cascade of 2 highly idealised neural ensemble model

pone.0153947.e001">removedGRAPHIC E t=1 T 1 / 2 e - t log 2 T 1 / 2</disp formula>Fig 1
pone.0153947.e005">removedGRAPHIC tau n A - n (t, l)=-A n -1

Impact of HIV Status on Treatment Outcome of Tuberculosis Patients Registered at Arsi Negele Health Center, Southern Ethiopia: A Six Year Retrospective Study

Validity of Willingness to Pay Measures under Preference Uncertainty

increasing popularity of closed ended method
superiority of closed ended over open ended method
theoretical validity of 2 open ended method

Associations between Psychological Problems and Quality of Life in Pediatric Short Stature from Patients' and Parents' Perspectives

increase interpretability of regression coefficient

The Heterogeneity in Retrieved Relations between the Personality Trait 'Harm Avoidance' and Gray Matter Volumes Due to Variations in the VBM and ROI Labeling Processing Settings

FWHM=8mm data, an additional overlapbetweenthe results from analysis M1
FWHM=8mm right analyses using M1 red, M2

'I Can Remember Sort of Vivid People...but to Me They Were Plasticine.' Delusions on the Intensive Care Unit: What Do Patients Think Is Going On?

Unfolding the Spatial and Temporal Neural Processing of Making Dishonest Choices

TR=2000 ms, TE=30 ms, flip angle=90°, matrix=64*64
TR=1900 ms, TE=3.43 ms, flip angle=7°, matrix=256*256, FOV=210*210 mm^2, slice thickness=1

Learning Biomarker Models for Progression Estimation of Alzheimer's Disease

on behalf of the Alzheimer's Disease Neuroimaging Initiative

approach of disease progression analysis
parametric vector generalised linear model
open source implementation of donohue model
quantitatively if terminal decline impairs model

pone.0153040.e016">removedGRAPHIC ψ (y, lambda)={ (y + 1) lambda) / lambda (y<0, lambda !=0) log (y + 1) (y<0, lambda=0) - (- y + 1) 2 - lambda -1) / (2 - lambda) (y<0, lambda !=2) - log (- y + 1) (y<0, lambda=2
by<disp formula id="pone.0153040.e017">removedGRAPHIC g Y (y, lambda p, μ p, σ p=1 σ p ϕ (ψ (y, lambda p - μ p σ p - (| y | + 1) sgn y lambda p -1