2 citations · 4 across the 4 of their papers we have counts for
Showing 2017Show all
2 papers · 1 filter
q-bio.NC2017★ 1 cited
Chance, long tails, and inference: a non-Gaussian, Bayesian theory of vocal learning in songbirds
Baohua Zhou, David Hofmann, Itai Pinkoviezky +2
Traditional theories of sensorimotor learning posit that animals use sensory error signals to find the optimal motor command in the face of Gaussian sensory and motor noise. Howeve…
q-bio.MN2017★ 1 cited
Reverse-engineering biological networks from large data sets
Joseph L. Natale, David Hofmann, Damian G. Hernández +1
Much of contemporary systems biology owes its success to the abstraction of a network, the idea that diverse kinds of molecular, cellular, and organismal species and interactions c…