Motivation: Evaluating the accuracy of predicted models is critical for assessing structure prediction methods. Because this problem is not trivial, a large number of different as...
Naomi Siew, Arne Elofsson, Leszek Rychlewski, Dani...
Object localization using sensed data features and corresponding model features is a fundamental problem in machine vision. We reformulate object localization as a least squares p...
High-level formalisms such as stochastic Petri nets can be used to model complex systems. Analysis of logical and numerical properties of these models often requires the generatio...
Gianfranco Ciardo, Joshua Gluckman, David M. Nicol
An analytical approach is presented for determining the response of a neuron or of the activity in a network of connected neurons, represented by systems of nonlinear ordinary stoc...
Abstract. We study some mechanisms responsible for synchronous oscillations and loss of synchrony at physiologically relevant frequencies 10-200 Hz in a network of heterogeneous ...
John A. White, Carson C. Chow, Jason Ritt, Cristin...