Ari Pakman
Affiliations: | Columbia University, New York, NY |
Area:
statistical neuroscienceGoogle:
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Publications
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Gabitto MI, Pakman A, Bikoff JB, et al. (2016) Bayesian Sparse Regression Analysis Documents the Diversity of Spinal Inhibitory Interneurons. Cell |
Pakman A, Huggins J, Smith C, et al. (2014) Fast state-space methods for inferring dendritic synaptic connectivity. Journal of Computational Neuroscience. 36: 415-43 |
Pakman A, Paninski L. (2014) Exact Hamiltonian Monte Carlo for truncated multivariate gaussians Journal of Computational and Graphical Statistics. 23: 518-542 |
Pnevmatikakis EA, Merel J, Pakman A, et al. (2013) Bayesian spike inference from calcium imaging data Conference Record - Asilomar Conference On Signals, Systems and Computers. 349-353 |
Pakman A, Rastelli L, Razamat SS. (2009) Extremal correlators and Hurwitz numbers in symmetric product orbifolds Physical Review D - Particles, Fields, Gravitation and Cosmology. 80 |
Pakman A, Rastelli L, Razamat SS. (2009) Diagrams for symmetric product orbifolds Journal of High Energy Physics. 2009 |
Pakman A, Parnachev A. (2008) Topological entanglement entropy and holography Journal of High Energy Physics. 2008: 097-097 |
Pakman A. (2006) Liouville theory without an action Physics Letters B. 642: 263-269 |
Israel D, Kounnas C, Pakman A, et al. (2004) The partition function of the supersymmetric two-dimensional black hole and little string theory Journal of High Energy Physics. 2004: 33-33 |
Israël D, Pakman A, Troost J. (2004) Extended SL(2,Bbb R)/U(1) characters, or modular properties of a simple non-rational conformal field theory Journal of High Energy Physics. 2004: 43-43 |