2 citations · 4 across the 4 of their papers we have counts for
4 papers
Inferring phenomenological models of first passage processes
Catalina Rivera, David Hofmann, Ilya Nemenman
Biochemical processes in cells are governed by complex networks of many chemical species interacting stochastically in diverse ways and on different time scales. Constructing micro…
Ultrafast population coding and axo-somatic compartmentalization
Chenfei Zhang, David Hofmann, Andreas Neef +1
Cortical neurons in the fluctuation driven regime can realize ultrafast population encoding. The underlying biophysical mechanisms, however, are not well understood. Reducing the s…
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…
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…