18 papers · ranked by Valyu relevance
Elad Ganmor, Ronen Segev, Elad Schneidman, David Kleinfeld
Information is carried in the brain by the joint spiking patterns of large groups of noisy, unreliable neurons. This noise limits the capacity of the neural code and determines how information can be transmitted and read-out. To accurately decode, the brain must overcome this noise and identify which patterns are…
Johannes Friedrich, Robert Urbanczik, Walter Senn
Population coding is widely regarded as a key mechanism for achieving reliable behavioral decisions given a high neuronal variability. Here, we present two general recipes to derive learning rules from a policy gradient approach for different neural codes and decision making networks, one based on partial integration…
Ryan D. Hernandez, Lawrence H. Uricchio
Modern implementations of forward population genetic simulations are efficient and flexible, enabling the exploration of complex models that may otherwise be intractable. Here we describe an updated version of SFS_CODE, which has increased efficiency and includes many novel features. Among these features is an…
Authors not listed
Title: Summary Background Population estimates underpin demographic and epidemiological research and are used to track progress on numerous international indicators of health and development. To date, internationally available estimates of population and fertility, although useful, have not been produced with…
Julio Arrontes
Pop-Inference is an educational tool designed to help teaching of hypothesis testing using populations. The application allows for the statistical comparison of demographic parameters among populations. Input demographic data are projection matrices or raw demographic data. Randomization tests are used to compare…
Frank J. van Rijnsoever, Gemma Elizabeth Derrick
I explore the sample size in qualitative research that is required to reach theoretical saturation. I conceptualize a population as consisting of sub-populations that contain different types of information sources that hold a number of codes. Theoretical saturation is reached after all the codes in the population have…
Alexandr N. Tetearing
Numerical model of population behaviour under conditions of full-fed existence of mortal persons in the personal areas, simulated with use the function of age distribution of birth rate in the form of normal (gaussian) distribution. Graphs of historical changes in the function of age distribution of population.
Graham Gower, Aaron P. Ragsdale, Ryan N. Gutenkunst, Matthew Hartfield + 4 more
Understanding the demographic history of populations is a key goal in population genetics, and with improving methods and data, ever more complex models are being proposed and tested. Demographic models of current interest typically consist of a set of discrete populations, their sizes and growth rates, and continuous…
Khanh Nguyen, Nima Shahbazi, Abolfazl Asudeh
Historical systematic exclusionary tactics based on race have forced people of certain demographic groups to congregate in specific urban areas. Aside from the ethical aspects of such segregation, these policies have implications for the allocation of urban resources including public transportation, healthcare, and…
Shubham Tripathi, Michael W. Deem
The standard genetic code is well known to be optimized for minimizing the phenotypic effects of single nucleotide substitutions, a property that was likely selected for during the emergence of a universal code. Given the fitness advantage afforded by high standing genetic diversity in a population in a dynamic…
Ethan M Berke, Xun Shi
Background Travel time is an important metric of geographic access to health care. We compared strategies of estimating travel times when only subject ZIP code data were available. Results Using simulated data from New Hampshire and Arizona, we estimated travel times to nearest cancer centers by using: 1) geometric…
Bhagya N. Wickramasinghe, Dhirendra Singh, Lin Padgham
We present work on creating a synthetic population from census data for Australia, applied to the greater Melbourne region. We use a sample-free approach to population synthesis that does not rely on a disaggregate sample from the original population. The inputs for our algorithm are joint marginal distributions from…
Agatha C. H. de Mattos, Gavin McArdle, Michela Bertolotto
Over a billion people live in slums in settlements that are often located in ecologically sensitive areas and hence highly vulnerable. This is a problem in many parts of the world, but it is more prominent in low-income countries, where in 2014 on average 65% of the urban population lived in slums. As a result…
Brianna Greenstein, Danielle Elsey, Geoffrey Hutchison
Genetic algorithms (GAs) are a powerful tool to search large chemical spaces for inverse molecular design. However, GAs have multiple hyperparameters that have not been thoroughly investigated for chemical space searches. In this work, we examine the general effects of a number of hyperparameters, such as population…
Aaron Hong, Rebecca G. Cheek, Kingshuk Mukherjee, Isha Yooseph + 5 more
The genetic effective size (Ne) is arguably one of the most important characteristics of a population as it impacts the rate of loss of genetic diversity. Genetic estimators of (Ne) increasingly popular tools in population and conservation genetic studies. Yet there are very few methods that can estimate the Ne from…
Vladimir Shchur, Débora Y. C. Brandt, Anna Ilina, Rasmus Nielsen
The estimation of effective population sizes (N_e_) through time is of fundamental interest in population genetics, but the interpretation of N_e_ as the effective number of breeding individuals in the population is challenged by the effect of population structure. In fact, variation in N_e_ reported in many studies…
Charles W. Champ, Andrew V. Sills
A case is made that researchers are interested in studying processes. Often the inferences they are interested in making are about the process and its associated population. On other occasions, a researcher may be interested in making an inference about the collection of individuals the process has generated. We will…
Tetsuya Akita
Close-kin mark-recapture (CKMR) is a kinship-based method for estimating adult abundance. However, the application of CKMR is limited to using a kinship relationship that is not affected by family-correlated survivorship, which leads to a biased estimation. We developed a nearly unbiased estimator of the number of…