Concurrence of form and function in developing networks and its role in synaptic pruning

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Concurrence of form and function in developing networks and its role in synaptic pruning. / Millan, Ana Paula; Torres, Joaquin; Johnson, Samuel; Marro, Joaquin.

In: Nature Communications, Vol. 9, No. 1, 2236, 08.06.2018.

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Millan, Ana Paula ; Torres, Joaquin ; Johnson, Samuel ; Marro, Joaquin. / Concurrence of form and function in developing networks and its role in synaptic pruning. In: Nature Communications. 2018 ; Vol. 9, No. 1.

Bibtex

@article{b1c74bb818c14323b0230d0ff3477620,
title = "Concurrence of form and function in developing networks and its role in synaptic pruning",
abstract = "A fundamental question in neuroscience is how structure and function of neural systems are related. We study this interplay by combining a familiar auto-associative neural network with an evolving mechanism for the birth and death of synapses. A feedback loop then arises leading to two qualitatively different types of behaviour. In one, the network structure becomes heterogeneous and dissasortative, and the system displays good memory performance; furthermore, the structure is optimised for the particular memory patterns stored during the process. In the other, the structure remains homogeneous and incapable of pattern retrieval. These findings provide an inspiring picture of brain structure and dynamics that is compatible with experimental results on early brain development, and may help to explain synaptic pruning. Other evolving networks—such as those of protein interactions—might share the basic ingredients for this feedback loop and other questions, and indeed many of their structural features are as predicted by our model.",
keywords = "Neuroscience, Complex systems, Networks, Synaptic pruning",
author = "Millan, {Ana Paula} and Joaquin Torres and Samuel Johnson and Joaquin Marro",
year = "2018",
month = jun,
day = "8",
doi = "10.1038/s41467-018-04537-6",
language = "English",
volume = "9",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "Springer",
number = "1",

}

RIS

TY - JOUR

T1 - Concurrence of form and function in developing networks and its role in synaptic pruning

AU - Millan, Ana Paula

AU - Torres, Joaquin

AU - Johnson, Samuel

AU - Marro, Joaquin

PY - 2018/6/8

Y1 - 2018/6/8

N2 - A fundamental question in neuroscience is how structure and function of neural systems are related. We study this interplay by combining a familiar auto-associative neural network with an evolving mechanism for the birth and death of synapses. A feedback loop then arises leading to two qualitatively different types of behaviour. In one, the network structure becomes heterogeneous and dissasortative, and the system displays good memory performance; furthermore, the structure is optimised for the particular memory patterns stored during the process. In the other, the structure remains homogeneous and incapable of pattern retrieval. These findings provide an inspiring picture of brain structure and dynamics that is compatible with experimental results on early brain development, and may help to explain synaptic pruning. Other evolving networks—such as those of protein interactions—might share the basic ingredients for this feedback loop and other questions, and indeed many of their structural features are as predicted by our model.

AB - A fundamental question in neuroscience is how structure and function of neural systems are related. We study this interplay by combining a familiar auto-associative neural network with an evolving mechanism for the birth and death of synapses. A feedback loop then arises leading to two qualitatively different types of behaviour. In one, the network structure becomes heterogeneous and dissasortative, and the system displays good memory performance; furthermore, the structure is optimised for the particular memory patterns stored during the process. In the other, the structure remains homogeneous and incapable of pattern retrieval. These findings provide an inspiring picture of brain structure and dynamics that is compatible with experimental results on early brain development, and may help to explain synaptic pruning. Other evolving networks—such as those of protein interactions—might share the basic ingredients for this feedback loop and other questions, and indeed many of their structural features are as predicted by our model.

KW - Neuroscience

KW - Complex systems

KW - Networks

KW - Synaptic pruning

U2 - 10.1038/s41467-018-04537-6

DO - 10.1038/s41467-018-04537-6

M3 - Article

VL - 9

JO - Nature Communications

JF - Nature Communications

SN - 2041-1723

IS - 1

M1 - 2236

ER -