Dominic Standage

This study examines how isoflurane affects functional brain networks in marmosets, finding reduced network dynamics and increased similarity to anatomical structure under anaesthesia.

The paper identifies whole-brain modular dynamics at rest as predictors of sensorimotor learning performance using fMRI data.

The paper shows that models of visual working memory developed for single-report tasks fail to generalize to whole-report tasks due to assumptions about stimulus independence and encoding.

The paper links individual differences in sensorimotor adaptation rates to trait-like cognitive brain network structure using behavioral and fMRI data.

The paper examines individual differences in sensorimotor adaptation by analyzing whole-brain functional network dynamics over two days of learning.

The paper investigates how neural excursions from a low-dimensional manifold structure in brain networks relate to intersubject variation in motor learning.

This study examines how increasing doses of isoflurane affect whole-brain modular structure in nonhuman primates, finding increased module fragmentation and decreased network cohesion.

This paper develops a fronto-parietal cortical model to explain working memory overload by showing high-performing subjects avoid overload through competitive encoding and inter-areal projections.

This paper presents a neural network model of working memory that explains how memory capacity and coding fidelity decrease with increasing load through feedback inhibition.

The paper uses a cortical network model to show that VIP-mediated disinhibition controls flexible behavior by modulating working memory and decision-making.

The paper investigates how stochastic sensorimotor reference frame transformations affect perceptual decisions by measuring reaction time and accuracy during head and stimulus rotations.