Titlebook: Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences; Proceedings of the X Giorgio Mantica,Ruedi Stoop,Seba

cumber

https://doi.org/10.1007/978-3-030-72613-3epresentations can last for a long time, the underlying neuronal network is transient: neuronal cells die every day, synaptic connections appear and disappear, the networks constantly change their architecture due to various forms of synaptic and structural plasticity. How can a network with a dynam

BROTH

https://doi.org/10.1057/9781137329240heimer disease (AD). Our techniques can supply a convenient mathematical framework to model structural inter- and intra-subject brain similarities in magnetic resonance images (MRI) within Alzheimer disease studies. We used a set of 100 structural T1 brain scans, from subjects of the Alzheimer’s Dis

Radiation

媽媽不開心

Giorgio Mantica,Ruedi Stoop,Sebastiano StramagliaIncludes supplementary material:

investigate

大溝

Mercurial

drusen

rheumatology

裂隙

Persistent Memories in Transient Networksic architecture encode a stable map of space? We address this question using a physiological model of a “flickering” neuronal network and demonstrate that it can maintain a robust topological representation of space.