Publications by authors named "T J Hubbard"
Article Synopsis
- - The study investigated how the behaviors of targets in previous trials affect the perception of a current moving target, specifically looking at representational momentum.
- - In two experiments, participants were shown various combinations of moving and stationary targets, as well as different directional motions, to see if these factors would influence their perception of the current target.
- - The results indicated that the presence of other targets, whether stationary or moving in the same or opposite direction, did not affect how participants perceived the movement of the current target, challenging existing theories on representational momentum.
GENCODE produces comprehensive reference gene annotation for human and mouse. Entering its twentieth year, the project remains highly active as new technologies and methodologies allow us to catalog the genome at ever-increasing granularity. In particular, long-read transcriptome sequencing enables us to identify large numbers of missing transcripts and to substantially improve existing models, and our long non-coding RNA catalogs have undergone a dramatic expansion and reconfiguration as a result.
View Article and Find Full Text PDFBackground: Parkinson's disease (PD) is often characterized by altered rates and patterns of neuronal activity in the sensorimotor regions of the basal ganglia thalamocortical network. Little is known, however, regarding how neuronal activity in the executive control network of the brain changes in the parkinsonian condition.
Objective: Investigate the impact of parkinsonism on neuronal activity in the dorsolateral prefrontal cortex (DLPFC), a key region in executive control, during a go/nogo reaching task.
Purpose: Specimen Mammography (SM) is commonly used in Breast Conserving Surgery (BCS) for intraoperative margin analysis. A systematic scoping review was conducted to identify sources of methodological variation in Specimen Mammography Interpretation (SMI) and assess the role of Artificial Intelligence (AI) techniques to optimise Diagnostic Accuracy (DA).
Methods: Embase, Pubmed, Cochrane and web of science databases were searched.