activity
20112022
most citedEvaluating the accuracy of diffusion MRI models in white matter

101 citations · 225 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2022★ 38 cited

Visual representations in the human brain are aligned with large language models

Adrien Doerig, Tim C Kietzmann, Emily Allen +4

The human brain extracts complex information from visual inputs, including objects, their spatial and semantic interrelations, and their interactions with the environment. However,…

stat.AP2022★ 29 cited

The risk of bias in denoising methods

Kendrick Kay

Experimental datasets are growing rapidly in size, scope, and detail, but the value of these datasets is limited by unwanted measurement noise. It is therefore tempting to apply an…

q-bio.NC2021★ 4 cited

NeuroGen: activation optimized image synthesis for discovery neuroscience

Zijin Gu, Keith W. Jamison, Meenakshi Khosla +6

Functional MRI (fMRI) is a powerful technique that has allowed us to characterize visual cortex responses to stimuli, yet such experiments are by nature constructed based on a prio…

stat.ME2020

Fractional ridge regression: a fast, interpretable reparameterization of ridge regression

Ariel Rokem, Kendrick Kay

Ridge regression (RR) is a regularization technique that penalizes the L2-norm of the coefficients in linear regression. One of the challenges of using RR is the need to set a hype…

q-bio.NC2020★ 14 cited

Appreciating the variety of goals in computational neuroscience

Konrad P. Kording, Gunnar Blohm, Paul Schrater +1

Within computational neuroscience, informal interactions with modelers often reveal wildly divergent goals. In this opinion piece, we explicitly address the diversity of goals that…

q-bio.QM2014★ 101 cited

Evaluating the accuracy of diffusion MRI models in white matter

Ariel Rokem, Jason D. Yeatman, Franco Pestilli +4

Models of diffusion MRI within a voxel are useful for making inferences about the properties of the tissue and inferring fiber orientation distribution used by tractography algorit…

stat.AP2011★ 39 cited

Encoding and decoding V1 fMRI responses to natural images with sparse nonparametric models

Vincent Q. Vu, Pradeep Ravikumar, Thomas Naselaris +3

Functional MRI (fMRI) has become the most common method for investigating the human brain. However, fMRI data present some complications for statistical analysis and modeling. One…