% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@MISC{Tavosanis:169074,
author = {Tavosanis, Gaia and Prisco, Luigi},
title = {{D}ataset: {APL} synapses distribution on {PN} and {KC}
meshes, primary data, calcium imaging macros and python
scripts from {P}risco et al.},
publisher = {Dryad},
reportid = {DZNE-2022-01781},
year = {2021},
abstract = {To identify and memorize discrete but similar environmental
inputs, the brain needs to distinguish between subtle
differences of activity patterns in defined neuronal
populations. The Kenyon cells of the Drosophila adult
mushroom body (MB) respond sparsely to complex olfactory
input, a property that is thought to support stimuli
discrimination in the MB. To understand how this property
emerges, we investigated the role of the inhibitory anterior
paired lateral neuron (APL) in the input circuit of the MB,
the calyx. Within the calyx, presynaptic boutons of
projection neurons (PNs) form large synaptic microglomeruli
(MGs) with dendrites of postsynaptic Kenyon cells (KCs).
Combining EM data analysis and in vivo calcium imaging, we
show that APL, via inhibitory and reciprocal synapses
targeting both PN boutons and KC dendrites, normalizes
odour-evoked representations in MGs of the calyx. APL
response scales with the PN input strength and is
regionalized around PN input distribution. Our data indicate
that the formation of a sparse code by the Kenyon cells
requires APL-driven normalization of their MG postsynaptic
responses. This work provides experimental insights on how
inhibition shapes sensory information representation in a
higher brain centre, thereby supporting stimuli
discrimination and allowing for efficient associative memory
formation.},
cin = {AG Tavosanis},
cid = {I:(DE-2719)1013018},
pnm = {351 - Brain Function (POF4-351)},
pid = {G:(DE-HGF)POF4-351},
typ = {PUB:(DE-HGF)32},
doi = {10.5061/dryad.bk3j9kdd1},
url = {https://pub.dzne.de/record/169074},
}