Noah Charles Benson

Mapping Visual Contrast Sensitivity and Vision Loss Across the Visual Field with Model-Based fMRI

This paper develops an fMRI method to measure contrast sensitivity across the visual field without requiring precise fixation, showing reliable patterns and tolerance to eye movement.

Semi-quantitative Classification of HIV-1 Nucleic Acids Using ResNet Image Analysis of Discretized Isothermal Amplification Reactions in a Microfluidic Chip

This paper develops a machine learning approach to semi-quantitatively classify HIV-1 nucleic acids using image analysis of isothermal amplification reactions in microfluidic chips, achieving high accuracy across a wide concentration range.

Predicting functional topography of the human visual cortex from cortical anatomy at scale

This paper introduces a deep learning tool to predict functional topography of the human visual cortex from anatomy, demonstrating its utility across diverse conditions and large-scale datasets.

Machine Learning Matches Human Performance at Segmenting the Human Visual Cortex

This paper trains CNNs to segment human visual cortex areas with accuracy comparable to human raters using functional and anatomical data.

Human V4 size predicts crowding distance

The paper measures crowding distance and V4 map size in humans to find that V4 size predicts the spacing limit of visual perception.

Optic radiations representing different eccentricities age differently

The study examines age-related changes in white matter properties of optic radiations carrying foveal, macular, and peripheral visual field information using diffusion MRI data from the UK Biobank.

Specific and non-linear effects of glaucoma on optic radiation tissue properties

This study uses diffusion MRI and a CNN to show glaucoma has a unique non-linear effect on optic radiation tissue properties, unlike linear effects on other brain connections.

Variability of the Surface Area of the V1, V2, and V3 Maps in a Large Sample of Human Observers

The paper quantifies individual variability in the size and structure of visual areas V1, V2, and V3 across a large sample of human observers and examines twin similarities.

Structural covariance and heritability of the optic tract and primary visual cortex in living human brains

The paper examines the structural covariance and heritability between the optic tract and primary visual cortex in living humans using neuroimaging data.

Asymmetries around the visual field: From retina to cortex to behavior

The paper quantifies polar angle asymmetries in visual performance and shows that mRGC signals and phototransduction contribute to these differences, but cortical factors also play a role.

A visual encoding model links magnetoencephalography signals to neural synchrony in human cortex

The paper develops a model linking MEG signals to neural synchrony in the human cortex, finding two distinct response types: synchronous and asynchronous.

Cross-dataset reproducibility of human retinotopic maps

This study assesses the reproducibility of retinotopic maps across two fMRI datasets, finding consistent pRF properties despite differences in experimental protocols.

A Population Receptive Field Model of the Magnetoencephalography Response

This paper introduces a model that uses fMRI-derived population receptive fields to predict MEG responses, showing they explain up to 60% of variance in sensor data.

Cortical Magnification in Human Visual Cortex Parallels Task Performance around the Visual Field

The paper measures cortical magnification in human visual cortex and finds it correlates with visual field task performance and heritability in twins.

A validation framework for neuroimaging software: the case of population receptive fields

The paper introduces a framework for validating neuroimaging software using ground-truth testing, applied to population receptive field analysis in fMRI data.

Unifying Temporal Phenomena in Human Visual Cortex

The paper presents a computational model of temporal dynamics in visual cortex that explains diverse temporal phenomena across multiple measurement types and cortical areas.

Bayesian Analysis of Retinotopic Maps

This paper introduces a Bayesian method for retinotopic mapping that improves accuracy by combining fMRI data with a learned atlas, enabling automated analysis and quantification of map differences.

The HCP 7T Retinotopy Dataset: Description and pRF Analysis

The paper describes a large-scale retinotopy dataset from the HCP and presents population receptive field analysis results from both individual subjects and group averages.

Compressive Temporal Summation in Human Visual Cortex

This paper investigates temporal processing in the human visual cortex using fMRI, finding sub-additive summation and adaptation, and proposes a model that parallels spatial compressive summation.