A unified view on weakly correlated recurrent networks
نویسندگان
چکیده
منابع مشابه
A unified view on weakly correlated recurrent networks
The diversity of neuron models used in contemporary theoretical neuroscience to investigate specific properties of covariances in the spiking activity raises the question how these models relate to each other. In particular it is hard to distinguish between generic properties of covariances and peculiarities due to the abstracted model. Here we present a unified view on pairwise covariances in ...
متن کاملA unified view in planning broadcasting networks
Wireless broadcasting network planning has been widely addressed in the literature and a large number of models and algorithms have been developed. Most such models make use of MILP formulations both to represent and to solve practical planning problems. We discuss a new systematization of the different models presented in the literature by introducing a suitable problem hierarchy. We also disc...
متن کاملWeakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis
An important problem for both graphics and vision is to synthesize novel views of a 3D object from a single image. This is particularly challenging due to the partial observability inherent in projecting a 3D object onto the image space, and the ill-posedness of inferring object shape and pose. However, we can train a neural network to address the problem if we restrict our attention to specifi...
متن کاملA Unified Correlated Input Process Model for Telecommunication Networks
In this paper we introduce a correlated input process model SSMP (Special Semi-Markov Process) for telecommunication networks. Many other models, including the two-state Markov modulated Poisson process MMPP(2), separately treated in the literature are shown to be special cases. The SSMP can be applied for directly modeling discrete-time input processes which are important for the future broadb...
متن کاملA Unified View on Hybrid Metaheuristics
Manifold possibilities of hybridizing individual metaheuristics with each other and/or with algorithms from other fields exist. A large number of publications documents the benefits and great success of such hybrids. This article overviews several popular hybridization approaches and classifies them based on various characteristics. In particular with respect to low-level hybrids of different m...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Computational Neuroscience
سال: 2013
ISSN: 1662-5188
DOI: 10.3389/fncom.2013.00131