no code implementations • 14 Jul 2017 • Takafumi Arakaki, G. Barello, Yashar Ahmadian
We address this problem by proposing to view mechanistic network models as generative models whose parameters can be optimized to fit the distribution of experimentally measured tuning curves.
no code implementations • NeurIPS 2011 • Zachary Pitkow, Yashar Ahmadian, Ken D. Miller
On the contrary, here we show that many probability distributions have marginals that cannot be reached by belief propagation using any set of model parameters or any learning algorithm.