Human sensitivity to community structure is robust to topological variation
Despite mounting evidence that human learners are sensitive to community structure
underpinning temporal sequences, this phenomenon has been studied using an extremely …
underpinning temporal sequences, this phenomenon has been studied using an extremely …
Process reveals structure: How a network is traversed mediates expectations about its architecture
Network science has emerged as a powerful tool through which we can study the higher-
order architectural properties of the world around us. How human learners exploit this …
order architectural properties of the world around us. How human learners exploit this …
How humans learn and represent networks
CW Lynn, DS Bassett - … of the National Academy of Sciences, 2020 - National Acad Sciences
Humans receive information from the world around them in sequences of discrete items—
from words in language or notes in music to abstract concepts in books and websites on the …
from words in language or notes in music to abstract concepts in books and websites on the …
Applications of community detection techniques to brain graphs: Algorithmic considerations and implications for neural function
The human brain can be represented as a graph in which neural units such as cells or small
volumes of tissue are heterogeneously connected to one another through structural or …
volumes of tissue are heterogeneously connected to one another through structural or …
Local patterns to global architectures: influences of network topology on human learning
A core question in cognitive science concerns how humans acquire and represent
knowledge about their environments. To this end, quantitative theories of learning processes …
knowledge about their environments. To this end, quantitative theories of learning processes …
Explicitly linking regional activation and function connectivity: community structure of weighted networks with continuous annotation
A major challenge in neuroimaging is understanding the mapping of neurophysiological
dynamics onto cognitive functions. Traditionally, these maps have been constructed by …
dynamics onto cognitive functions. Traditionally, these maps have been constructed by …
Multimodal imaging of brain connectivity reveals predictors of individual decision strategy in statistical learning
VM Karlaftis, J Giorgio, PE Vértes, R Wang… - Nature human …, 2019 - nature.com
Successful human behaviour depends on the brain's ability to extract meaningful structure
from information streams and make predictions about future events. Individuals can differ …
from information streams and make predictions about future events. Individuals can differ …
Sequential detection of temporal communities by estrangement confinement
V Kawadia, S Sreenivasan - Scientific reports, 2012 - nature.com
Temporal communities are the result of a consistent partitioning of nodes across multiple
snapshots of an evolving network and they provide insights into how dense clusters in a …
snapshots of an evolving network and they provide insights into how dense clusters in a …
Think locally, act locally: Detection of small, medium-sized, and large communities in large networks
It is common in the study of networks to investigate intermediate-sized (or “meso-scale”)
features to try to gain an understanding of network structure and function. For example …
features to try to gain an understanding of network structure and function. For example …
Neural representations of events arise from temporal community structure
Our experience of the world seems to divide naturally into discrete, temporally extended
events, yet the mechanisms underlying the learning and identification of events are poorly …
events, yet the mechanisms underlying the learning and identification of events are poorly …