@misc{10481/70606,
year = {2021},
month = {10},
url = {http://hdl.handle.net/10481/70606},
abstract = {The interplay between structure and function affects the emerging properties of many natural systems. Here we use an adaptive neural network model that couples activity and topological dynamics and reproduces the experimental temporal profiles of synaptic density observed in the brain. We prove that the existence of a transient period of relatively high synaptic connectivity is critical for the development of the system under noise circumstances, such that the resulting network can recover stored memories. Moreover, we show that intermediate synaptic densities provide optimal developmental paths with minimum energy consumption, and that ultimately it is the transient heterogeneity in the network that determines its evolution. These results could explain why the pruning curves observed in actual brain areas present their characteristic temporal profiles and they also suggest new design strategies to build biologically inspired neural networks with particular information processing capabilities.},
organization = {The authors acknowledge financial support from the Spanish Ministry of Science and Technology, and the Agencia Espanola de Investigacion (AEI), Spain under grant FIS2017-84256-P (FEDER funds) and from the Consejeria de Conocimiento, Investigacion Universidad, Junta de Andalucia and European Regional Development Funds, Spain, Refs. SOMM17/6105/UGR and A-FQM-175UGR18. APM also acknowledges support from ``Obra Social La Caixa, Spain'' (ID 100010434 with code LCF/BQ/ES15/10360004) and from ZonMw, Netherlands and the Dutch Epilepsy Foundation, Netherlands, project number 95105006. SJ acknowledges support from the Alan Turing Institute under EPSRC, United Kingdom Grant No. EP/N510129/1.},
title = {Growth strategy determines the memory and structural properties of brain networks},
doi = {10.1016/j.neunet.2021.04.027},
author = {Torres Agudo, Joaquín and Marro Borau, Joaquín and Johnson, Samuel and Millán Vidal, Ana Paula},
}