| 1 |
Benozzo D, Baron G, Coletta L, Chiuso A, Gozzi A, Bertoldo A. Macroscale coupling between structural and effective connectivity in the mouse brain. bioRxiv 2023:2023. [PMID: 36865122 DOI: 10.1101/2023.02.22.529400] [Reference Citation Analysis]
|
| 2 |
Ranson JM, Bucholc M, Lyall D, Newby D, Winchester L, Oxtoby NP, Veldsman M, Rittman T, Marzi S, Skene N, Al Khleifat A, Foote IF, Orgeta V, Kormilitzin A, Lourida I, Llewellyn DJ. Harnessing the potential of machine learning and artificial intelligence for dementia research. Brain Inform 2023;10:6. [PMID: 36829050 DOI: 10.1186/s40708-022-00183-3] [Reference Citation Analysis]
|
| 3 |
Yalçınkaya BH, Ziaeemehr A, Fousek J, Hashemi M, Lavanga M, Solodkin A, Mcintosh AR, Jirsa VK, Petkoski S. Personalized virtual brains of Alzheimer’s Disease link dynamical biomarkers of fMRI with increased local excitability.. [DOI: 10.1101/2023.01.11.23284438] [Reference Citation Analysis]
|
| 4 |
Camps O, Stavrinides SG, de Benito C, Picos R. Implementation of the Hindmarsh–Rose Model Using Stochastic Computing. Mathematics 2022;10:4628. [DOI: 10.3390/math10234628] [Reference Citation Analysis]
|
| 5 |
Redolfi A, Archetti D, De Francesco S, Crema C, Tagliavini F, Lodi R, Ghidoni R, Gandini Wheeler-Kingshott CAM, Alexander DC, D'Angelo E. Italian, European, And International Neuroinformatics Efforts: An Overview. Eur J Neurosci 2022. [PMID: 36310103 DOI: 10.1111/ejn.15854] [Reference Citation Analysis]
|
| 6 |
Masoli S, Rizza MF, Tognolina M, Prestori F, D’angelo E. Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation. Front Comput Neurosci 2022;16. [DOI: 10.3389/fncom.2022.1006989] [Reference Citation Analysis]
|
| 7 |
Griffiths JD, Shen K, Gleeson P. Editorial: Neuroinformatics of large-scale brain modelling. Front Neuroinform 2022;16:1043732. [DOI: 10.3389/fninf.2022.1043732] [Reference Citation Analysis]
|
