Here we present an extremely fast, yet simply implemented, method for approximating the stimulus dependent partition function in minutes or seconds.

This work presents an extremely fast, yet simply implemented, method for approximating the stimulus dependent partition function in minutes or seconds and ...

We use a product of conditioned logistic regression models to approximate the stimulus modulated missing mass. This method has complexity of roughly O(LNNpat) ...

... approximate the stimulus driven partition function more accurately than either Monte Carlo methods or deterministic approximations. This advance allows ...

Missing mass approximations for the partition function of stimulus driven Ising models ; dc.contributor.author, Haslinger, Robert ; dc.contributor.author, Ba, ...

Missing mass approximations for the partition function of stimulus driven Ising models ; Erscheinungsdatum: 2013 ; Herausgeber: Frontiers Research Foundation.

... Missing Mass Approximations for the Partition Function of Stimulus Driven Ising Models | Ising models are routinely used to quantify the second order, ...

Measuring the signal-to-noise ratio of a neuron · Missing mass approximations for the partition function of stimulus driven Ising models · A regularized point ...

Oct 7, 2024 · Missing mass approximations for the partition function of stimulus driven Ising models. Frontiers Comput. Neurosci. 7: 96 (2013); 2011. [j2].

Missing Mass Approximations for the Partition Function of Stimulus Driven Ising Models · Robert Haslinger · Demba Ba · Ralf Galuske; Ziv Williams; Gordon Pipa.