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Statistical noise

Machine learning algorithm validation with a limited sample size

Andrius Vabalas, Emma Gowen, Ellen Poliakoff, Alexander J. Casson

On the Definition of Signal-To-Noise Ratio and Contrast-To-Noise Ratio for fMRI Data

Marijke Welvaert, Yves Rosseel

Brain Entropy Mapping Using fMRI

Ze Wang, Yin Li, Anna Rose Childress, John A. Detre

Diffusion Weighted Image Denoising Using Overcomplete Local PCA

José V. Manjón, Pierrick Coupé, [ ... ], Montserrat Robles

Goodness-of-Fit Tests and Model Diagnostics for Negative Binomial Regression of RNA Sequencing Data

Gu Mi, Yanming Di, Daniel W. Schafer

IPET and FETR: Experimental Approach for Studying Molecular Structure Dynamics by Cryo-Electron Tomography of a Single-Molecule Structure

Lei Zhang, Gang Ren

Improved Reconstruction of In Silico Gene Regulatory Networks by Integrating Knockout and Perturbation Data

Kevin Y. Yip, Roger P. Alexander, Koon-Kiu Yan, Mark Gerstein

Bayesian Dynamical Systems Modelling in the Social Sciences

Shyam Ranganathan, Viktoria Spaiser, Richard P. Mann, David J. T. Sumpter

A Model-Based Spike Sorting Algorithm for Removing Correlation Artifacts in Multi-Neuron Recordings

Jonathan W. Pillow, Jonathon Shlens, E. J. Chichilnisky, Eero P. Simoncelli

Four Theorems on the Psychometric Function

Keith A. May, Joshua A. Solomon

Criticality meets learning: Criticality signatures in a self-organizing recurrent neural network

Bruno Del Papa, Viola Priesemann, Jochen Triesch

A Review of fMRI Simulation Studies

Marijke Welvaert, Yves Rosseel

Reinforcement learning approach to control an inverted pendulum: A general framework for educational purposes

Sardor Israilov, Li Fu, [ ... ], Médéric Argentina

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