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@INPROCEEDINGS{Shimoura:909873,
author = {Shimoura, Renan and Roque, Antonio C. and van Albada,
Sacha},
title = {{A}lpha rhythm generators in a full-density spiking
thalamocortical microcircuit model},
reportid = {FZJ-2022-03482},
year = {2022},
note = {References: [1] Clayton, M. S., Yeung, N., $\&$ Cohen
Kadosh, R. (2017). The many characters of visual alpha
oscillations. European Journal of Neuroscience.,
10.1111/ejn.13747; [2] Silva, L., Amitai, Y., $\&$ Connors,
B. (1991). Intrinsic oscillations of neocortex generated by
layer 5 pyramidal neurons. Science, 251(4992), 432–435.,
10.1126/science.1824881; [3] Roberts, J. A., $\&$ Robinson,
P. A. (2008). Modeling absence seizure dynamics:
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Theoretical Biology, 253(1), 189–201.,
10.1016/j.jtbi.2008.03.005; [4] Van Kerkoerle, T., Self, M.
W., Dagnino, B., Gariel-Mathis, M. A., Poort, J., Van Der
Togt, C., $\&$ Roelfsema, P. R. (2014). Alpha and gamma
oscillations characterize feedback and feedforward
processing in monkey visual cortex. Proceedings of the
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10.1073/pnas.1402773111; [5] Bollimunta, A., Mo, J.,
Schroeder, C. E., $\&$ Ding, M. (2011). Neuronal mechanisms
and attentional modulation of corticothalamic alpha
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10.1523/JNEUROSCI.5580-10.2011},
abstract = {The alpha rhythm (~10 Hz) is one of the most studied
oscillations in the brain and is mainly related to
spontaneous ongoing activity. It particularly occurs over
occipitoparietal regions of a variety of mammals during the
eyes-closed condition. Classically, the alpha rhythm is
associated with reductions in visual attention, but more
recently other functions such as facilitation of the
communication of top-down predictions to the visual cortex
and stabilization of visual processing [1] have been
suggested. An important step toward elucidating these
functions is exploring how and where this oscillation
originates. Several hypotheses point to thalamic and
cortical circuits as the main source of the alpha rhythm,
but the precise substrate and mechanism remain to be
determined.The aim of this work is to build a cellularly
resolved thalamocortical model involving the primary visual
cortex and the lateral geniculate nucleus and study possible
alpha generator hypotheses. The cortical component covers 1
mm2 of cortical surface and is divided into four layers
(L2/3, L4, L5, and L6) each containing the full density of
excitatory and inhibitory spiking neurons modeled by the
adaptive exponential integrate-and-fire model. Cortical
neurons in L4 and L6 receive thalamocortical connections. In
turn, L6 neurons send feedback to thalamus. Two potential
candidates for generating alpha were studied: 1) pyramidal
neurons in L5 that produce rhythmic bursts around 10 Hz [2];
2) a thalamocortical loop delay of around 100 ms previously
suggested in mean-field models [3]. Current source density
signals were estimated from the simulated spiking activity
for direct comparison of spectra and Granger causality (GC)
with experimental data [4, 5]. All network simulations were
performed using the NEST simulator.The spontaneous activity
of the cortical microcircuit was analyzed, and the two
hypotheses were separately tested in the model. Our results
show that both mechanisms are able to support alpha
oscillations, but with different laminar patterns.
Hypothesis 1 points to GC in the alpha range originating
mainly in L5 and L2/3, while Hypothesis 2 points to L4 and
L6 as the main source layers. These laminar patterns
qualitatively reproduce empirical observations in monkey
visual cortex from [4] and [5], respectively. Thus, the two
proposed mechanisms may contribute differentially to alpha
rhythms expressed in different individuals, brain states, or
behavioral conditions.},
month = {Sep},
date = {2022-09-13},
organization = {Bernstein Conference 2022, Berlin
(Germany), 13 Sep 2022 - 16 Sep 2022},
subtyp = {Panel discussion},
keywords = {Computational Neuroscience (Other) / Networks, dynamical
systems (Other)},
cin = {INM-6 / IAS-6 / INM-10},
cid = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)IAS-6-20130828 /
I:(DE-Juel1)INM-10-20170113},
pnm = {5231 - Neuroscientific Foundations (POF4-523) / HBP SGA2 -
Human Brain Project Specific Grant Agreement 2 (785907) /
HBP SGA3 - Human Brain Project Specific Grant Agreement 3
(945539) / DFG project 347572269 - Heterogenität von
Zytoarchitektur, Chemoarchitektur und Konnektivität in
einem großskaligen Computermodell der menschlichen
Großhirnrinde (347572269)},
pid = {G:(DE-HGF)POF4-5231 / G:(EU-Grant)785907 /
G:(EU-Grant)945539 / G:(GEPRIS)347572269},
typ = {PUB:(DE-HGF)24},
doi = {10.12751/NNCN.BC2022.268},
url = {https://juser.fz-juelich.de/record/909873},
}