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In natural scenes, objects generally appear together with other objects. Yet, theoretical studies of neural population coding typically focus on the encoding of single objects in isolation. Experimental studies suggest that neural responses…

Neurons and Cognition · Quantitative Biology 2015-01-05 A. Emin Orhan , Wei Ji Ma

We use N-body simulations to study the dynamical evolution of Population III (Pop III) stellar systems and the resulting binary statistics. We design a physically-motivated framework for the initial conditions of Pop III star clusters,…

Astrophysics of Galaxies · Physics 2020-12-02 Boyuan Liu , Georges Meynet , Volker Bromm

Observations of binaries in clusters tend to be of visual binaries with separations of 10s - 100s au. Such binaries are 'intermediates' and their destruction or survival depends on the exact details of their individual dynamical history. We…

Astrophysics of Galaxies · Physics 2015-06-04 Richard J. Parker , Simon P. Goodwin

Binary stars are common and it is necessary to model stellar populations using binary stars. We introduce a method to model binary-star stellar populations quickly. The method can also be used to model single-star stellar populations. The…

Solar and Stellar Astrophysics · Physics 2013-02-04 Zhongmu Li

This paper introduces techniques to construct binary polar source/channel codes based on the bit error probability of successive-cancellation decoding. The polarization lemma is reconstructed based on the bit error probability and then…

Information Theory · Computer Science 2022-05-16 Jun Muramatsu

In this paper, code decompositions (a.k.a. code nestings) are used to design binary polarization kernels. The proposed kernels are in general non-linear. They provide a better polarization exponent than the previously known kernels of the…

Information Theory · Computer Science 2015-03-09 Noam Presman , Ofer Shapira , Simon Litsyn , Tuvi Etzion , Alexander Vardy

Sensory processing is often characterized as implementing probabilistic inference: networks of neurons compute posterior beliefs over unobserved causes given the sensory inputs. How these beliefs are computed and represented by neural…

Neurons and Cognition · Quantitative Biology 2018-11-27 Sabyasachi Shivkumar , Richard D. Lange , Ankani Chattoraj , Ralf M. Haefner

This article shows that any type of binary data can be defined as a collection from codewords of variable length. This feature helps us to define an Injective and surjective function from the suggested codewords to the required codewords.…

Information Theory · Computer Science 2021-10-05 Parviz Gharehbagheri , Sayeed Hamid Haji Sayeed Javadi , Parvaneh Asghari , Naser Gharehbagheri

The coalescence of compact binaries containing neutron stars or black holes is one of the most promising signals for advanced ground-based laser interferometer gravitational-wave detectors, with the first direct detections expected over the…

High Energy Astrophysical Phenomena · Physics 2015-09-02 Simon Stevenson , Frank Ohme , Stephen Fairhurst

Using evolutionary population synthesis we present integrated colours, integrated spectral energy distributions and absorption-line indices defined by the Lick Observatory image dissector scanner (referred to as Lick/IDS) system, for an…

Astrophysics · Physics 2007-05-23 Fenghui Zhang , Zhanwen Han , Lifang Li , Jarrod R. Hurley

Binary machines are a generalization of Feedback Shift Registers (FSRs) in which both, feedback and feedforward, connections are allowed and no chain connection between the register stages is required. In this paper, we present an algorithm…

Cryptography and Security · Computer Science 2011-05-24 Elena Dubrova

With the high number of extrasolar planets discovered by now, it becomes possible to constrain theoretical formation models in a statistical sense. This paper is the first in a series in which we carry out a large number of planet…

Earth and Planetary Astrophysics · Physics 2015-05-13 Christoph Mordasini , Yann Alibert , Willy Benz

Heterogeneous data from multiple populations, sub-groups, or sources is often represented as a ``mixture model'' with a single latent class influencing all of the observed covariates. Heterogeneity can be resolved at multiple levels by…

Machine Learning · Computer Science 2024-12-16 Bijan Mazaheri , Chandler Squires , Caroline Uhler

Binary observations are often repeated to improve data quality, creating technical replicates. Several scoring methods are commonly used to infer the actual individual state and obtain a probability for each state. The common practice of…

Methodology · Statistics 2025-01-24 Manuela Royer-Carenzi , Hadrien Lorenzo , Pierre Pudlo

The COMPAS public rapid binary population synthesis code has undergone a number of key improvements since the original COMPAS methods paper (Team COMPAS: Riley et al., 2022) was published. These include more sophisticated and robust…

Enforcing open source licenses such as the GNU General Public License (GPL), analyzing a binary for possible vulnerabilities, and code maintenance are all situations where it is useful to be able to determine the source code provenance of a…

Cryptography and Security · Computer Science 2017-11-03 Dhaval Miyani , Zhen Huang , David Lie

Making binary decisions is a common data analytical task in scientific research and industrial applications. In data sciences, there are two related but distinct strategies: hypothesis testing and binary classification. In practice, how to…

Applications · Statistics 2021-12-01 Jingyi Jessica Li , Xin Tong

Modeling of large populations of binary stellar systems is an intergral part of a many areas of astrophysics, from radio pulsars and supernovae to X-ray binaries, gamma-ray bursts, and gravitational-wave mergers. Binary population synthesis…

We present a computational analysis of three language varieties: native, advanced non-native, and translation. Our goal is to investigate the similarities and differences between non-native language productions and translations, contrasting…

Computation and Language · Computer Science 2016-09-13 Ella Rabinovich , Sergiu Nisioi , Noam Ordan , Shuly Wintner

Similarity is a core notion that is used in psychology and two branches of linguistics: theoretical and computational. The similarity datasets that come from the two fields differ in design: psychological datasets are focused around a…

Computation and Language · Computer Science 2016-06-20 Dmitrijs Milajevs , Sascha Griffiths