos, University of Chicago (188-206)
Some Implications of Path-Based Sampling on the Internet--Eric D. Kolaczyk, Boston University (207-225)
Network Data and Models--Martina Morris, University of Washington (226-253)
The State of the Art in Social Network Analysis--Stephen P. Borgatti, Boston College (254-269)
Keynote Address, Day 2--Variability, Homeostasis per Contents and Compensation in Rhythmic Motor Networks--Eve Marder, Brandeis University (270-291)
Dynamics and Resilience of Blood Flow in Cortical Microvessels--David Kleinfeld, University of California at San Diego (292-316)
Robustness and Fragility--Jean M. Carlson, University of California at Santa Barbara (317-342)
Stability and Degeneracy of Network Models--Mark S. Handcock, University of Washington (343-374)
Visualization and Scalability--Characterizing Brain Networks with Granger Causality--Mingzhou Ding, University of Florida (375-395)
Visualization and Variation: Tracking Complex Networks Across Time and Space--Jon Kleinberg, Cornell University (396-424)
Dependency Networks for Relational Data--David Jensen, University of Massachusetts (425-449)
Appendix A Workshop Agenda and List of Attendees (450-454)
Appendix B Biographical Sketches of Workshop Speakers (455-460)