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@ARTICLE{Shao:1042716,
author = {Shao, Yuxiu and Dahmen, David and Recanatesi, Stefano and
Shea-Brown, Eric and Ostojic, Srdjan},
title = {{I}mpact of {L}ocal {C}onnectivity {P}atterns on
{E}xcitatory-{I}nhibitory {N}etwork {D}ynamics},
journal = {PRX life},
volume = {3},
number = {2},
issn = {2835-8279},
address = {College Park, MD},
publisher = {American Physical Society},
reportid = {FZJ-2025-02662},
pages = {023008},
year = {2025},
abstract = {Networks of excitatory and inhibitory (EI) neurons form a
canonical circuit in the brain. Seminal theoretical results
on the dynamics of such networks are based on the assumption
that synaptic strengths depend on the type of neurons they
connect, but are otherwise statistically independent. Recent
synaptic physiology datasets, however, highlight the
prominence of specific connectivity patterns that go well
beyond what is expected from independent connections. While
decades of influential research have demonstrated the strong
role of the basic EI cell type structure, the extent to
which additional connectivity features influence dynamics
remains to be fully determined. Here we examine the effects
of pairwise connectivity motifs on the linear dynamics in
excitatory-inhibitory networks using an analytical framework
that approximates the connectivity in terms of low-rank
structures. This low-rank approximation is based on a
mathematical derivation of the dominant eigenvalues of the
connectivity matrix, and it predicts the impact on responses
to external inputs of connectivity motifs and their
interactions with cell-type structure. Our results reveal
that a particular pattern of connectivity, namely chain
motifs, have a much stronger impact on dominant eigenmodes
than other pairwise motifs. In particular, an
over-representation of chain motifs induces a strong
positive eigenvalue in inhibition-dominated networks, and it
generates a potential instability that requires revisiting
the classical excitation-inhibition balance criteria.
Examining the effects of external inputs, we show that chain
motifs can on their own induce paradoxical responses, where
an increased input to inhibitory neurons leads to a decrease
in their activity due to the recurrent feedback. These
findings have direct implications for the interpretation of
experiments in which responses to optogenetic perturbations
are measured and used to infer the dynamical regime of
cortical circuits.},
cin = {IAS-6},
ddc = {570},
cid = {I:(DE-Juel1)IAS-6-20130828},
pnm = {5231 - Neuroscientific Foundations (POF4-523) / 5232 -
Computational Principles (POF4-523) / DFG project
G:(GEPRIS)430157073 - Evolutinäre Konvergenz hierarchischer
Informationsverarbeitung (430157073)},
pid = {G:(DE-HGF)POF4-5231 / G:(DE-HGF)POF4-5232 /
G:(GEPRIS)430157073},
typ = {PUB:(DE-HGF)16},
doi = {10.1103/PRXLife.3.023008},
url = {https://juser.fz-juelich.de/record/1042716},
}