Michael G. Famulare
Affiliations: | University of Washington, Seattle, Seattle, WA |
Area:
stochastic modeling, adaptation,Google:
"Michael Famulare"Mean distance: 15.85 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentor| Adrienne Fairhall | grad student | 2007-2012 | University of Washington | |
| (Probabilistic Neural Coding from Deterministic Neural Dynamics: Mathematics and biophysics of adaptive single neuron computation.) | ||||
Collaborators
Sign in to add collaborator| Brian Nils Lundstrom | collaborator | 2008-2009 | University of Washington |
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Publications
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| Mease RA, Famulare M, Gjorgjieva J, et al. (2013) Emergence of adaptive computation by single neurons in the developing cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 33: 12154-70 |
| Goldwyn JH, Imennov NS, Famulare M, et al. (2011) Stochastic differential equation models for ion channel noise in Hodgkin-Huxley neurons. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 83: 041908 |
| Goldwyn JH, Imennov NS, Famulare M, et al. (2011) Publisher’s Note: Stochastic differential equation models for ion channel noise in Hodgkin-Huxley neurons [Phys. Rev. E83, 041908 (2011)] Physical Review E. 83 |
| Gjorgjieva J, Famulare M, Mease R, et al. (2011) Implications of single-neuron gain scaling for information transmission in networks Nature Precedings. 6: 1-1 |
| Famulare M, Fairhall A. (2010) Feature selection in simple neurons: how coding depends on spiking dynamics. Neural Computation. 22: 581-98 |
| Lundstrom BN, Famulare M, Sorensen LB, et al. (2009) Sensitivity of firing rate to input fluctuations depends on time scale separation between fast and slow variables in single neurons. Journal of Computational Neuroscience. 27: 277-90 |