Search Results for author: Ed Bullmore

Found 2 papers, 1 papers with code

Neuroscience needs Network Science

no code implementations10 May 2023 Dániel L Barabási, Ginestra Bianconi, Ed Bullmore, Mark Burgess, SueYeon Chung, Tina Eliassi-Rad, Dileep George, István A. Kovács, Hernán Makse, Christos Papadimitriou, Thomas E. Nichols, Olaf Sporns, Kim Stachenfeld, Zoltán Toroczkai, Emma K. Towlson, Anthony M Zador, Hongkui Zeng, Albert-László Barabási, Amy Bernard, György Buzsáki

We explore the challenges and opportunities in integrating multiple data streams for understanding the neural transitions from development to healthy function to disease, and discuss the potential for collaboration between network science and neuroscience communities.

Powerlaw: a Python package for analysis of heavy-tailed distributions

1 code implementation1 May 2013 Jeff Alstott, Ed Bullmore, Dietmar Plenz

Power laws are theoretically interesting probability distributions that are also frequently used to describe empirical data.

Data Analysis, Statistics and Probability

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