Michael Buice, Ph.D.

Affiliations: 
Allen Institute for Brain Science, Seattle, WA, United States 
Area:
visual system, computation & theory
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"Michael Buice"
Mean distance: 15.59 (cluster 17)
 
Cross-listing: Computer Science Tree

Parents

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Jack D. Cowan grad student 2005 Chicago
 (Neural networks, field theory, directed percolation, and critical branching.)
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Publications

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Hawrylycz M, Anastassiou C, Arkhipov A, et al. (2016) Inferring cortical function in the mouse visual system through large-scale systems neuroscience. Proceedings of the National Academy of Sciences of the United States of America. 113: 7337-44
Koch C, Buice MA. (2015) A Biological Imitation Game. Cell. 163: 277-80
Chow CC, Buice MA. (2015) Path integral methods for stochastic differential equations. Journal of Mathematical Neuroscience. 5: 8
Buice MA, Chow CC. (2013) Beyond mean field theory: statistical field theory for neural networks. Journal of Statistical Mechanics (Online). 2013: P03003
Buice MA, Chow CC. (2013) Generalized activity equations for spiking neural network dynamics. Frontiers in Computational Neuroscience. 7: 162
Iyer R, Menon V, Buice M, et al. (2013) The influence of synaptic weight distribution on neuronal population dynamics. Plos Computational Biology. 9: e1003248
Yoon K, Buice MA, Barry C, et al. (2013) Specific evidence of low-dimensional continuous attractor dynamics in grid cells. Nature Neuroscience. 16: 1077-84
Buice MA, Chow CC. (2013) Dynamic finite size effects in spiking neural networks. Plos Computational Biology. 9: e1002872
Buice MA, Chow CC. (2011) Effective stochastic behavior in dynamical systems with incomplete information. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 84: 051120
Buice MA, Cowan JD, Chow CC. (2010) Systematic fluctuation expansion for neural network activity equations. Neural Computation. 22: 377-426
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