The impact of experimental design choices on parameter inference for models of growing cell colonies [PDF]
To better understand development, repair and disease progression, it is useful to quantify the behaviour of proliferative and motile cell populations as they grow and expand to fill their local environment.
Andrew Parker +2 more
doaj +1 more source
Emergence of canonical functional networks from the structural connectome
How do functional brain networks emerge from the underlying wiring of the brain? We examine how resting-state functional activation patterns emerge from the underlying connectivity and length of white matter fibers that constitute its “structural ...
Xihe Xie +4 more
doaj +1 more source
REHEATFUNQ (REgional HEAT-Flow Uncertainty and aNomaly Quantification) 2.0.1: a model for regional aggregate heat flow distributions and anomaly quantification [PDF]
Surface heat flow is a geophysical variable that is affected by a complex combination of various heat generation and transport processes. The processes act on different lengths scales, from tens of meters to hundreds of kilometers.
M. J. Ziebarth +2 more
doaj +1 more source
Mapping species diversification metrics in macroecology: Prospects and challenges
The intersection of macroecology and macroevolution is one of today’s most active research in biology. In the last decade, we have witnessed a steady increment of macroecological studies that use metrics attempting to capture macroevolutionary processes ...
Julián A. Velasco +1 more
doaj +1 more source
Hierarchical development of dominance through the winner-loser effect and socio-spatial structure.
In many groups of animals the dominance hierarchy is linear. What mechanisms underlie this linearity of the dominance hierarchy is under debate. Linearity is often attributed to cognitively sophisticated processes, such as transitive inference and ...
Erik van Haeringen, Charlotte Hemelrijk
doaj +1 more source
Multisensory causal inference in the brain [PDF]
At any given moment, our brain processes multiple inputs from its different sensory modalities (vision, hearing, touch, etc.). In deciphering this array of sensory information, the brain has to solve two problems: (1) which of the inputs originate from ...
A Pouget +31 more
core +4 more sources
Algorithms of causal inference for the analysis of effective connectivity among brain regions
In recent years, powerful general algorithms of causal inference have been developed. In particular, in the framework of Pearl’s causality, algorithms of inductive causation (IC and IC*) provide a procedure to determine which causal connections among ...
Daniel eChicharro +2 more
doaj +1 more source
Monotonic Gaussian Process for spatio-temporal disease progression modeling in brain imaging data
We introduce a probabilistic generative model for disentangling spatio-temporal disease trajectories from collections of high-dimensional brain images.
Clément Abi Nader +3 more
doaj +1 more source
Quantitative stochastic models of gene regulatory networks are important tools for studying cellular regulation. Such models can be formulated at many different levels of fidelity. A practical challenge is to determine what model fidelity to use in order
Adrien Coulier +3 more
doaj +1 more source
Fast and flexible estimation of effective migration surfaces
Spatial population genetic data often exhibits ‘isolation-by-distance,’ where genetic similarity tends to decrease as individuals become more geographically distant.
Joseph Marcus +3 more
doaj +1 more source

