413 citations · 934 across the 23 of their papers we have counts for
9 papers · 1 filter
Effective learning is accompanied by high dimensional and efficient representations of neural activity
Evelyn Tang, Marcelo G. Mattar, Chad Giusti +2
A fundamental cognitive process is the ability to map value and identity onto objects as we learn about them. Exactly how such mental constructs emerge and what kind of space best…
Knowledge gaps in the early growth of semantic networks
Ann E. Sizemore, Elisabeth A. Karuza, Chad Giusti +1
Understanding the features of and mechanisms behind language learning can provide insights into the general process of knowledge acquisition. Recent methods from network science ap…
Cliques and Cavities in the Human Connectome
Ann Sizemore, Chad Giusti, Ari Kahn +2
Encoding brain regions and their connections as a network of nodes and edges captures many of the possible paths along which information can be transmitted as humans process and pe…
Developmental increases in white matter network controllability support a growing diversity of brain dynamics
Evelyn Tang, Chad Giusti, Graham Baum +10
As the human brain develops, it increasingly supports coordinated control of neural activity. The mechanism by which white matter evolves to support this coordination is not well u…
Two's company, three (or more) is a simplex: Algebraic-topological tools for understanding higher-order structure in neural data
Chad Giusti, Robert Ghrist, Danielle S. Bassett
The language of graph theory, or network science, has proven to be an exceptional tool for addressing myriad problems in neuroscience. Yet, the use of networks is predicated on a c…
Choosing Wavelet Methods, Filters, and Lengths for Functional Brain Network Construction
Zitong Zhang, Qawi K. Telesford, Chad Giusti +2
Wavelet methods are widely used to decompose fMRI, EEG, or MEG signals into time series representing neurophysiological activity in fixed frequency bands. Using these time series,…