Cognitive Science

The latest breakthroughs, innovations, and cool happenings at the cutting edge of the world of cognitive science. Updated daily.

Density and Distinctiveness in Early Word Learning: Evidence From Neural Network Simulations

Abstract High phonological neighborhood density has been associated with both advantages and disadvantages in early word learning. High density may support the formation and fine‐tuning of new word sound memories—a process termed lexical configuration (e.g., Storkel, 2004). However, new high‐density words are also more likely to be misunderstood as instances of known words, and may […]

Published on January 11, 2020

Unsupervised Cerebrovascular Segmentation of TOF-MRA Images Based on Deep Neural Network and Hidden Markov Random Field Model

Automated cerebrovascular segmentation of time-of-flight magnetic resonance angiography (TOF-MRA) images is an important technique, which can be used to diagnose abnormalities in the cerebrovascular system, such as vascular stenosis and malformation. Automated cerebrovascular segmentation can direct show the shape, direction and distribution of blood vessels. Although deep neural network (DNN)-based cerebrovascular segmentation methods have shown […]

Published on January 10, 2020

Emerging Role of Sirtuin 2 in Parkinson’s Disease

Parkinson’s disease (PD), the main risk factor of which is age, is one of the most common neurodegenerative diseases, thus presenting a substantial burden on the health of affected individuals as well as an economic burden. Sirtuin 2 (SIRT2), a subtype in the family of sirtuins, belongs to class III histone deacetylases (HDACs). It is […]

Published on January 10, 2020