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@INPROCEEDINGS{MoralesGregorio:916171,
author = {Morales-Gregorio, Aitor},
title = {{F}eedback modulation of neural manifolds in macaque
primary visual cortex},
reportid = {FZJ-2022-05991},
year = {2022},
abstract = {High-dimensional brain activity is in many cases organized
into lower-dimensional neuralmanifolds [1,2]. Feedback from
V4 to V1 is known to mediate visual attention [3]
andcomputational work has shown that it can also rotate
neural manifolds in acontext-dependent manner [4]. However,
whether feedback signals can modulate neuralmanifolds in
vivo remains to be ascertained.Here, we studied the neural
manifolds in macaque (Macaca mulatta) visual cortex
duringresting state [5] and found two distinct
high-dimensional clusters in the activity. The clusterswere
primarily correlated with behavioral state (eye closure) and
had distinct dimensionality.Granger causality analysis
revealed that feedback from V4 to V1 was significantly
strongerduring the eyes-open periods. Finally, spiking
neuron model simulations confirmed thatsignals mimicking
V4-to-V1 feedback can modulate neural manifolds. Taken
together, thedata analysis and simulations suggest that
feedback signals actively modulate neuralmanifolds in the
visual cortex of the macaque.References:[1] Stringer et al.
(2020). Nature 571, 361-365. 10.1038/s41586-019-1346-5[2]
Singh et al. (2008). Journal of Vision 8(8), 11.
10.1167/8.8.11[3] Poort et al. (2012). Neuron 75 (1),
143-156. 10.1016/j.neuron.2012.04.032[4] Naumann et al.
(2022). eLife 11, 76096. 10.7554/eLife.76096[5] Chen*,
Morales-Gregorio* et al. (2022). Scientific Data 9 (1), 77.
10.1038/s41597-022-01180-1},
organization = {Visit Prof. Tatyana Sharpee, Salk
Institute, San Diego (USA)},
subtyp = {Invited},
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 SGA3 -
Human Brain Project Specific Grant Agreement 3 (945539) /
SPP 2041 347572269 - Integration von
Multiskalen-Konnektivität und Gehirnarchitektur in einem
supercomputergestützten Modell der menschlichen
Großhirnrinde (347572269) / GRK 2416 - GRK 2416:
MultiSenses-MultiScales: Neue Ansätze zur Aufklärung
neuronaler multisensorischer Integration (368482240)},
pid = {G:(DE-HGF)POF4-5231 / G:(EU-Grant)945539 /
G:(GEPRIS)347572269 / G:(GEPRIS)368482240},
typ = {PUB:(DE-HGF)31},
url = {https://juser.fz-juelich.de/record/916171},
}