Concept

Causal model

Related publications (101)

Optogenetic Stimulation of Basal Forebrain Parvalbumin Neurons Activates the Default Mode Network and Associated Behaviors

Ralf Schneggenburger, Gregor Rainer, Michael Kintscher, Laura Lozano Montes, Jayakrishnan Harikrishnavilas Raveendran Nair

Activation of the basal forebrain (BF) has been associated with increased attention, arousal, and a heightened cortical representation of the external world. In addition, BF has been implicated in the regulation of the default mode network (DMN) and associ ...

CELL PRESS2020

Advancing Deep Learning for Earth Sciences: From Hybrid Modeling to Interpretability

Devis Tuia

Machine learning and deep learning in particular have made a huge impact in many fields of science and engineering. In the last decade, advanced deep learning methods have been developed and applied to remote sensing and geoscientific data problems extensi ...

2020

On the collapsibility of measures of effect in the counterfactual causal framework

Mats Julius Stensrud, Anders Huitfeldt

The relationship between collapsibility and confounding has been subject to an extensive and ongoing discussion in the methodological literature. We discuss two subtly different definitions of collapsibility, and show that by considering causal effect meas ...

2019

The additive hazard estimator is consistent for continuous-time marginal structural models

Mats Julius Stensrud, Pal Christie Ryalen

Marginal structural models (MSMs) allow for causal analysis of longitudinal data. The standard MSM is based on discrete time models, but the continuous-time MSM is a conceptually appealing alternative for survival analysis. In applied analyses, it is often ...

2019

Motility as a tool to uncover mobility practices

Vincent Kaufmann, Guillaume Simon Joseph Drevon, Alexis Gumy, Eloi Antoine Maël Bernier

This paper investigate the causal relationships that exist between the motility, defined as the personal ability to be mobile (Kaufmann et al., 2015), and mobility behaviors. To do so, we use the first wave (2018) of the "national daily mobility panel" sur ...

2019

Counting and Sampling from Markov Equivalent DAGs Using Clique Trees

Negar Kiyavash, Saber Salehkaleybar, Kun Zhang

A directed acyclic graph (DAG) is the most common graphical model for representing causal relationships among a set of variables. When restricted to using only observational data, the structure of the ground truth DAG is identifiable only up to Markov equi ...

AAAI Press2019

Effect heterogeneity and variable selection for standardizing causal effects to a target population

Mats Julius Stensrud, Anders Huitfeldt

The participants in randomized trials and other studies used for causal inference are often not representative of the populations seen by clinical decision-makers. To account for differences between populations, researchers may consider standardizing resul ...

2019

The unfolding argument: Why IIT and other causal structure theories cannot explain consciousness

Michael Herzog, Kathryn Hess Bellwald, Adrien Christophe Doerig, Aaron Schurger

How can we explain consciousness? This question has become a vibrant topic of neuroscience research in recent decades. A large body of empirical results has been accumulated, and many theories have been proposed. Certain theories suggest that consciousness ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2019

Home Price Expectations and Behaviour: Evidence from a Randomized Information Experiment

Andreas Fuster

Home price expectations are believed to play an important role in housing dynamics, yet we have limited understanding of how they are formed and how they affect behaviour. Using a unique “information experiment” embedded in an online survey, this article i ...

2019

Optimized photo-stimulation of halorhodopsin for long-term neuronal inhibition

Chuanqiang Zhang

Background Optogenetic silencing techniques have expanded the causal understanding of the functions of diverse neuronal cell types in both the healthy and diseased brain. A widely used inhibitory optogenetic actuator is eNpHR3.0, an improved version of the ...

BMC2019

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.