Connectomics to Semantomics: Addressing the Brain's Big Data Challenge1-Reference-Cited by-同舟云学术

Connectomics to Semantomics: Addressing the Brain's Big Data Challenge1

Published:2015 Issue: Volume:53 Page:48-55
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Arsiwalla Xerxes D.,Dalmazzo David,Zucca Riccardo,Betella Alberto,Brandi Santiago,Martinez Enrique,Omedas Pedro,Verschure Paul

Publisher

Elsevier BV

Subject

General Engineering

Reference14 articles.

1. X D Arsiwalla, Alberto Betella, E. Mart́ınez, P. Omedas, R. Zucca, and PFMJ Verschure. The dynamic connectome: a tool for large scale 3d reconstruction of brain activity in real time. In 27th European Conference on Modeling and Simulation, Alesund (Norway), 2013. ECMS W. Rekdals- bakken, R. Bye, H. Zhang eds., ECMS W. Rekdalsbakken, R. Bye, H. Zhang eds.

2. Xerxes D. Arsiwalla, Riccardo Zucca, Alberto Betella, Enrique Martinez, David Dalmazzo, Pedro Omedas, Gustavo Deco, and Paul Verschure. Network dynamics with brainx3: A large-scale simulation of the human brain network with real-time interaction. Frontiers in Neuroinformatics, 9(2), 2015.

3. Ulysses Bernardet, Sergi Bermúdez i Badia, Armin Duff, Martin Inderbitzin, Sylvain Le Groux, Ĵonatas Manzolli, Zenon Mathews, Anna Mura, Aleksander V̈aljamäe, and Paul F.M.J. Verschure. The eXperience Induction Machine: A New Paradigm for Mixed-Reality Interaction Design and Psychological Experimentation. In Emmanuel Dubois, Philip Gray, and Laurence Nigay, editors, The Engineering of Mixed Reality Systems, Human-Computer Interaction Series, pages 357-379. Springer London, London, 2010.

4. Ulysses Bernardet and Paul F M J Verschure. iqr: a tool for the construction of multi-level simulations of brain and behaviour. Neuroinformatics, 8(2):113-134, 2010.

5. Alberto Betella, Ryszard Cetnarski, Riccardo Zucca, Xerxes D. Arsiwalla, Enrique Martinez, Pedro Omedas, Anna Mura, and Paul F. M. J. Verschure. BrainX3: embodied exploration of neural data. In Virtual Reality International Conference (VRIC “14), Laval, France, 2014.

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Patient-specific modeling for guided rehabilitation of stroke patients: the BrainX3 use-case;Frontiers in Neurology;2023-11-30

2. The Morphospace of Consciousness: Three Kinds of Complexity for Minds and Machines;NeuroSci;2023-03-27

3. BrainX3: A Neuroinformatic Tool for Interactive Exploration of Multimodal Brain Datasets;Biomimetic and Biohybrid Systems;2023

4. The Degree Distribution of Human Brain Functional Connectivity is Generalized Pareto: A Multi-Scale Analysis;2019-11-13

5. Measuring the Complexity of Consciousness;Frontiers in Neuroscience;2018-06-27