Loading...
Neuroscience Needs Network Science
Title / Series / Name
Publication Volume
Publication Issue
Pages
Authors
Barabási, Dániel L.
Bianconi, Ginestra
Bullmore, Ed
Burgess, Mark
Chung, Sue Yeon
Eliassi-Rad, Tina
George, Dileep
Kovács, István A.
Makse, Hernán
Nichols, Thomas E.
Papadimitriou, Christos
Sporns, Olaf
Stachenfeld, Kim
Toroczkai, Zoltán
Towlson, Emma K.
Zador, Anthony M.
Zeng, Hongkui
Barabási, Albert László
Bernard, Amy
Buzsáki, György
Bianconi, Ginestra
Bullmore, Ed
Burgess, Mark
Chung, Sue Yeon
Eliassi-Rad, Tina
George, Dileep
Kovács, István A.
Makse, Hernán
Nichols, Thomas E.
Papadimitriou, Christos
Sporns, Olaf
Stachenfeld, Kim
Toroczkai, Zoltán
Towlson, Emma K.
Zador, Anthony M.
Zeng, Hongkui
Barabási, Albert László
Bernard, Amy
Buzsáki, György
Editors
Keywords
Connectomics
Network Neuroscience
Network Science
NeuroAI
Neurodevelopment
Systems Neuroscience
General Neuroscience
SDG 3 - Good Health and Well-being
Network Neuroscience
Network Science
NeuroAI
Neurodevelopment
Systems Neuroscience
General Neuroscience
SDG 3 - Good Health and Well-being
URI
https://hdl.handle.net/20.500.14018/27128
Abstract
The brain is a complex system comprising a myriad of interacting neurons, posing significant challenges in understanding its structure, function, and dynamics. Network science has emerged as a powerful tool for studying such interconnected systems, offering a framework for integrating multiscale data and complexity. To date, network methods have significantly advanced functional imaging studies of the human brain and have facilitated the development of control theory-based applications for directing brain activity. Here, we discuss emerging frontiers for network neuroscience in the brain atlas era, addressing the challenges and opportunities in integrating multiple data streams for understanding the neural transitions from development to healthy function to disease. We underscore the importance of fostering interdisciplinary opportunities through workshops, conferences, and funding initiatives, such as supporting students and postdoctoral fellows with interests in both disciplines. By bringing together the network science and neuroscience communities, we can develop novel network-based methods tailored to neural circuits, paving the way toward a deeper understanding of the brain and its functions, as well as offering new challenges for network science.
Topic
Publisher
Place of Publication
Type
Journal article
Date
2023-08-23
Language
ISBN
Identifiers
10.1523/JNEUROSCI.1014-23.2023