Function Identification in Neuron Populations via Information Bottleneck
It is plausible to hypothesize that the spiking responses of certain neurons represent functions of the spiking signals of other neurons. A natural ensuing question concerns how to use experimental data to infer what kind of a function is being computed.
S. Kartik Buddha +3 more
doaj +1 more source
Towards socially adaptive robots : A novel method for real time recognition of human-robot interaction styles [PDF]
“This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders.
Dautenhahn, K., Francois, D., Polani, D.
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Improved method for protein complex detection using bottleneck proteins [PDF]
Abstract Background Detecting protein complexes is one of essential and fundamental tasks in understanding various biological functions or processes. Therefore accurate identification of protein complexes is indispensable.
Ahn, Jaegyoon +4 more
openaire +2 more sources
Convergence analysis of energy conserving explicit local time-stepping methods for the wave equation [PDF]
Local adaptivity and mesh refinement are key to the efficient simulation of wave phenomena in heterogeneous media or complex geometry. Locally refined meshes, however, dictate a small time-step everywhere with a crippling effect on any explicit time ...
Grote, Marcus J. +2 more
core +4 more sources
Method for addressing bottleneck problems in district heating networks
To work with lowering the system temperatures in district heating (DH) grids is an important factor for system efficiency. Lower system temperatures are related to for example heat losses and production unit efficiency.
Lisa Brange +2 more
doaj +1 more source
Projected Density Matrix Embedding Theory with Applications to the Two-Dimensional Hubbard Model [PDF]
Density matrix embedding theory (DMET) is a quantum embedding theory for strongly correlated systems. From a computational perspective, one bottleneck in DMET is the optimization of the correlation potential to achieve self-consistency, especially for ...
Chan, Garnet Kin-Lic +5 more
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A bicriterion Steiner tree problem on graph [PDF]
This paper presents a formulation of bicriterion Steiner tree problem which is stated as a task of finding a Steiner tree with maximal capacity and minimal length. It is considered as a lexicographic multicriteria problem.
Vujošević Mirko B., Stanojević Milan
doaj +1 more source
Throughput is an important parameter to evaluate production system performance. It is typically constrained by one or more resources referred to as ‘throughput bottlenecks’.
Anders Skoogh +4 more
doaj +1 more source
Decoding of Non-Binary LDPC Codes Using the Information Bottleneck Method
Recently, a novel lookup table based decoding method for binary low-density parity-check codes has attracted considerable attention. In this approach, mutual-information maximizing lookup tables replace the conventional operations of the variable nodes ...
Bauch, Gerhard +3 more
core +1 more source
Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging [PDF]
Environmental audio tagging aims to predict only the presence or absence of certain acoustic events in the interested acoustic scene. In this paper we make contributions to audio tagging in two parts, respectively, acoustic modeling and feature learning.
Foster, Peter +6 more
core +3 more sources

