18 papers · ranked by Valyu relevance
Alexis Compton, Benjamin W. Roop, Benjamin Parrell, Adam C. Lammert
Human perception depends upon internal representations of the environment that help to organize the raw information available from the senses by acting as reference patterns. Internal representations are widely characterized using reverse correlation, a method capable of producing unconstrained estimates of the…
Alexis Compton, Benjamin W. Roop, Benjamin Parrell, Adam C. Lammert
Human perception depends upon internal representations of the environment that help to organize the raw information available from the senses by acting as reference patterns. Internal representations are widely characterized using reverse correlation, a method capable of producing unconstrained estimates of the…
Jane A. Gargano, Abigail Rice, Divya A. Chari, Benjamin Parrell + 1 more
Reverse correlation is a widely-used and well-established method for probing latent perceptual representations in which subjects render subjective preference responses to ambiguous stimuli. Stimuli are purposefully designed to have no direct relationship with the target representation (e.g., they are…
Benjamin W. Roop, Benjamin Parrell, Adam C. Lammert
Uncovering cognitive representations is an elusive goal that is increasingly pursued using the reverse correlation method, wherein human subjects make judgments about ambiguous stimuli. Employing reverse correlation often entails collecting thousands of stimulus-response pairs, which severely limits the breadth of…
Shuzhou Sun, Li Liu, Tianpeng Liu, Shuaifeng Zhi + 3 more
'Janne Heikkilä' 'Yongxiang Liu'] Abstract—Existing two-stage Scene Graph Generation (SGG) frameworks typically incorporate a detector to extract relationship features and a classifier to categorize these relationships; therefore, the training paradigm follows a causal chain structure, where the detector's inputs…
Virginia Iannibelli, Isabella Caranzano, Giovanni Birolo, Cesare Rollo + 5 more
Codon usage bias is a central record of mutation, selection, drift, and translational constraints, but it is usually treated separately from generalized Chargaff symmetry, the tendency for words and their reverse complements to occur at similar frequencies in long DNA sequences. Here we ask whether codon usage contains…
Nan Zhang, Heng Xu, Manuel J. Vaulont, Zhen Zhang
Two potential obstacles stand between the observation of a statistical correlation and the design (and deployment) of an effective intervention, omitted variable bias and reverse causality. Whereas the former has received ample attention, comparably scant focus has been devoted to the latter in the methodological…
Alexis Compton, Benjamin W. Roop, Benjamin Parrell, Adam C. Lammert
Correction to: Behavior Research Methods 10.3758/s13428-022-01946-w The article ‘Stimulus whitening improves the efficiency of reverse correlation,’ written by Compton et al., was originally published electronically on the publisher’s internet portal on August 29, 2022, without open access. With the author(s)’ decision…
Amanda Venta, Cassandra A. Bailey, Jesse Walker, Alfonso Mercado + 3 more
The potential for suboptimal psychometric performance of reverse-coded items may be particularly pronounced when scales are translated and administered in Spanish with these problems exacerbated in youth respondents. This is a significant concern, given the rapid rise in Hispanic-American and Spanish-speaking…
Shreyan Gupta, Anamitra Chaudhuri, Vishnuvasan Raghuraman, Yang Ni + 1 more
Discovering gene regulatory networks (GRNs) from single-cell RNA sequencing (scRNA-seq) data is critical for understanding cellular function, but existing methods are limited by strong theoretical assumptions or high computational complexity. We introduce a multiple testing framework for inference of GRN by using…
Authors not listed
How to accelerate a reaction has been a critical question in physical organic chemistry, eliciting multiple models describing the interplay between kinetics and thermodynamic driving forces. However, existing models often come with inevitable limitations: valid only within finite thermodynamic ranges, rely on heavy…
Cao Zhihao, Hongchun Qu
In contemporary scientific research, understanding the distinction between correlation and causation is crucial. While correlation is a widely used analytical standard, it does not inherently imply causation. This paper addresses the potential for misinterpretation in relying solely on correlation, especially in the…
Hanâ Lbath, Alexander Petersen, Sophie Achard
Data produced by resting-state functional Magnetic Resonance Imaging are widely used to infer brain functional connectivity networks. Such networks correlate neural signals to connect brain regions, which consist in groups of dependent voxels. Previous work has focused on aggregating data across voxels within…
Ming Luo, S. Radhakrishnan, Sagar Kamarthi
Study on Surface Roughness in Finish Turning Authors: ['Ming Luo' 'S. Radhakrishnan' 'Sagar Kamarthi'] | 1 | INTRODUCTION | 3 | | --- | --- | --- | | 2 | THE CONCEPT OF CORRELATION BETWEEN TWO VARIABLES | 3 | | | 2.1 Pearson Correlation Coefficient | 8 | | | 2.2 Spearman's Rank Correlation Coefficient | 9 | | | 2.3…
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Synthetic accessibility is a key issue in the current compound generation. Unlike conventional approaches that assess synthetic accessibility after compound generation, the fragment-based method proposed in this study links the fragments in the reverse direction of the retrosynthesis analysis guaranteeing the synthetic…
Nassim Nicholas Taleb, Pierre Zalloua, Khaled Elbassioni, Andreas Henschel + 1 more
'Andreas Henschel' 'Daniel E. Platt'] Abstract—We discuss the inadequacy of covariances/correlations and other measures in L2 as relative distance metrics under some conditions. We propose a computationally simple heuristic to transform a map based on standard principal component analysis (PCA) (when the variables are…
Elias Polak, Heng Zhao, Stefan Vuckovic
Machine learning (ML) has started to play a pivotal role in extending the reach of quantum chemistry methods for both molecules and materials. However, in density functional theory — the primary workhorse for quantum simulations—using ML to address the limitations of human-designed density functional approximations…
Authors not listed
The Møller–Plesset adiabatic connection (MPAC) provides a powerful tool for developing density functional theory (DFT)-like approximations that map Hartree–Fock densities to the wavefunction-based correlation energy, thereby leveraging both wavefunction and DFT concepts for electronic structure approximations. A key…