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Clustered Arrangement of Inhibitory Neurons Can Lead to Oscillatory Dynamics in a Model of Activity-Dependent Structural Plasticity

Barnard, Rosanna C; Kiss, Istvan Z; Farmer, Simon F; Berthouze, Luc; (2017) Clustered Arrangement of Inhibitory Neurons Can Lead to Oscillatory Dynamics in a Model of Activity-Dependent Structural Plasticity. In: Van Ooyen, Arjen and Butz-Ostendorf, Markus, (eds.) The Rewiring Brain: A Computational Approach to Structural Plasticity in the Adult Brain. (pp. 123-154). Academic Press (Elsevier): Amsterdam, The Netherlands.

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Abstract

The balance between excitation and inhibition in a neuronal network is considered to be an important determinant of neural excitability. Various processes are thought to maintain this balance across a range of stimuli/conditions. However, how this balance is exactly formed and maintained remains an open question, especially regarding the interplay between network blue-print (the spatial arrangement of excitatory and inhibitory neurons) and homeostatic processes. In this chapter, we use a published model of activity-dependent structural plasticity to show that the ratio between the number of excitatory and inhibitory neurons (E/I ratio) alone cannot accurately predict system behavior but rather it is the combination of this ratio and the underlying spatial arrangement of neurons that determine both activity in, and structure of, the resulting network. In particular, we highlight the role of spatial clustering of inhibitory neurons. We develop measures that allow us to characterize the relationship between this spatial clustering and system behavior in both the one-dimensional and two-dimensional forms of the model. Our results reveal that, for a given E/I ratio, networks with high levels of inhibitory spatial clustering are more likely to experience oscillatory behavior of their connectivity and electrical activity than networks with lower levels of clustering. This instability of the network structure can be thought of as a pathological outcome. We discuss implications these results may have on future modeling studies in this field and speculate about their relationship to neurodevelopmental physiology and pathophysiology.

Type: Book chapter
Title: Clustered Arrangement of Inhibitory Neurons Can Lead to Oscillatory Dynamics in a Model of Activity-Dependent Structural Plasticity
ISBN-13: 978-0-12-803784-3
DOI: 10.1016/B978-0-12-803784-3.00006-8
Publisher version: https://doi.org/10.1016/b978-0-12-803784-3.00006-8
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Activity-dependent growth model; dynamic networks; homeostatic plasticity; development; excitation—inhibition balance; inhibition–inhibition connectivity
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Developmental Neurosciences Dept
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Clinical and Movement Neurosciences
URI: https://discovery.ucl.ac.uk/id/eprint/10217832
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